--- EXPERIMENT NOTES
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken.
#
### General parameters ###
#
# The maximum number of sequences to use for the master file
sequence_limit=90
# The random seed
random_seed=3976763
#
### Alignment ###
#
# The alignment method: clustalw, muscle, kalign, t_coffee, or amap
align_method=muscle
# Minimum support value for amino acid positions in the alignment
tcoffee_min_score=3
#
### MrBayes ###
#
# Number of iterations in MrBayes
mrbayes_generations=1000000
# MrBayes burnin
mrbayes_burnin=2500
#
### FUBAR ###
#
# The maximum number of sequences to be used by FUBAR.
fubar_sequence_limit=90
# The number of FUBAR runs
fubar_runs=1
#
### codeML ###
#
# The maximum number of sequences to be used by CodeML
codeml_sequence_limit=30
# The number of CodeML runs
codeml_runs=1
# The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'.
codeml_models=1 2 7 8
#
### OmegaMap ###
#
# The maximum number of sequences to use in OmegaMap
omegamap_sequence_limit=90
# The number of OmegaMap runs
omegamap_runs=1
# The number of OmegaMap iterations
omegamap_iterations=2500
--- EXPERIMENT PROPERTIES
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -7484.05 -7515.10
2 -7483.50 -7514.69
--------------------------------------
TOTAL -7483.74 -7514.91
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.156797 0.000134 0.134497 0.178876 0.156349 1228.32 1364.66 1.000
r(A<->C){all} 0.055321 0.000149 0.032386 0.078147 0.054434 969.88 1055.65 1.000
r(A<->G){all} 0.151862 0.000448 0.112181 0.193772 0.150759 756.89 904.34 1.002
r(A<->T){all} 0.072120 0.000142 0.050287 0.096818 0.071785 647.55 748.58 1.000
r(C<->G){all} 0.069538 0.000252 0.038188 0.099383 0.068427 777.00 927.48 1.005
r(C<->T){all} 0.548394 0.000883 0.490673 0.605908 0.548082 585.72 646.33 1.000
r(G<->T){all} 0.102766 0.000296 0.070216 0.137193 0.101962 887.26 907.27 1.000
pi(A){all} 0.279875 0.000055 0.266377 0.295131 0.279698 973.84 1076.40 1.000
pi(C){all} 0.232378 0.000048 0.218800 0.245480 0.232409 886.18 1048.79 1.000
pi(G){all} 0.181701 0.000044 0.169389 0.195134 0.181584 986.60 1044.78 1.001
pi(T){all} 0.306047 0.000057 0.291574 0.321130 0.306062 733.25 908.16 1.000
alpha{1,2} 0.191222 0.004661 0.046877 0.327570 0.189392 866.12 909.07 1.000
alpha{3} 2.695398 1.708067 0.687728 5.223943 2.458444 1071.04 1088.22 1.000
pinvar{all} 0.666877 0.002267 0.568859 0.750718 0.674025 659.46 732.54 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -7319.929029
Model 2: PositiveSelection -7313.200978
Model 7: beta -7321.252785
Model 8: beta&w>1 -7313.234476
Model 2 vs 1 13.456102
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.905 2.665
40 R 0.997** 2.929
42 S 0.998** 2.930
93 L 0.803 2.373
99 H 0.916 2.696
106 L 0.998** 2.932
148 H 1.000** 2.936
158 E 0.907 2.672
230 S 0.998** 2.931
233 S 0.992** 2.913
275 E 0.900 2.650
516 V 0.888 2.617
529 F 0.899 2.647
533 K 0.915 2.693
550 V 0.997** 2.928
623 A 1.000** 2.936
641 Q 0.998** 2.929
667 T 0.901 2.654
669 I 0.993** 2.915
906 S 0.923 2.716
1015 I 0.990* 2.907
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.712 2.244 +- 0.965
40 R 0.886 2.587 +- 0.739
42 S 0.896 2.606 +- 0.723
93 L 0.585 1.977 +- 1.025
99 H 0.729 2.279 +- 0.952
106 L 0.914 2.638 +- 0.693
148 H 0.974* 2.739 +- 0.565
158 E 0.716 2.252 +- 0.963
230 S 0.907 2.625 +- 0.706
233 S 0.796 2.420 +- 0.847
275 E 0.704 2.227 +- 0.971
516 V 0.687 2.193 +- 0.982
529 F 0.702 2.224 +- 0.972
533 K 0.727 2.275 +- 0.954
550 V 0.885 2.585 +- 0.741
623 A 0.943 2.687 +- 0.635
641 Q 0.893 2.601 +- 0.728
667 T 0.706 2.232 +- 0.970
669 I 0.808 2.442 +- 0.836
906 S 0.741 2.303 +- 0.942
1015 I 0.774 2.377 +- 0.866
Model 8 vs 7 16.036618
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.897 2.644
40 R 0.997** 2.926
42 S 0.997** 2.928
93 L 0.789 2.336
99 H 0.909 2.677
106 L 0.998** 2.930
148 H 1.000** 2.936
158 E 0.900 2.650
230 S 0.998** 2.929
233 S 0.990* 2.906
275 E 0.891 2.627
516 V 0.879 2.592
529 F 0.890 2.625
533 K 0.907 2.673
550 V 0.997** 2.926
623 A 1.000** 2.935
641 Q 0.997** 2.927
667 T 0.893 2.632
669 I 0.991** 2.909
906 S 0.916 2.698
1015 I 0.987* 2.899
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.815 2.122 +- 0.840
40 R 0.959* 2.414 +- 0.486
42 S 0.963* 2.422 +- 0.472
93 L 0.708 1.895 +- 0.971
99 H 0.829 2.150 +- 0.817
106 L 0.970* 2.435 +- 0.447
148 H 0.995** 2.479 +- 0.342
158 E 0.818 2.127 +- 0.835
230 S 0.967* 2.430 +- 0.457
233 S 0.919 2.337 +- 0.601
275 E 0.809 2.108 +- 0.850
516 V 0.796 2.080 +- 0.869
529 F 0.808 2.106 +- 0.851
533 K 0.827 2.146 +- 0.820
550 V 0.958* 2.413 +- 0.488
623 A 0.986* 2.464 +- 0.381
641 Q 0.961* 2.419 +- 0.477
667 T 0.811 2.112 +- 0.847
669 I 0.923 2.347 +- 0.590
906 S 0.838 2.168 +- 0.802
1015 I 0.907 2.315 +- 0.629
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:43 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:55:43 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result/gapped_alignment/codeml,NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result.1--
MrBayes v3.2.6 x64
(Bayesian Analysis of Phylogeny)
Distributed under the GNU General Public License
Type "help" or "help <command>" for information
on the commands that are available.
Type "about" for authorship and general
information about the program.
Executing file "/data/mrbayes_input.nex"
UNIX line termination
Longest line length = 63
Parsing file
Expecting NEXUS formatted file
Reading data block
Allocated taxon set
Allocated matrix
Defining new matrix with 30 taxa and 3480 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C11
Taxon 2 -> C14
Taxon 3 -> C15
Taxon 4 -> C16
Taxon 5 -> C17
Taxon 6 -> C2
Taxon 7 -> C20
Taxon 8 -> C23
Taxon 9 -> C26
Taxon 10 -> C29
Taxon 11 -> C3
Taxon 12 -> C30
Taxon 13 -> C32
Taxon 14 -> C35
Taxon 15 -> C36
Taxon 16 -> C38
Taxon 17 -> C39
Taxon 18 -> C4
Taxon 19 -> C40
Taxon 20 -> C41
Taxon 21 -> C42
Taxon 22 -> C46
Taxon 23 -> C47
Taxon 24 -> C48
Taxon 25 -> C5
Taxon 26 -> C52
Taxon 27 -> C54
Taxon 28 -> C6
Taxon 29 -> C7
Taxon 30 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667940946
Setting output file names to "/data/mrbayes_input.nex.run<i>.<p|t>"
Exiting data block
Reading mrbayes block
Setting autoclose to yes
Setting nowarnings to yes
Defining charset called 'first_pos'
Defining charset called 'second_pos'
Defining charset called 'third_pos'
Defining partition called 'by_codon'
Setting by_codon as the partition, dividing characters into 3 parts.
Setting model defaults
Seed (for generating default start values) = 1801302262
Setting Nst to 6 for partition 1
Setting Nst to 6 for partition 2
Setting Nst to 6 for partition 3
Setting Rates to Invgamma for partition 1
Setting Rates to Invgamma for partition 2
Setting Rates to Invgamma for partition 3
Successfully set likelihood model parameters to all
applicable data partitions
Unlinking
Setting number of generations to 1000000
Running Markov chain
MCMC stamp = 9799936070
Seed = 1845259517
Swapseed = 1667940946
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 51 unique site patterns
Division 2 has 43 unique site patterns
Division 3 has 141 unique site patterns
Initializing conditional likelihoods
Using standard SSE likelihood calculator for division 1 (single-precision)
Using standard SSE likelihood calculator for division 2 (single-precision)
Using standard SSE likelihood calculator for division 3 (single-precision)
Initializing invariable-site conditional likelihoods
Initial log likelihoods and log prior probs for run 1:
Chain 1 -- -11352.342276 -- 82.122948
Chain 2 -- -11492.341703 -- 82.122948
Chain 3 -- -11491.067514 -- 82.122948
Chain 4 -- -11413.825346 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -11487.512836 -- 82.122948
Chain 2 -- -11575.167798 -- 82.122948
Chain 3 -- -11521.504023 -- 82.122948
Chain 4 -- -11266.951500 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-11352.342] (-11492.342) (-11491.068) (-11413.825) * [-11487.513] (-11575.168) (-11521.504) (-11266.951)
1000 -- (-7860.145) [-7699.866] (-8020.986) (-7934.697) * (-7730.114) (-7765.082) (-7761.735) [-7739.089] -- 0:16:39
2000 -- (-7617.561) [-7545.735] (-7621.311) (-7660.192) * [-7530.790] (-7542.398) (-7564.785) (-7590.303) -- 0:24:57
3000 -- (-7587.301) [-7505.251] (-7563.909) (-7582.625) * (-7509.889) [-7504.462] (-7543.017) (-7540.852) -- 0:22:09
4000 -- (-7523.618) [-7508.882] (-7520.918) (-7517.775) * (-7499.886) [-7507.644] (-7547.654) (-7512.132) -- 0:24:54
5000 -- (-7507.497) [-7508.203] (-7526.895) (-7514.079) * (-7501.803) [-7489.632] (-7533.038) (-7516.149) -- 0:23:13
Average standard deviation of split frequencies: 0.086585
6000 -- (-7498.937) (-7511.732) (-7507.306) [-7489.863] * (-7499.771) [-7491.738] (-7495.850) (-7504.480) -- 0:24:51
7000 -- (-7499.196) (-7504.832) (-7501.287) [-7491.593] * (-7508.581) (-7496.727) (-7508.484) [-7490.586] -- 0:23:38
8000 -- (-7516.926) (-7499.183) (-7487.541) [-7486.754] * (-7511.714) (-7498.505) [-7496.267] (-7491.608) -- 0:24:48
9000 -- (-7517.319) (-7515.145) [-7486.384] (-7501.248) * (-7506.856) [-7506.903] (-7500.143) (-7494.897) -- 0:23:51
10000 -- (-7513.377) [-7497.189] (-7500.493) (-7515.595) * (-7509.908) (-7507.938) [-7490.237] (-7531.032) -- 0:24:45
Average standard deviation of split frequencies: 0.059220
11000 -- (-7507.118) (-7500.935) [-7484.535] (-7514.509) * [-7509.398] (-7503.039) (-7494.606) (-7515.737) -- 0:23:58
12000 -- [-7490.101] (-7499.299) (-7500.338) (-7522.498) * (-7498.565) (-7498.351) (-7491.321) [-7498.739] -- 0:24:42
13000 -- (-7498.302) [-7495.681] (-7499.157) (-7505.000) * (-7509.029) (-7504.520) (-7499.238) [-7496.908] -- 0:24:02
14000 -- (-7506.671) [-7498.087] (-7512.907) (-7503.537) * (-7513.738) (-7501.455) [-7504.276] (-7517.576) -- 0:24:39
15000 -- (-7514.170) (-7499.311) [-7481.933] (-7497.710) * (-7509.596) (-7502.517) [-7496.003] (-7512.980) -- 0:24:04
Average standard deviation of split frequencies: 0.032830
16000 -- (-7498.778) (-7505.471) [-7487.967] (-7509.088) * (-7514.266) [-7498.852] (-7519.033) (-7495.804) -- 0:24:36
17000 -- (-7494.124) (-7492.553) (-7500.506) [-7499.371] * (-7506.382) (-7500.365) (-7506.095) [-7501.179] -- 0:24:05
18000 -- (-7514.391) (-7505.269) (-7497.731) [-7495.038] * (-7514.228) (-7516.887) [-7500.036] (-7504.188) -- 0:23:38
19000 -- (-7503.121) (-7505.894) [-7506.972] (-7513.053) * (-7503.868) (-7522.195) (-7494.846) [-7492.855] -- 0:24:05
20000 -- (-7508.655) (-7500.545) (-7512.130) [-7490.365] * [-7501.009] (-7504.025) (-7504.860) (-7506.874) -- 0:23:41
Average standard deviation of split frequencies: 0.030675
21000 -- (-7492.875) (-7492.410) (-7506.018) [-7496.898] * (-7491.913) (-7521.549) [-7496.821] (-7520.049) -- 0:24:05
22000 -- (-7503.525) [-7498.808] (-7500.738) (-7515.065) * (-7507.498) (-7492.725) (-7524.897) [-7501.600] -- 0:23:42
23000 -- (-7494.934) (-7496.376) (-7512.259) [-7492.079] * (-7506.061) [-7497.238] (-7505.793) (-7493.037) -- 0:24:04
24000 -- [-7488.807] (-7516.599) (-7501.260) (-7495.581) * (-7506.503) (-7494.385) [-7500.785] (-7491.834) -- 0:23:43
25000 -- [-7492.466] (-7512.804) (-7503.374) (-7491.854) * (-7523.127) (-7524.158) [-7492.477] (-7498.379) -- 0:24:03
Average standard deviation of split frequencies: 0.031600
26000 -- [-7494.752] (-7529.809) (-7504.048) (-7501.198) * [-7499.161] (-7500.846) (-7494.656) (-7519.681) -- 0:23:43
27000 -- [-7500.984] (-7514.552) (-7509.592) (-7515.175) * (-7500.109) (-7510.561) [-7489.536] (-7517.624) -- 0:24:01
28000 -- [-7494.148] (-7509.669) (-7504.020) (-7503.929) * (-7494.035) [-7490.392] (-7494.317) (-7520.226) -- 0:23:43
29000 -- (-7496.388) [-7490.339] (-7505.851) (-7501.117) * (-7494.880) (-7502.191) [-7497.170] (-7498.190) -- 0:23:59
30000 -- (-7489.962) [-7489.067] (-7510.702) (-7511.182) * (-7488.590) (-7516.626) (-7506.331) [-7493.976] -- 0:23:42
Average standard deviation of split frequencies: 0.024793
31000 -- (-7508.033) (-7516.910) [-7508.579] (-7506.219) * (-7512.106) [-7493.987] (-7509.343) (-7488.555) -- 0:23:57
32000 -- (-7509.769) (-7499.529) (-7505.069) [-7495.290] * (-7510.901) [-7500.279] (-7501.227) (-7494.151) -- 0:23:41
33000 -- (-7527.869) [-7506.053] (-7513.031) (-7513.713) * (-7512.443) (-7507.655) (-7505.453) [-7498.057] -- 0:23:55
34000 -- (-7520.360) (-7513.122) (-7497.935) [-7506.509] * [-7493.376] (-7496.796) (-7519.127) (-7503.685) -- 0:23:40
35000 -- (-7508.712) (-7498.677) (-7515.448) [-7495.805] * (-7497.796) [-7488.334] (-7523.783) (-7502.779) -- 0:23:53
Average standard deviation of split frequencies: 0.023480
36000 -- (-7506.552) (-7498.847) (-7507.313) [-7504.949] * [-7489.937] (-7492.580) (-7522.581) (-7497.352) -- 0:23:39
37000 -- (-7501.749) (-7499.997) (-7503.424) [-7504.857] * [-7483.550] (-7492.563) (-7496.732) (-7517.413) -- 0:23:51
38000 -- [-7501.403] (-7503.074) (-7491.836) (-7504.550) * (-7491.913) (-7499.666) [-7497.861] (-7529.183) -- 0:23:37
39000 -- [-7500.582] (-7512.782) (-7505.684) (-7523.116) * (-7499.978) (-7520.157) [-7486.570] (-7514.511) -- 0:23:49
40000 -- (-7501.028) (-7518.617) [-7505.676] (-7499.749) * (-7502.917) (-7526.794) (-7488.329) [-7498.150] -- 0:23:36
Average standard deviation of split frequencies: 0.023983
41000 -- (-7495.945) (-7525.949) (-7514.598) [-7486.228] * (-7496.510) [-7492.553] (-7504.975) (-7518.188) -- 0:23:46
42000 -- (-7491.149) (-7514.720) (-7515.208) [-7502.040] * (-7515.467) [-7498.506] (-7515.025) (-7511.989) -- 0:23:34
43000 -- (-7531.231) (-7493.133) (-7492.360) [-7498.709] * [-7494.845] (-7500.368) (-7498.936) (-7507.736) -- 0:23:22
44000 -- (-7531.242) [-7501.043] (-7507.539) (-7502.674) * [-7499.984] (-7510.806) (-7501.525) (-7503.155) -- 0:23:32
45000 -- (-7524.375) (-7507.285) [-7505.073] (-7513.345) * (-7499.171) (-7509.174) (-7509.128) [-7493.892] -- 0:23:20
Average standard deviation of split frequencies: 0.025154
46000 -- (-7496.862) [-7500.806] (-7516.718) (-7490.856) * [-7504.305] (-7504.269) (-7528.089) (-7498.203) -- 0:23:30
47000 -- [-7507.886] (-7499.238) (-7517.944) (-7506.941) * (-7509.479) (-7502.611) (-7514.276) [-7491.352] -- 0:23:19
48000 -- (-7494.249) (-7505.892) [-7495.405] (-7514.173) * (-7501.547) (-7511.552) (-7504.471) [-7484.393] -- 0:23:28
49000 -- [-7496.412] (-7518.468) (-7503.970) (-7511.770) * (-7513.586) (-7506.428) [-7490.012] (-7511.653) -- 0:23:17
50000 -- (-7502.924) (-7542.389) (-7506.641) [-7507.621] * (-7507.967) (-7505.201) [-7492.509] (-7512.059) -- 0:23:26
Average standard deviation of split frequencies: 0.020934
51000 -- (-7513.774) (-7546.713) [-7502.856] (-7496.897) * (-7510.824) (-7511.447) [-7505.550] (-7502.266) -- 0:23:15
52000 -- (-7497.915) (-7529.838) [-7494.545] (-7507.306) * [-7496.971] (-7503.221) (-7521.518) (-7509.431) -- 0:23:23
53000 -- [-7488.299] (-7528.571) (-7531.476) (-7521.430) * (-7506.977) (-7515.690) (-7500.916) [-7506.232] -- 0:23:13
54000 -- [-7513.129] (-7502.262) (-7513.783) (-7506.685) * (-7509.163) (-7497.517) (-7502.537) [-7497.024] -- 0:23:21
55000 -- [-7492.967] (-7491.890) (-7519.562) (-7509.789) * (-7538.036) (-7503.860) [-7497.638] (-7507.807) -- 0:23:11
Average standard deviation of split frequencies: 0.022351
56000 -- (-7507.252) [-7488.679] (-7506.618) (-7507.762) * (-7504.471) (-7502.927) [-7500.786] (-7510.819) -- 0:23:19
57000 -- (-7500.486) [-7491.060] (-7516.453) (-7530.323) * (-7517.811) [-7491.247] (-7504.198) (-7491.456) -- 0:23:09
58000 -- (-7496.886) [-7496.397] (-7517.873) (-7521.566) * (-7515.996) (-7493.443) [-7513.226] (-7505.195) -- 0:23:16
59000 -- [-7500.094] (-7508.238) (-7502.970) (-7495.258) * (-7503.865) [-7481.229] (-7522.372) (-7490.253) -- 0:23:07
60000 -- (-7511.430) (-7512.273) [-7494.808] (-7501.944) * [-7483.851] (-7507.651) (-7515.600) (-7501.910) -- 0:23:14
Average standard deviation of split frequencies: 0.018419
61000 -- (-7521.424) (-7510.412) [-7488.728] (-7503.644) * (-7504.226) (-7513.164) [-7503.887] (-7510.220) -- 0:23:05
62000 -- (-7502.543) (-7505.366) [-7493.010] (-7498.812) * (-7502.563) [-7499.399] (-7513.792) (-7510.522) -- 0:23:11
63000 -- (-7491.882) (-7511.471) [-7491.418] (-7512.727) * (-7520.373) [-7494.348] (-7514.473) (-7499.369) -- 0:23:03
64000 -- (-7505.429) (-7514.377) [-7488.971] (-7507.850) * (-7514.376) [-7500.858] (-7515.673) (-7508.846) -- 0:22:54
65000 -- (-7501.536) [-7496.927] (-7501.348) (-7507.923) * (-7496.471) (-7486.828) [-7494.830] (-7502.100) -- 0:23:00
Average standard deviation of split frequencies: 0.020088
66000 -- (-7493.600) [-7496.493] (-7511.577) (-7516.481) * (-7522.829) (-7508.422) [-7486.567] (-7526.295) -- 0:22:52
67000 -- (-7505.865) [-7513.211] (-7513.802) (-7500.413) * (-7521.108) (-7497.541) [-7486.500] (-7518.910) -- 0:22:58
68000 -- (-7507.902) (-7511.779) (-7488.635) [-7495.908] * (-7509.986) (-7490.348) [-7499.449] (-7537.082) -- 0:22:50
69000 -- (-7504.149) (-7495.668) [-7491.440] (-7501.314) * [-7496.025] (-7507.885) (-7501.042) (-7504.873) -- 0:22:56
70000 -- [-7501.143] (-7501.214) (-7509.235) (-7504.273) * (-7508.030) (-7516.610) (-7501.339) [-7497.063] -- 0:22:48
Average standard deviation of split frequencies: 0.019790
71000 -- (-7515.413) (-7499.445) [-7485.096] (-7509.297) * (-7517.482) (-7506.901) [-7502.941] (-7510.647) -- 0:22:53
72000 -- (-7511.390) (-7490.132) [-7490.797] (-7506.796) * [-7492.156] (-7502.812) (-7512.363) (-7511.472) -- 0:22:46
73000 -- (-7509.157) [-7489.720] (-7492.858) (-7502.069) * (-7512.015) [-7493.086] (-7513.561) (-7502.164) -- 0:22:51
74000 -- (-7506.482) (-7500.473) [-7491.166] (-7507.046) * (-7513.561) [-7496.785] (-7531.896) (-7498.844) -- 0:22:43
75000 -- (-7502.190) (-7497.707) [-7489.637] (-7509.417) * (-7502.696) (-7495.001) (-7502.578) [-7504.071] -- 0:22:36
Average standard deviation of split frequencies: 0.015950
76000 -- (-7500.526) (-7505.514) [-7496.532] (-7505.623) * (-7503.806) (-7499.855) (-7498.282) [-7483.222] -- 0:22:41
77000 -- (-7525.038) (-7510.353) (-7507.088) [-7497.463] * (-7506.921) (-7501.669) (-7494.448) [-7495.618] -- 0:22:34
78000 -- (-7502.509) (-7505.263) (-7511.937) [-7508.308] * (-7503.056) [-7489.103] (-7513.551) (-7503.016) -- 0:22:39
79000 -- (-7528.538) (-7503.960) [-7492.437] (-7489.633) * [-7501.387] (-7503.453) (-7527.758) (-7497.016) -- 0:22:32
80000 -- (-7513.304) [-7504.369] (-7489.188) (-7504.812) * [-7488.909] (-7504.900) (-7507.141) (-7498.108) -- 0:22:37
Average standard deviation of split frequencies: 0.018366
81000 -- (-7514.173) [-7501.856] (-7495.798) (-7519.741) * [-7497.860] (-7510.324) (-7503.773) (-7499.191) -- 0:22:30
82000 -- (-7506.483) [-7496.763] (-7500.488) (-7510.828) * [-7502.043] (-7512.909) (-7493.865) (-7523.647) -- 0:22:34
83000 -- (-7547.991) [-7501.079] (-7495.179) (-7504.834) * [-7490.974] (-7519.554) (-7500.975) (-7510.625) -- 0:22:27
84000 -- (-7506.482) [-7500.868] (-7500.532) (-7515.063) * (-7500.372) (-7508.827) [-7502.508] (-7509.292) -- 0:22:32
85000 -- [-7502.684] (-7502.406) (-7509.724) (-7502.636) * [-7496.126] (-7516.301) (-7516.483) (-7496.920) -- 0:22:25
Average standard deviation of split frequencies: 0.019733
86000 -- (-7493.418) [-7489.350] (-7524.434) (-7506.527) * [-7485.270] (-7502.408) (-7511.318) (-7502.586) -- 0:22:29
87000 -- (-7506.704) (-7508.882) [-7506.493] (-7501.919) * (-7508.581) (-7497.005) [-7491.069] (-7508.648) -- 0:22:23
88000 -- (-7511.690) (-7506.283) [-7484.850] (-7507.390) * (-7516.841) [-7494.047] (-7508.527) (-7510.574) -- 0:22:27
89000 -- (-7518.210) (-7496.232) [-7502.029] (-7509.626) * (-7490.259) [-7501.854] (-7523.103) (-7497.292) -- 0:22:20
90000 -- (-7504.814) [-7507.319] (-7509.778) (-7517.765) * [-7492.010] (-7500.201) (-7515.563) (-7512.173) -- 0:22:14
Average standard deviation of split frequencies: 0.017798
91000 -- (-7509.498) (-7510.356) (-7497.611) [-7515.531] * (-7505.142) (-7509.037) [-7496.023] (-7497.291) -- 0:22:18
92000 -- (-7518.495) [-7502.755] (-7509.494) (-7498.347) * (-7495.705) (-7520.349) [-7494.091] (-7514.831) -- 0:22:12
93000 -- (-7496.732) (-7513.910) (-7495.241) [-7496.053] * (-7508.491) (-7489.621) [-7501.080] (-7523.693) -- 0:22:16
94000 -- (-7512.804) (-7531.233) (-7502.913) [-7504.066] * (-7500.863) (-7494.390) [-7506.335] (-7524.534) -- 0:22:10
95000 -- (-7506.009) (-7506.772) [-7489.494] (-7518.451) * (-7504.580) (-7509.899) [-7502.661] (-7518.717) -- 0:22:13
Average standard deviation of split frequencies: 0.014322
96000 -- (-7500.501) (-7512.287) [-7499.517] (-7511.710) * [-7494.990] (-7511.604) (-7513.725) (-7508.144) -- 0:22:17
97000 -- (-7510.304) [-7499.397] (-7500.332) (-7499.363) * (-7507.697) (-7525.057) (-7506.681) [-7501.290] -- 0:22:11
98000 -- [-7492.328] (-7506.561) (-7487.909) (-7516.068) * [-7515.041] (-7506.893) (-7507.450) (-7508.517) -- 0:22:14
99000 -- (-7517.449) (-7505.438) (-7498.753) [-7496.826] * [-7497.188] (-7506.759) (-7503.151) (-7505.380) -- 0:22:08
100000 -- (-7504.580) [-7496.742] (-7500.632) (-7494.854) * (-7490.354) (-7512.745) (-7504.455) [-7509.603] -- 0:22:03
Average standard deviation of split frequencies: 0.014456
101000 -- (-7512.000) (-7484.896) [-7499.031] (-7507.656) * (-7498.262) (-7505.163) [-7497.681] (-7511.396) -- 0:22:06
102000 -- (-7509.639) [-7486.637] (-7521.590) (-7497.925) * (-7507.844) (-7498.023) (-7504.195) [-7498.259] -- 0:22:00
103000 -- (-7520.123) (-7486.766) [-7510.820] (-7500.212) * (-7494.479) [-7504.359] (-7512.165) (-7499.134) -- 0:22:03
104000 -- (-7512.336) (-7496.508) (-7509.549) [-7493.030] * (-7498.079) (-7519.325) (-7510.504) [-7492.143] -- 0:21:58
105000 -- (-7527.848) [-7511.500] (-7511.549) (-7505.169) * [-7489.959] (-7500.201) (-7504.765) (-7499.041) -- 0:22:01
Average standard deviation of split frequencies: 0.011408
106000 -- (-7509.510) (-7497.291) [-7496.489] (-7504.051) * (-7514.503) (-7495.346) (-7500.716) [-7492.264] -- 0:21:55
107000 -- (-7507.331) [-7493.533] (-7491.512) (-7516.122) * (-7510.683) (-7516.522) [-7491.390] (-7511.671) -- 0:21:58
108000 -- (-7500.767) [-7503.847] (-7501.358) (-7507.939) * (-7499.967) (-7507.611) [-7493.219] (-7503.066) -- 0:21:53
109000 -- (-7491.029) [-7483.794] (-7514.705) (-7503.154) * [-7493.995] (-7515.417) (-7496.908) (-7498.479) -- 0:21:56
110000 -- (-7508.367) [-7498.631] (-7512.636) (-7509.809) * (-7490.467) (-7505.157) (-7501.469) [-7494.458] -- 0:21:50
Average standard deviation of split frequencies: 0.011537
111000 -- [-7487.919] (-7496.007) (-7516.341) (-7519.154) * (-7490.971) (-7494.176) (-7515.550) [-7492.780] -- 0:21:53
112000 -- (-7509.619) [-7499.011] (-7517.177) (-7503.351) * (-7488.227) [-7497.301] (-7525.144) (-7499.450) -- 0:21:48
113000 -- (-7490.254) [-7491.138] (-7506.822) (-7518.779) * [-7484.802] (-7511.932) (-7502.934) (-7488.370) -- 0:21:43
114000 -- [-7496.461] (-7487.459) (-7528.464) (-7525.774) * (-7497.462) (-7516.519) [-7491.346] (-7498.580) -- 0:21:45
115000 -- (-7511.135) (-7507.547) [-7508.111] (-7525.716) * [-7506.867] (-7514.306) (-7502.428) (-7487.149) -- 0:21:40
Average standard deviation of split frequencies: 0.010955
116000 -- (-7503.068) [-7482.639] (-7506.097) (-7519.123) * [-7496.630] (-7490.664) (-7502.335) (-7498.900) -- 0:21:43
117000 -- [-7496.808] (-7498.364) (-7506.431) (-7517.087) * [-7491.890] (-7519.123) (-7508.918) (-7496.890) -- 0:21:38
118000 -- (-7520.246) (-7502.880) [-7515.753] (-7495.745) * (-7491.143) (-7508.821) (-7509.018) [-7494.821] -- 0:21:40
119000 -- [-7498.950] (-7501.244) (-7503.020) (-7504.140) * (-7485.764) (-7495.876) [-7500.317] (-7508.484) -- 0:21:35
120000 -- (-7505.302) [-7487.889] (-7503.768) (-7511.994) * (-7488.738) (-7491.372) [-7494.282] (-7498.355) -- 0:21:38
Average standard deviation of split frequencies: 0.011041
121000 -- (-7508.992) (-7506.148) [-7494.039] (-7510.714) * [-7495.325] (-7500.034) (-7486.187) (-7524.218) -- 0:21:33
122000 -- (-7503.209) [-7499.832] (-7509.757) (-7504.208) * (-7513.369) [-7501.071] (-7502.808) (-7502.789) -- 0:21:28
123000 -- (-7508.243) [-7505.015] (-7509.520) (-7499.377) * (-7503.431) (-7501.802) [-7509.757] (-7504.575) -- 0:21:30
124000 -- [-7503.324] (-7496.792) (-7502.595) (-7510.613) * (-7487.736) (-7506.268) (-7500.544) [-7499.309] -- 0:21:25
125000 -- (-7510.544) (-7492.019) (-7502.548) [-7484.695] * (-7495.275) [-7493.907] (-7500.924) (-7513.843) -- 0:21:28
Average standard deviation of split frequencies: 0.011875
126000 -- (-7511.693) (-7499.596) (-7500.159) [-7488.366] * [-7495.533] (-7501.979) (-7490.605) (-7508.474) -- 0:21:23
127000 -- (-7518.550) (-7495.018) (-7494.500) [-7490.509] * (-7491.338) (-7490.505) [-7493.239] (-7512.449) -- 0:21:25
128000 -- (-7498.109) (-7485.636) [-7485.852] (-7502.172) * [-7493.829] (-7492.605) (-7505.382) (-7506.091) -- 0:21:20
129000 -- (-7505.748) (-7498.645) [-7493.301] (-7502.714) * (-7499.130) [-7494.549] (-7506.179) (-7505.247) -- 0:21:22
130000 -- (-7523.995) (-7509.898) (-7496.358) [-7491.284] * (-7515.316) (-7500.581) (-7504.755) [-7498.143] -- 0:21:18
Average standard deviation of split frequencies: 0.011479
131000 -- (-7507.333) (-7498.546) (-7507.661) [-7492.083] * [-7499.445] (-7502.009) (-7513.329) (-7511.027) -- 0:21:20
132000 -- (-7513.277) (-7505.620) (-7505.966) [-7495.281] * (-7506.550) (-7502.428) [-7490.576] (-7504.568) -- 0:21:15
133000 -- (-7504.907) (-7488.513) (-7523.221) [-7501.977] * (-7500.313) [-7501.344] (-7501.115) (-7494.559) -- 0:21:17
134000 -- (-7494.947) [-7492.272] (-7508.554) (-7502.802) * [-7506.248] (-7515.227) (-7509.968) (-7497.227) -- 0:21:13
135000 -- (-7503.388) [-7495.219] (-7495.806) (-7510.095) * (-7512.449) (-7491.092) (-7502.446) [-7496.303] -- 0:21:15
Average standard deviation of split frequencies: 0.010714
136000 -- (-7506.905) [-7499.781] (-7508.153) (-7512.064) * [-7490.083] (-7493.698) (-7500.478) (-7518.302) -- 0:21:10
137000 -- (-7494.781) (-7507.953) (-7503.777) [-7500.684] * (-7502.445) (-7489.607) [-7485.410] (-7504.879) -- 0:21:12
138000 -- [-7493.312] (-7505.599) (-7513.196) (-7521.494) * (-7515.507) (-7512.516) [-7499.906] (-7502.812) -- 0:21:08
139000 -- (-7493.510) (-7511.451) [-7509.147] (-7517.576) * (-7501.403) (-7496.610) (-7499.063) [-7497.051] -- 0:21:09
140000 -- (-7485.255) (-7513.227) (-7496.848) [-7495.671] * [-7501.795] (-7506.033) (-7511.954) (-7503.294) -- 0:21:05
Average standard deviation of split frequencies: 0.009749
141000 -- (-7492.642) (-7531.055) [-7490.119] (-7492.210) * (-7495.673) (-7501.022) (-7502.507) [-7492.645] -- 0:21:07
142000 -- (-7509.326) (-7524.527) (-7502.403) [-7511.765] * (-7515.014) [-7500.181] (-7487.209) (-7508.411) -- 0:21:02
143000 -- (-7519.936) (-7514.031) (-7489.266) [-7505.940] * (-7500.387) (-7508.686) (-7513.128) [-7491.841] -- 0:21:04
144000 -- (-7514.972) (-7494.292) [-7489.739] (-7522.309) * (-7492.551) (-7503.756) (-7501.333) [-7490.245] -- 0:21:00
145000 -- [-7501.700] (-7495.582) (-7506.519) (-7519.714) * (-7519.654) [-7492.608] (-7499.134) (-7495.519) -- 0:21:01
Average standard deviation of split frequencies: 0.010127
146000 -- [-7505.567] (-7501.602) (-7512.278) (-7518.999) * (-7509.351) (-7495.157) (-7502.575) [-7495.910] -- 0:20:57
147000 -- [-7490.364] (-7502.397) (-7510.941) (-7496.454) * (-7513.526) [-7498.571] (-7501.837) (-7495.030) -- 0:20:59
148000 -- (-7507.197) [-7504.919] (-7511.840) (-7524.299) * (-7508.763) (-7502.304) (-7508.817) [-7501.353] -- 0:20:54
149000 -- (-7503.777) [-7485.812] (-7526.935) (-7507.194) * (-7498.070) (-7510.386) [-7496.281] (-7502.680) -- 0:20:56
150000 -- [-7489.064] (-7513.418) (-7504.283) (-7507.347) * (-7503.494) [-7508.732] (-7517.954) (-7493.813) -- 0:20:52
Average standard deviation of split frequencies: 0.008675
151000 -- [-7505.969] (-7500.175) (-7512.506) (-7498.585) * (-7512.560) [-7488.253] (-7504.291) (-7509.299) -- 0:20:53
152000 -- [-7497.843] (-7495.589) (-7507.372) (-7507.353) * (-7498.205) (-7489.905) [-7489.331] (-7530.689) -- 0:20:55
153000 -- [-7483.394] (-7499.378) (-7499.444) (-7502.476) * (-7509.357) [-7488.495] (-7497.488) (-7502.721) -- 0:20:51
154000 -- (-7495.535) (-7520.698) (-7498.438) [-7493.653] * (-7507.112) (-7514.642) [-7497.331] (-7513.522) -- 0:20:52
155000 -- (-7501.347) (-7525.323) (-7513.784) [-7500.176] * [-7502.966] (-7509.535) (-7509.613) (-7526.012) -- 0:20:48
Average standard deviation of split frequencies: 0.007692
156000 -- (-7503.822) [-7500.153] (-7503.660) (-7505.069) * (-7508.430) (-7500.291) [-7492.389] (-7530.513) -- 0:20:49
157000 -- [-7498.051] (-7528.204) (-7499.816) (-7505.161) * (-7521.526) [-7488.281] (-7502.283) (-7511.740) -- 0:20:45
158000 -- (-7498.814) (-7497.977) [-7493.264] (-7507.897) * (-7502.390) (-7502.767) [-7492.808] (-7510.188) -- 0:20:47
159000 -- [-7493.212] (-7500.313) (-7494.767) (-7510.752) * (-7508.038) (-7501.678) (-7501.324) [-7500.133] -- 0:20:42
160000 -- (-7494.216) [-7490.112] (-7517.449) (-7508.857) * (-7502.769) (-7494.541) (-7496.444) [-7495.902] -- 0:20:44
Average standard deviation of split frequencies: 0.007068
161000 -- [-7497.825] (-7491.180) (-7517.258) (-7531.322) * (-7517.536) (-7490.419) [-7501.091] (-7500.906) -- 0:20:40
162000 -- (-7494.629) [-7492.521] (-7512.064) (-7524.229) * (-7507.755) [-7498.975] (-7500.588) (-7509.766) -- 0:20:41
163000 -- [-7483.662] (-7498.170) (-7509.729) (-7500.484) * (-7496.209) [-7489.787] (-7504.696) (-7528.826) -- 0:20:37
164000 -- (-7492.808) [-7497.843] (-7513.349) (-7498.601) * (-7498.354) [-7491.735] (-7500.687) (-7512.710) -- 0:20:38
165000 -- (-7514.912) [-7482.735] (-7516.895) (-7507.466) * (-7506.103) (-7495.620) [-7497.082] (-7502.638) -- 0:20:34
Average standard deviation of split frequencies: 0.006325
166000 -- (-7510.422) (-7494.712) (-7510.944) [-7486.034] * (-7500.300) (-7503.779) [-7497.017] (-7499.242) -- 0:20:35
167000 -- (-7500.428) (-7512.879) [-7485.766] (-7511.918) * (-7516.795) (-7510.106) (-7492.394) [-7490.715] -- 0:20:32
168000 -- (-7504.227) (-7494.444) [-7496.384] (-7503.344) * (-7515.499) (-7501.848) (-7495.428) [-7498.191] -- 0:20:33
169000 -- (-7512.352) [-7491.984] (-7522.971) (-7501.648) * (-7505.881) [-7508.055] (-7493.476) (-7508.544) -- 0:20:29
170000 -- (-7506.093) [-7507.579] (-7499.682) (-7497.310) * (-7498.005) (-7508.322) [-7498.219] (-7513.496) -- 0:20:30
Average standard deviation of split frequencies: 0.005399
171000 -- [-7485.193] (-7513.556) (-7496.664) (-7509.882) * [-7490.914] (-7499.851) (-7495.254) (-7514.616) -- 0:20:26
172000 -- (-7493.784) (-7511.697) [-7489.865] (-7501.779) * [-7495.371] (-7488.508) (-7499.629) (-7491.520) -- 0:20:27
173000 -- (-7517.937) (-7504.239) [-7506.157] (-7502.254) * (-7498.899) [-7484.244] (-7500.627) (-7517.269) -- 0:20:23
174000 -- [-7523.332] (-7517.200) (-7508.486) (-7505.244) * (-7508.477) (-7522.912) [-7496.655] (-7507.896) -- 0:20:24
175000 -- (-7494.537) (-7512.718) [-7505.931] (-7511.903) * (-7507.507) (-7503.444) (-7489.984) [-7500.161] -- 0:20:21
Average standard deviation of split frequencies: 0.004992
176000 -- [-7494.249] (-7522.715) (-7519.334) (-7502.326) * (-7523.968) (-7501.767) [-7487.361] (-7511.968) -- 0:20:21
177000 -- (-7496.413) (-7510.652) (-7523.940) [-7498.219] * (-7506.379) (-7519.302) [-7494.394] (-7499.024) -- 0:20:18
178000 -- (-7489.234) [-7487.432] (-7512.161) (-7496.924) * (-7503.836) (-7525.350) (-7505.107) [-7481.865] -- 0:20:14
179000 -- [-7502.518] (-7511.956) (-7528.987) (-7502.405) * [-7497.972] (-7517.520) (-7504.958) (-7493.107) -- 0:20:15
180000 -- (-7507.654) [-7491.508] (-7521.161) (-7493.987) * (-7510.527) (-7529.860) (-7494.963) [-7492.005] -- 0:20:11
Average standard deviation of split frequencies: 0.005337
181000 -- (-7521.474) [-7501.475] (-7494.393) (-7491.396) * (-7505.429) (-7502.564) (-7507.848) [-7496.091] -- 0:20:12
182000 -- (-7520.006) (-7506.179) [-7496.225] (-7508.333) * (-7507.706) (-7496.861) [-7489.222] (-7506.269) -- 0:20:09
183000 -- (-7527.469) (-7502.364) [-7489.393] (-7497.260) * (-7510.449) (-7496.236) [-7500.241] (-7494.523) -- 0:20:09
184000 -- (-7507.007) (-7488.842) (-7487.861) [-7506.144] * (-7512.277) (-7504.411) [-7494.443] (-7499.974) -- 0:20:06
185000 -- (-7499.176) (-7498.064) (-7506.959) [-7498.668] * (-7502.533) (-7509.867) (-7486.525) [-7491.173] -- 0:20:07
Average standard deviation of split frequencies: 0.005299
186000 -- (-7497.794) [-7494.767] (-7502.572) (-7510.903) * (-7511.645) (-7513.491) [-7500.482] (-7505.875) -- 0:20:03
187000 -- (-7515.029) (-7496.243) [-7484.364] (-7511.674) * (-7503.389) (-7508.032) [-7514.667] (-7492.480) -- 0:19:59
188000 -- (-7522.235) (-7495.960) (-7491.866) [-7498.988] * (-7519.498) (-7513.174) (-7517.715) [-7491.939] -- 0:20:00
189000 -- (-7515.346) [-7497.857] (-7492.732) (-7493.308) * (-7502.415) (-7517.152) (-7516.756) [-7490.432] -- 0:19:57
190000 -- (-7530.758) (-7518.004) (-7497.393) [-7488.295] * [-7494.682] (-7501.556) (-7509.451) (-7504.983) -- 0:19:57
Average standard deviation of split frequencies: 0.004832
191000 -- (-7521.234) (-7514.940) [-7501.209] (-7490.394) * (-7490.310) [-7489.689] (-7509.032) (-7509.342) -- 0:19:54
192000 -- (-7516.817) (-7492.382) (-7520.099) [-7497.330] * (-7506.878) [-7503.825] (-7502.851) (-7501.594) -- 0:19:55
193000 -- (-7508.422) (-7503.265) (-7524.286) [-7490.966] * (-7500.943) (-7511.580) (-7494.214) [-7497.016] -- 0:19:51
194000 -- (-7504.818) [-7488.491] (-7498.642) (-7505.772) * (-7497.823) (-7520.937) (-7522.229) [-7486.608] -- 0:19:52
195000 -- (-7512.986) (-7514.830) [-7506.172] (-7511.942) * (-7493.629) [-7495.712] (-7499.830) (-7514.393) -- 0:19:48
Average standard deviation of split frequencies: 0.005138
196000 -- (-7502.881) (-7518.113) (-7506.101) [-7505.036] * (-7505.549) [-7495.104] (-7512.211) (-7505.803) -- 0:19:45
197000 -- [-7499.828] (-7507.447) (-7504.913) (-7503.025) * [-7488.621] (-7518.023) (-7513.170) (-7509.110) -- 0:19:46
198000 -- [-7493.203] (-7502.776) (-7513.004) (-7499.220) * [-7489.240] (-7494.619) (-7507.772) (-7502.926) -- 0:19:42
199000 -- (-7504.744) (-7514.156) (-7512.180) [-7486.947] * (-7511.882) [-7497.875] (-7502.020) (-7512.342) -- 0:19:43
200000 -- (-7502.548) (-7506.587) (-7491.048) [-7497.552] * (-7496.267) (-7510.904) (-7516.033) [-7495.779] -- 0:19:40
Average standard deviation of split frequencies: 0.006087
201000 -- [-7490.216] (-7518.461) (-7496.875) (-7506.081) * (-7504.425) (-7494.192) (-7497.225) [-7508.800] -- 0:19:40
202000 -- (-7510.528) [-7494.865] (-7501.810) (-7502.223) * (-7525.852) (-7509.755) [-7489.375] (-7496.007) -- 0:19:37
203000 -- (-7511.799) [-7502.985] (-7502.776) (-7518.254) * [-7516.469] (-7505.015) (-7495.945) (-7501.843) -- 0:19:37
204000 -- (-7514.637) (-7493.788) [-7506.737] (-7514.327) * (-7504.097) (-7502.143) [-7493.924] (-7501.474) -- 0:19:34
205000 -- [-7504.424] (-7512.079) (-7517.536) (-7510.063) * [-7491.843] (-7507.415) (-7504.986) (-7528.305) -- 0:19:35
Average standard deviation of split frequencies: 0.005825
206000 -- (-7504.209) (-7504.520) (-7515.261) [-7508.133] * (-7494.913) [-7484.842] (-7504.711) (-7513.209) -- 0:19:31
207000 -- (-7504.272) (-7493.615) (-7515.494) [-7501.915] * (-7491.396) [-7499.878] (-7549.657) (-7506.250) -- 0:19:28
208000 -- (-7494.317) [-7494.120] (-7514.196) (-7499.056) * (-7514.277) (-7493.344) (-7504.049) [-7487.912] -- 0:19:28
209000 -- (-7508.264) (-7500.520) [-7496.584] (-7507.403) * (-7503.043) (-7509.087) [-7494.020] (-7495.051) -- 0:19:25
210000 -- (-7511.148) [-7505.366] (-7495.396) (-7521.149) * (-7502.759) (-7517.586) [-7487.533] (-7491.511) -- 0:19:26
Average standard deviation of split frequencies: 0.005594
211000 -- [-7505.245] (-7509.894) (-7508.480) (-7509.148) * (-7508.190) [-7503.577] (-7517.093) (-7507.658) -- 0:19:22
212000 -- (-7513.727) (-7508.078) [-7498.243] (-7528.767) * [-7493.194] (-7514.993) (-7509.339) (-7509.670) -- 0:19:19
213000 -- (-7523.237) (-7514.802) [-7503.407] (-7504.336) * (-7505.274) (-7508.476) (-7511.955) [-7495.025] -- 0:19:20
214000 -- (-7518.589) [-7496.402] (-7494.556) (-7509.647) * (-7498.270) (-7510.086) [-7495.713] (-7493.662) -- 0:19:16
215000 -- (-7509.920) (-7507.322) (-7506.416) [-7491.720] * (-7507.210) (-7496.012) (-7495.858) [-7493.323] -- 0:19:17
Average standard deviation of split frequencies: 0.006358
216000 -- (-7498.303) [-7497.941] (-7516.886) (-7505.947) * (-7521.373) (-7509.571) [-7502.539] (-7486.652) -- 0:19:14
217000 -- (-7537.153) (-7491.814) (-7518.450) [-7493.947] * (-7526.939) (-7487.223) (-7498.138) [-7493.040] -- 0:19:14
218000 -- (-7530.958) (-7521.926) (-7529.380) [-7505.558] * (-7515.773) (-7496.843) (-7496.620) [-7509.049] -- 0:19:11
219000 -- (-7515.852) (-7508.093) [-7500.532] (-7494.568) * (-7509.944) (-7489.970) (-7510.552) [-7499.190] -- 0:19:08
220000 -- (-7513.588) (-7508.456) [-7501.050] (-7495.580) * (-7494.233) [-7498.450] (-7509.827) (-7498.193) -- 0:19:08
Average standard deviation of split frequencies: 0.004661
221000 -- (-7498.670) (-7491.844) [-7483.030] (-7492.926) * (-7506.346) [-7491.520] (-7509.113) (-7507.016) -- 0:19:05
222000 -- (-7518.697) (-7507.420) [-7491.197] (-7502.710) * (-7501.195) (-7489.442) (-7535.904) [-7501.659] -- 0:19:05
223000 -- [-7497.037] (-7510.029) (-7501.058) (-7498.779) * (-7503.596) (-7502.841) (-7507.108) [-7497.024] -- 0:19:02
224000 -- (-7522.430) (-7517.733) [-7497.417] (-7503.389) * (-7500.589) [-7499.807] (-7503.731) (-7491.453) -- 0:19:03
225000 -- (-7510.922) (-7506.833) (-7531.421) [-7493.176] * (-7509.623) [-7506.175] (-7529.989) (-7503.753) -- 0:19:00
Average standard deviation of split frequencies: 0.004361
226000 -- (-7494.086) [-7500.532] (-7504.341) (-7515.918) * (-7502.020) [-7511.319] (-7515.077) (-7511.826) -- 0:19:00
227000 -- (-7507.586) (-7519.665) [-7494.020] (-7494.447) * (-7492.955) [-7506.037] (-7521.004) (-7495.746) -- 0:18:57
228000 -- [-7491.176] (-7506.612) (-7507.846) (-7490.242) * [-7493.609] (-7523.106) (-7510.418) (-7499.021) -- 0:18:54
229000 -- [-7486.577] (-7524.800) (-7497.119) (-7500.731) * (-7491.890) (-7508.284) (-7514.789) [-7495.457] -- 0:18:54
230000 -- (-7517.894) (-7515.690) [-7505.685] (-7500.404) * (-7507.239) (-7509.187) (-7499.908) [-7495.267] -- 0:18:51
Average standard deviation of split frequencies: 0.004552
231000 -- (-7505.884) (-7505.750) (-7508.498) [-7503.747] * (-7504.644) (-7502.790) [-7495.842] (-7510.138) -- 0:18:51
232000 -- (-7508.419) (-7515.051) (-7502.104) [-7496.307] * (-7512.378) (-7504.096) (-7514.350) [-7502.200] -- 0:18:48
233000 -- (-7515.565) [-7495.222] (-7490.460) (-7510.765) * (-7509.505) (-7503.810) [-7497.973] (-7530.542) -- 0:18:45
234000 -- (-7517.704) (-7499.334) [-7483.291] (-7502.508) * (-7507.614) (-7496.543) [-7493.589] (-7512.906) -- 0:18:46
235000 -- (-7508.412) (-7505.507) [-7488.456] (-7501.670) * (-7507.898) (-7490.565) (-7500.152) [-7498.658] -- 0:18:43
Average standard deviation of split frequencies: 0.004721
236000 -- (-7508.311) (-7512.526) [-7494.711] (-7505.375) * (-7507.237) (-7506.807) [-7505.158] (-7499.341) -- 0:18:43
237000 -- (-7520.151) (-7511.432) (-7509.728) [-7503.478] * (-7517.358) (-7508.705) [-7510.609] (-7508.480) -- 0:18:40
238000 -- (-7509.018) [-7489.279] (-7505.739) (-7500.366) * (-7523.374) (-7504.534) (-7520.321) [-7498.914] -- 0:18:40
239000 -- (-7505.721) [-7494.555] (-7512.921) (-7494.142) * (-7502.032) (-7506.569) (-7511.184) [-7489.038] -- 0:18:37
240000 -- (-7514.767) (-7503.168) (-7517.047) [-7499.531] * (-7503.066) [-7501.765] (-7524.947) (-7506.758) -- 0:18:34
Average standard deviation of split frequencies: 0.004630
241000 -- (-7512.169) (-7501.088) [-7503.321] (-7497.736) * (-7483.150) [-7485.246] (-7505.785) (-7505.651) -- 0:18:34
242000 -- (-7504.804) (-7513.990) [-7500.042] (-7505.894) * (-7493.883) [-7494.232] (-7493.091) (-7515.403) -- 0:18:31
243000 -- (-7501.419) (-7501.897) (-7508.529) [-7497.240] * [-7494.936] (-7507.928) (-7514.775) (-7508.478) -- 0:18:32
244000 -- (-7512.001) (-7509.467) (-7518.420) [-7496.169] * [-7504.007] (-7497.701) (-7498.131) (-7509.630) -- 0:18:29
245000 -- (-7498.739) (-7516.813) [-7505.423] (-7499.146) * (-7511.524) (-7506.847) [-7479.317] (-7498.181) -- 0:18:29
Average standard deviation of split frequencies: 0.005749
246000 -- (-7500.176) [-7506.370] (-7509.265) (-7506.371) * (-7492.501) (-7513.552) [-7496.131] (-7500.437) -- 0:18:26
247000 -- [-7493.543] (-7507.345) (-7529.308) (-7512.019) * (-7515.040) (-7498.330) [-7500.363] (-7504.023) -- 0:18:26
248000 -- (-7493.414) [-7498.337] (-7508.172) (-7529.844) * (-7496.156) [-7482.562] (-7501.265) (-7494.197) -- 0:18:23
249000 -- [-7492.219] (-7512.195) (-7522.202) (-7511.197) * [-7501.177] (-7490.624) (-7508.662) (-7518.238) -- 0:18:20
250000 -- (-7487.376) (-7508.450) (-7506.256) [-7500.738] * [-7506.398] (-7510.655) (-7499.492) (-7520.789) -- 0:18:21
Average standard deviation of split frequencies: 0.005385
251000 -- [-7498.709] (-7508.706) (-7518.046) (-7504.315) * (-7504.731) (-7499.221) [-7492.114] (-7508.236) -- 0:18:18
252000 -- (-7497.168) (-7505.880) (-7526.604) [-7514.826] * [-7498.845] (-7502.245) (-7497.690) (-7500.535) -- 0:18:18
253000 -- (-7497.720) [-7501.664] (-7508.116) (-7500.486) * (-7498.874) [-7498.757] (-7498.337) (-7521.442) -- 0:18:15
254000 -- (-7512.861) [-7488.153] (-7497.631) (-7523.007) * (-7494.434) (-7520.613) (-7497.670) [-7494.335] -- 0:18:15
255000 -- (-7510.683) (-7495.622) [-7493.363] (-7517.791) * [-7490.906] (-7511.769) (-7502.905) (-7503.872) -- 0:18:12
Average standard deviation of split frequencies: 0.005524
256000 -- (-7518.927) [-7503.462] (-7495.143) (-7490.858) * (-7504.319) (-7512.529) [-7504.539] (-7496.864) -- 0:18:09
257000 -- (-7503.095) [-7492.285] (-7507.626) (-7510.119) * (-7507.905) [-7513.011] (-7504.514) (-7503.182) -- 0:18:09
258000 -- (-7512.830) [-7498.211] (-7512.606) (-7505.219) * (-7498.126) [-7505.297] (-7517.909) (-7502.752) -- 0:18:07
259000 -- (-7498.815) (-7508.756) (-7504.650) [-7498.539] * (-7511.079) (-7497.133) (-7507.625) [-7495.767] -- 0:18:07
260000 -- (-7493.619) (-7499.986) (-7516.482) [-7502.223] * (-7503.989) (-7489.107) [-7501.504] (-7513.794) -- 0:18:04
Average standard deviation of split frequencies: 0.005590
261000 -- [-7494.563] (-7501.220) (-7526.476) (-7508.667) * (-7504.115) [-7502.742] (-7511.370) (-7499.174) -- 0:18:04
262000 -- (-7496.218) (-7515.450) (-7507.727) [-7508.986] * (-7509.520) (-7520.820) (-7493.613) [-7509.657] -- 0:18:01
263000 -- [-7486.534] (-7519.190) (-7500.110) (-7510.480) * (-7522.755) (-7500.759) (-7498.749) [-7493.931] -- 0:17:58
264000 -- [-7492.492] (-7509.308) (-7493.457) (-7489.121) * (-7515.886) (-7506.789) (-7495.966) [-7495.275] -- 0:17:58
265000 -- [-7497.506] (-7502.468) (-7490.621) (-7519.458) * (-7506.181) (-7494.490) [-7500.593] (-7495.256) -- 0:17:56
Average standard deviation of split frequencies: 0.005961
266000 -- (-7504.295) (-7518.006) (-7498.703) [-7493.418] * (-7509.060) (-7508.710) [-7490.215] (-7494.627) -- 0:17:56
267000 -- (-7494.814) (-7516.606) [-7506.633] (-7497.606) * (-7514.000) (-7497.420) [-7505.032] (-7506.128) -- 0:17:53
268000 -- [-7495.135] (-7527.527) (-7501.554) (-7502.442) * [-7503.038] (-7503.567) (-7517.275) (-7498.947) -- 0:17:53
269000 -- [-7497.745] (-7525.985) (-7494.539) (-7523.079) * (-7496.132) (-7500.683) (-7502.924) [-7492.145] -- 0:17:50
270000 -- (-7497.849) (-7507.315) [-7514.830] (-7500.382) * [-7497.402] (-7490.963) (-7506.947) (-7487.644) -- 0:17:47
Average standard deviation of split frequencies: 0.006017
271000 -- (-7516.833) [-7496.052] (-7496.896) (-7507.175) * (-7507.969) [-7490.405] (-7508.642) (-7504.147) -- 0:17:47
272000 -- [-7488.508] (-7501.340) (-7516.106) (-7486.136) * (-7522.728) [-7490.571] (-7492.243) (-7500.419) -- 0:17:45
273000 -- [-7498.008] (-7501.402) (-7537.476) (-7499.815) * (-7506.102) (-7501.809) (-7501.768) [-7504.116] -- 0:17:45
274000 -- (-7486.238) (-7497.111) (-7509.922) [-7504.605] * (-7493.023) [-7498.896] (-7495.699) (-7500.659) -- 0:17:42
275000 -- (-7501.607) [-7498.786] (-7489.744) (-7496.091) * (-7493.943) [-7497.827] (-7496.544) (-7488.109) -- 0:17:39
Average standard deviation of split frequencies: 0.004581
276000 -- (-7503.532) [-7495.695] (-7501.611) (-7505.259) * (-7498.891) (-7503.621) (-7496.705) [-7493.347] -- 0:17:39
277000 -- (-7530.671) [-7491.076] (-7494.512) (-7502.112) * (-7510.840) (-7511.243) [-7487.516] (-7495.353) -- 0:17:37
278000 -- (-7510.654) [-7490.565] (-7499.599) (-7504.493) * (-7492.238) [-7521.273] (-7494.676) (-7511.577) -- 0:17:37
279000 -- (-7500.466) [-7500.917] (-7492.948) (-7508.637) * (-7494.675) (-7511.238) (-7496.205) [-7499.640] -- 0:17:34
280000 -- (-7509.838) (-7509.320) [-7500.664] (-7515.552) * (-7513.271) (-7493.832) [-7498.148] (-7498.550) -- 0:17:31
Average standard deviation of split frequencies: 0.004733
281000 -- (-7496.164) (-7507.447) [-7501.692] (-7523.701) * (-7507.788) (-7501.600) (-7521.147) [-7486.337] -- 0:17:31
282000 -- (-7498.847) (-7512.354) [-7500.587] (-7512.607) * (-7507.180) [-7496.965] (-7508.341) (-7501.354) -- 0:17:28
283000 -- (-7499.307) (-7496.620) (-7502.980) [-7493.900] * [-7513.673] (-7496.961) (-7506.695) (-7496.472) -- 0:17:28
284000 -- (-7503.325) [-7496.485] (-7503.451) (-7492.555) * (-7499.040) (-7498.621) [-7506.239] (-7510.553) -- 0:17:26
285000 -- [-7493.393] (-7516.374) (-7507.007) (-7501.161) * (-7503.397) (-7528.442) (-7503.398) [-7499.441] -- 0:17:26
Average standard deviation of split frequencies: 0.005446
286000 -- (-7516.804) (-7513.612) [-7487.300] (-7505.218) * (-7523.905) [-7496.373] (-7501.034) (-7505.307) -- 0:17:23
287000 -- (-7502.479) [-7499.241] (-7504.486) (-7497.444) * (-7516.549) (-7503.593) (-7505.235) [-7497.802] -- 0:17:23
288000 -- (-7494.582) (-7511.828) (-7496.971) [-7496.114] * [-7500.679] (-7506.696) (-7509.385) (-7501.149) -- 0:17:20
289000 -- (-7509.342) (-7505.121) (-7495.078) [-7504.477] * (-7503.140) [-7488.765] (-7497.056) (-7512.364) -- 0:17:18
290000 -- (-7513.269) (-7508.973) (-7498.921) [-7492.049] * (-7508.287) (-7503.851) [-7489.120] (-7510.601) -- 0:17:18
Average standard deviation of split frequencies: 0.004644
291000 -- [-7503.795] (-7511.415) (-7509.708) (-7506.654) * (-7514.938) [-7501.246] (-7483.473) (-7514.693) -- 0:17:15
292000 -- (-7509.449) (-7512.036) [-7489.423] (-7498.944) * (-7514.704) (-7511.936) [-7491.515] (-7494.425) -- 0:17:15
293000 -- [-7487.728] (-7519.716) (-7497.170) (-7508.673) * (-7520.463) (-7512.514) [-7499.759] (-7488.504) -- 0:17:12
294000 -- [-7498.072] (-7516.774) (-7527.348) (-7492.045) * (-7504.646) (-7507.858) [-7488.938] (-7500.078) -- 0:17:12
295000 -- (-7496.608) (-7511.475) (-7503.329) [-7490.737] * (-7485.596) (-7505.452) (-7495.212) [-7501.998] -- 0:17:10
Average standard deviation of split frequencies: 0.004054
296000 -- (-7510.874) (-7500.264) (-7521.480) [-7507.194] * (-7506.521) (-7487.350) [-7485.071] (-7508.791) -- 0:17:09
297000 -- [-7496.872] (-7510.072) (-7522.492) (-7504.443) * [-7506.886] (-7510.485) (-7488.845) (-7499.529) -- 0:17:07
298000 -- (-7499.807) (-7513.341) [-7498.255] (-7517.271) * (-7507.540) (-7498.026) [-7494.378] (-7504.432) -- 0:17:07
299000 -- [-7492.470] (-7506.909) (-7500.951) (-7518.936) * (-7510.123) (-7493.624) [-7497.661] (-7505.121) -- 0:17:04
300000 -- [-7504.534] (-7511.645) (-7512.600) (-7498.559) * [-7501.205] (-7514.326) (-7496.680) (-7510.754) -- 0:17:04
Average standard deviation of split frequencies: 0.004347
301000 -- (-7502.205) [-7494.845] (-7498.265) (-7507.165) * (-7510.415) [-7504.815] (-7498.405) (-7501.386) -- 0:17:01
302000 -- (-7513.486) (-7500.772) [-7493.439] (-7514.816) * (-7498.006) (-7515.625) [-7498.331] (-7512.925) -- 0:16:59
303000 -- (-7505.489) [-7492.692] (-7503.924) (-7516.903) * (-7494.172) (-7503.781) [-7488.339] (-7514.640) -- 0:16:59
304000 -- (-7507.844) [-7499.691] (-7500.677) (-7509.964) * (-7493.466) [-7487.963] (-7511.001) (-7494.634) -- 0:16:56
305000 -- (-7513.666) (-7506.106) [-7494.398] (-7522.541) * (-7503.099) (-7495.791) (-7504.135) [-7490.485] -- 0:16:56
Average standard deviation of split frequencies: 0.004482
306000 -- (-7514.942) (-7518.856) (-7505.093) [-7493.753] * (-7502.017) (-7493.936) (-7500.527) [-7492.235] -- 0:16:53
307000 -- (-7508.912) (-7501.432) (-7503.346) [-7492.861] * (-7505.411) [-7501.137] (-7502.099) (-7492.444) -- 0:16:53
308000 -- (-7499.273) (-7504.115) (-7502.580) [-7491.199] * (-7496.712) [-7497.179] (-7512.146) (-7501.320) -- 0:16:51
309000 -- [-7494.456] (-7508.285) (-7514.570) (-7502.690) * (-7500.323) (-7506.774) (-7509.077) [-7503.402] -- 0:16:48
310000 -- (-7518.636) (-7503.054) [-7503.009] (-7491.921) * (-7488.813) [-7518.765] (-7523.491) (-7510.402) -- 0:16:48
Average standard deviation of split frequencies: 0.004414
311000 -- [-7504.829] (-7524.337) (-7502.779) (-7508.758) * (-7503.512) (-7518.853) (-7512.209) [-7512.380] -- 0:16:45
312000 -- (-7503.354) (-7525.981) [-7500.911] (-7498.243) * [-7497.602] (-7525.567) (-7504.227) (-7504.824) -- 0:16:45
313000 -- (-7510.110) (-7518.957) (-7497.656) [-7484.003] * (-7506.807) (-7496.570) [-7504.733] (-7506.515) -- 0:16:43
314000 -- [-7495.433] (-7514.436) (-7507.671) (-7498.265) * [-7489.442] (-7509.008) (-7539.467) (-7502.893) -- 0:16:42
315000 -- (-7508.513) (-7514.688) (-7501.548) [-7498.471] * [-7493.708] (-7503.708) (-7532.686) (-7492.802) -- 0:16:40
Average standard deviation of split frequencies: 0.004747
316000 -- [-7489.229] (-7501.458) (-7500.602) (-7496.081) * [-7487.213] (-7497.124) (-7508.735) (-7501.718) -- 0:16:37
317000 -- (-7499.973) (-7504.026) [-7504.849] (-7503.642) * (-7498.668) (-7506.371) (-7508.867) [-7494.544] -- 0:16:37
318000 -- (-7482.532) (-7506.596) (-7512.346) [-7494.200] * (-7498.838) (-7503.664) [-7498.557] (-7502.696) -- 0:16:35
319000 -- (-7507.490) (-7516.993) [-7492.523] (-7493.678) * (-7499.671) (-7497.374) [-7492.257] (-7495.763) -- 0:16:34
320000 -- (-7528.559) (-7501.267) [-7494.839] (-7487.302) * [-7498.359] (-7515.072) (-7497.518) (-7517.474) -- 0:16:32
Average standard deviation of split frequencies: 0.005613
321000 -- (-7534.798) (-7503.580) [-7488.516] (-7491.651) * (-7502.734) (-7511.530) (-7513.046) [-7487.008] -- 0:16:32
322000 -- (-7509.983) (-7513.714) (-7504.235) [-7488.855] * [-7496.003] (-7510.045) (-7495.830) (-7501.055) -- 0:16:29
323000 -- (-7514.909) (-7499.597) [-7496.028] (-7495.393) * (-7493.400) [-7510.380] (-7511.078) (-7514.419) -- 0:16:27
324000 -- (-7506.184) (-7506.405) (-7514.228) [-7492.466] * [-7493.988] (-7495.728) (-7513.132) (-7505.573) -- 0:16:26
325000 -- [-7501.069] (-7493.870) (-7524.474) (-7522.580) * (-7485.985) [-7493.427] (-7503.208) (-7512.693) -- 0:16:24
Average standard deviation of split frequencies: 0.005850
326000 -- (-7509.311) (-7490.850) (-7514.080) [-7510.102] * (-7486.108) [-7514.668] (-7494.604) (-7502.417) -- 0:16:24
327000 -- (-7521.671) [-7499.980] (-7510.535) (-7503.806) * [-7476.506] (-7506.763) (-7512.938) (-7505.570) -- 0:16:21
328000 -- (-7495.495) (-7498.417) (-7499.372) [-7493.202] * (-7504.728) (-7501.481) (-7499.952) [-7496.959] -- 0:16:21
329000 -- (-7512.909) (-7500.909) (-7508.790) [-7504.600] * (-7510.915) (-7501.685) (-7511.159) [-7491.324] -- 0:16:18
330000 -- (-7518.939) [-7489.721] (-7520.404) (-7508.865) * (-7501.107) [-7513.634] (-7525.089) (-7485.198) -- 0:16:16
Average standard deviation of split frequencies: 0.005573
331000 -- (-7518.989) (-7514.908) [-7498.410] (-7503.941) * (-7517.566) (-7517.762) (-7503.206) [-7494.663] -- 0:16:16
332000 -- (-7500.792) (-7502.662) (-7504.248) [-7495.343] * (-7523.553) (-7514.260) (-7515.084) [-7506.564] -- 0:16:13
333000 -- [-7497.967] (-7492.818) (-7497.203) (-7530.349) * (-7509.344) [-7493.952] (-7507.525) (-7498.221) -- 0:16:13
334000 -- [-7487.485] (-7505.081) (-7495.380) (-7517.231) * (-7512.523) [-7500.624] (-7491.800) (-7509.432) -- 0:16:11
335000 -- (-7497.698) (-7513.773) [-7484.876] (-7506.513) * (-7510.456) (-7530.142) (-7492.865) [-7501.590] -- 0:16:10
Average standard deviation of split frequencies: 0.005740
336000 -- [-7499.187] (-7511.311) (-7508.296) (-7502.514) * (-7501.752) (-7512.057) [-7491.944] (-7507.067) -- 0:16:08
337000 -- (-7495.366) (-7491.642) (-7506.030) [-7495.477] * (-7512.564) (-7506.739) [-7488.982] (-7517.293) -- 0:16:07
338000 -- (-7490.442) (-7508.370) (-7504.517) [-7502.558] * (-7511.122) (-7499.167) (-7504.596) [-7502.544] -- 0:16:05
339000 -- [-7487.518] (-7508.604) (-7497.337) (-7513.874) * [-7490.951] (-7496.698) (-7500.218) (-7499.798) -- 0:16:05
340000 -- (-7492.827) (-7502.099) [-7491.626] (-7524.298) * [-7497.010] (-7497.227) (-7504.130) (-7508.249) -- 0:16:02
Average standard deviation of split frequencies: 0.005535
341000 -- [-7493.959] (-7508.433) (-7490.772) (-7515.794) * (-7494.988) [-7492.036] (-7491.642) (-7512.212) -- 0:16:00
342000 -- (-7520.189) (-7510.989) [-7490.718] (-7508.275) * (-7498.162) (-7503.509) [-7489.968] (-7520.237) -- 0:16:00
343000 -- (-7510.295) (-7523.522) [-7493.672] (-7504.874) * (-7506.660) (-7506.489) [-7486.706] (-7512.042) -- 0:15:57
344000 -- (-7514.341) (-7506.839) [-7501.176] (-7519.783) * [-7499.210] (-7503.609) (-7496.573) (-7518.069) -- 0:15:57
345000 -- (-7516.762) (-7507.372) [-7487.490] (-7505.774) * (-7492.143) (-7499.871) (-7505.275) [-7501.529] -- 0:15:54
Average standard deviation of split frequencies: 0.005924
346000 -- [-7493.586] (-7514.520) (-7510.756) (-7503.596) * (-7489.479) (-7527.588) [-7498.490] (-7510.218) -- 0:15:54
347000 -- (-7507.016) (-7501.148) (-7494.754) [-7503.207] * (-7491.067) (-7504.592) [-7491.947] (-7504.315) -- 0:15:52
348000 -- (-7511.479) (-7494.198) (-7504.100) [-7498.991] * (-7510.259) [-7494.098] (-7509.806) (-7508.078) -- 0:15:51
349000 -- (-7513.991) [-7499.197] (-7495.509) (-7513.063) * (-7507.830) (-7531.848) [-7487.904] (-7509.862) -- 0:15:49
350000 -- (-7504.850) (-7512.757) [-7490.892] (-7506.754) * (-7495.645) [-7498.918] (-7495.773) (-7502.768) -- 0:15:47
Average standard deviation of split frequencies: 0.005377
351000 -- (-7518.863) [-7502.899] (-7506.985) (-7502.280) * (-7509.420) [-7494.288] (-7513.020) (-7491.621) -- 0:15:46
352000 -- (-7502.151) (-7493.059) (-7511.289) [-7488.726] * (-7500.033) [-7488.046] (-7508.209) (-7509.725) -- 0:15:44
353000 -- [-7498.064] (-7509.322) (-7516.217) (-7506.238) * (-7508.712) (-7495.910) (-7507.207) [-7491.844] -- 0:15:43
354000 -- [-7497.658] (-7499.506) (-7507.843) (-7515.241) * (-7518.819) (-7517.427) [-7508.817] (-7502.073) -- 0:15:41
355000 -- [-7496.529] (-7503.607) (-7498.222) (-7514.895) * (-7516.186) (-7516.349) (-7509.069) [-7495.475] -- 0:15:41
Average standard deviation of split frequencies: 0.004875
356000 -- (-7513.397) (-7512.450) [-7493.066] (-7502.174) * (-7520.328) (-7505.852) (-7502.300) [-7489.828] -- 0:15:38
357000 -- (-7511.933) (-7504.922) [-7489.096] (-7514.842) * (-7510.724) [-7502.940] (-7499.783) (-7502.728) -- 0:15:36
358000 -- (-7506.201) (-7494.869) [-7482.126] (-7513.680) * (-7496.571) [-7491.623] (-7502.545) (-7505.779) -- 0:15:36
359000 -- (-7511.428) (-7509.371) [-7495.313] (-7508.164) * (-7497.408) [-7486.380] (-7510.298) (-7507.847) -- 0:15:33
360000 -- (-7501.983) [-7492.340] (-7491.426) (-7510.824) * (-7515.807) (-7508.019) [-7501.124] (-7502.952) -- 0:15:33
Average standard deviation of split frequencies: 0.004515
361000 -- (-7487.575) (-7505.584) [-7505.863] (-7511.677) * (-7509.819) (-7501.112) [-7501.277] (-7492.904) -- 0:15:31
362000 -- (-7495.712) [-7501.589] (-7499.563) (-7516.350) * (-7517.545) (-7499.630) [-7495.865] (-7494.026) -- 0:15:30
363000 -- [-7491.786] (-7488.242) (-7503.043) (-7528.253) * (-7505.156) (-7501.673) [-7498.034] (-7494.399) -- 0:15:28
364000 -- (-7508.392) [-7495.804] (-7519.016) (-7505.232) * (-7516.782) (-7498.634) (-7497.060) [-7506.182] -- 0:15:27
365000 -- [-7500.997] (-7491.753) (-7507.237) (-7503.966) * (-7505.472) (-7520.531) [-7504.927] (-7491.326) -- 0:15:25
Average standard deviation of split frequencies: 0.004391
366000 -- (-7506.912) (-7508.382) (-7500.270) [-7494.197] * (-7509.669) (-7525.165) (-7501.132) [-7492.440] -- 0:15:23
367000 -- (-7525.739) [-7498.309] (-7497.750) (-7510.931) * (-7510.379) (-7504.712) (-7521.931) [-7504.679] -- 0:15:22
368000 -- (-7513.209) [-7514.436] (-7527.607) (-7508.778) * (-7504.713) (-7510.670) [-7495.495] (-7512.259) -- 0:15:20
369000 -- (-7513.366) (-7509.516) [-7507.997] (-7509.364) * (-7507.888) (-7533.457) (-7502.604) [-7500.127] -- 0:15:19
370000 -- (-7521.352) [-7499.078] (-7515.305) (-7509.170) * [-7491.373] (-7513.774) (-7495.700) (-7509.957) -- 0:15:17
Average standard deviation of split frequencies: 0.004509
371000 -- (-7501.486) [-7490.140] (-7511.048) (-7522.176) * [-7489.713] (-7528.920) (-7507.510) (-7510.276) -- 0:15:15
372000 -- (-7507.984) [-7492.969] (-7504.884) (-7506.430) * [-7494.265] (-7507.041) (-7521.522) (-7505.654) -- 0:15:14
373000 -- (-7502.819) (-7495.327) [-7499.513] (-7510.670) * (-7498.465) (-7522.433) (-7512.522) [-7500.151] -- 0:15:12
374000 -- (-7513.424) (-7494.457) [-7491.011] (-7507.280) * (-7522.090) (-7511.328) (-7506.568) [-7496.412] -- 0:15:12
375000 -- (-7503.368) (-7513.298) [-7489.054] (-7513.039) * (-7511.188) (-7505.375) (-7507.164) [-7509.544] -- 0:15:10
Average standard deviation of split frequencies: 0.004160
376000 -- [-7489.036] (-7508.352) (-7490.327) (-7523.255) * (-7506.734) (-7502.177) (-7497.065) [-7499.625] -- 0:15:07
377000 -- (-7517.890) [-7502.462] (-7492.256) (-7510.716) * (-7520.070) [-7498.590] (-7494.306) (-7499.294) -- 0:15:07
378000 -- (-7511.725) [-7505.348] (-7494.319) (-7513.025) * [-7492.624] (-7517.523) (-7503.763) (-7504.902) -- 0:15:05
379000 -- (-7509.784) [-7511.698] (-7500.979) (-7505.275) * [-7488.941] (-7510.486) (-7501.854) (-7516.622) -- 0:15:04
380000 -- (-7490.220) (-7508.252) (-7512.152) [-7508.295] * (-7498.512) [-7488.200] (-7500.800) (-7510.082) -- 0:15:02
Average standard deviation of split frequencies: 0.003715
381000 -- (-7494.534) (-7513.845) (-7499.824) [-7501.154] * (-7499.316) (-7499.072) [-7486.072] (-7496.191) -- 0:15:01
382000 -- (-7515.006) (-7510.869) [-7493.887] (-7501.450) * [-7492.042] (-7489.268) (-7500.179) (-7521.409) -- 0:14:59
383000 -- (-7515.811) (-7518.076) (-7503.721) [-7495.944] * (-7513.074) (-7497.514) (-7512.142) [-7498.426] -- 0:14:58
384000 -- (-7498.772) (-7518.739) (-7506.816) [-7496.836] * (-7504.965) (-7499.576) [-7492.742] (-7517.364) -- 0:14:56
385000 -- [-7493.669] (-7514.492) (-7502.942) (-7503.333) * [-7501.801] (-7506.309) (-7497.114) (-7516.757) -- 0:14:56
Average standard deviation of split frequencies: 0.004460
386000 -- [-7499.746] (-7506.350) (-7509.882) (-7518.034) * (-7513.045) [-7494.452] (-7510.368) (-7493.421) -- 0:14:53
387000 -- (-7506.843) (-7516.422) [-7507.739] (-7501.228) * [-7495.534] (-7500.761) (-7512.856) (-7504.480) -- 0:14:51
388000 -- (-7511.134) (-7518.645) [-7496.936] (-7495.460) * (-7507.889) (-7496.665) (-7518.183) [-7485.114] -- 0:14:51
389000 -- [-7501.520] (-7522.461) (-7522.365) (-7498.613) * (-7524.883) (-7506.770) (-7515.335) [-7492.844] -- 0:14:49
390000 -- (-7510.781) (-7516.827) (-7523.081) [-7500.247] * (-7510.449) (-7500.333) [-7492.912] (-7510.415) -- 0:14:48
Average standard deviation of split frequencies: 0.004302
391000 -- (-7509.108) (-7522.113) (-7508.946) [-7498.010] * (-7500.999) [-7514.865] (-7497.832) (-7505.547) -- 0:14:46
392000 -- (-7533.733) (-7528.853) [-7502.309] (-7488.306) * (-7507.391) (-7511.646) (-7489.402) [-7509.939] -- 0:14:45
393000 -- (-7510.730) (-7509.685) (-7502.681) [-7491.228] * [-7494.121] (-7499.671) (-7502.614) (-7497.295) -- 0:14:43
394000 -- (-7511.417) (-7513.663) (-7510.132) [-7493.621] * (-7515.465) (-7511.236) [-7494.728] (-7495.689) -- 0:14:42
395000 -- (-7499.503) (-7523.180) (-7511.171) [-7504.278] * (-7513.467) [-7496.636] (-7502.253) (-7494.841) -- 0:14:40
Average standard deviation of split frequencies: 0.003355
396000 -- (-7501.217) (-7504.858) [-7498.253] (-7513.004) * (-7496.407) (-7501.617) (-7497.028) [-7499.650] -- 0:14:40
397000 -- (-7501.536) [-7488.944] (-7504.953) (-7509.207) * [-7496.524] (-7493.496) (-7492.375) (-7506.120) -- 0:14:37
398000 -- (-7489.561) [-7497.497] (-7520.825) (-7509.055) * (-7504.545) [-7494.206] (-7488.737) (-7504.101) -- 0:14:35
399000 -- (-7492.936) (-7521.408) (-7514.960) [-7519.136] * (-7505.044) [-7500.713] (-7487.604) (-7522.227) -- 0:14:35
400000 -- [-7492.471] (-7493.641) (-7528.483) (-7525.386) * (-7505.055) (-7489.399) (-7485.200) [-7511.652] -- 0:14:33
Average standard deviation of split frequencies: 0.004706
401000 -- (-7488.546) (-7510.704) [-7519.370] (-7518.572) * [-7487.822] (-7516.783) (-7493.926) (-7505.092) -- 0:14:32
402000 -- [-7492.470] (-7505.890) (-7507.355) (-7533.135) * [-7500.160] (-7505.032) (-7501.946) (-7515.865) -- 0:14:30
403000 -- (-7506.690) [-7489.864] (-7504.259) (-7500.662) * (-7517.845) [-7504.172] (-7494.100) (-7515.286) -- 0:14:29
404000 -- [-7497.589] (-7490.421) (-7513.097) (-7516.024) * [-7509.194] (-7501.286) (-7518.612) (-7493.945) -- 0:14:27
405000 -- (-7501.423) (-7496.186) (-7497.506) [-7480.805] * (-7518.376) (-7503.836) [-7501.678] (-7502.903) -- 0:14:26
Average standard deviation of split frequencies: 0.004594
406000 -- (-7507.978) (-7504.026) (-7491.138) [-7498.174] * (-7502.734) [-7511.305] (-7495.608) (-7514.788) -- 0:14:24
407000 -- (-7518.323) (-7521.525) [-7503.757] (-7514.868) * [-7508.643] (-7510.144) (-7502.540) (-7502.283) -- 0:14:22
408000 -- (-7508.076) (-7500.121) [-7492.177] (-7509.086) * [-7481.628] (-7494.450) (-7496.619) (-7494.467) -- 0:14:21
409000 -- (-7506.747) [-7511.639] (-7502.127) (-7503.769) * (-7523.365) (-7495.451) (-7495.786) [-7489.641] -- 0:14:21
410000 -- [-7502.259] (-7524.913) (-7511.418) (-7511.762) * (-7522.402) (-7500.885) (-7507.254) [-7493.278] -- 0:14:19
Average standard deviation of split frequencies: 0.003600
411000 -- (-7498.784) (-7514.929) (-7495.810) [-7488.209] * (-7499.117) [-7500.565] (-7516.083) (-7505.233) -- 0:14:18
412000 -- (-7493.005) (-7507.863) [-7508.595] (-7514.730) * (-7516.420) [-7486.200] (-7521.493) (-7491.661) -- 0:14:16
413000 -- (-7510.151) (-7531.531) [-7489.233] (-7510.943) * [-7504.027] (-7512.927) (-7522.277) (-7505.542) -- 0:14:14
414000 -- (-7512.908) (-7509.797) (-7492.177) [-7497.789] * (-7518.309) (-7517.695) (-7512.990) [-7490.300] -- 0:14:13
415000 -- (-7491.854) (-7503.365) [-7493.408] (-7517.569) * (-7503.493) (-7510.327) [-7484.857] (-7499.058) -- 0:14:11
Average standard deviation of split frequencies: 0.003606
416000 -- (-7503.614) (-7523.802) (-7500.832) [-7512.557] * (-7516.151) (-7511.753) [-7488.560] (-7511.996) -- 0:14:10
417000 -- (-7503.280) (-7493.174) (-7512.181) [-7493.889] * [-7505.336] (-7519.638) (-7502.253) (-7510.589) -- 0:14:08
418000 -- [-7501.607] (-7510.159) (-7514.687) (-7495.832) * [-7502.090] (-7528.777) (-7522.728) (-7500.700) -- 0:14:06
419000 -- [-7492.988] (-7520.817) (-7495.466) (-7487.010) * [-7498.956] (-7518.515) (-7488.222) (-7511.508) -- 0:14:05
420000 -- [-7494.836] (-7505.364) (-7503.362) (-7485.842) * (-7504.428) (-7515.358) [-7500.884] (-7516.500) -- 0:14:03
Average standard deviation of split frequencies: 0.003362
421000 -- (-7502.826) (-7517.816) [-7498.403] (-7491.789) * [-7500.950] (-7518.044) (-7509.877) (-7521.838) -- 0:14:03
422000 -- (-7507.608) (-7503.133) [-7497.939] (-7491.738) * (-7507.765) (-7519.157) [-7501.277] (-7517.131) -- 0:14:00
423000 -- (-7499.994) (-7503.413) [-7496.666] (-7510.071) * (-7525.898) (-7515.517) [-7494.816] (-7511.690) -- 0:13:58
424000 -- (-7516.998) [-7494.806] (-7525.471) (-7517.074) * (-7512.907) (-7500.879) [-7492.805] (-7500.760) -- 0:13:58
425000 -- (-7516.248) [-7492.264] (-7510.753) (-7498.650) * (-7501.822) [-7488.214] (-7486.837) (-7512.207) -- 0:13:56
Average standard deviation of split frequencies: 0.003471
426000 -- (-7510.550) [-7494.578] (-7515.642) (-7496.495) * [-7505.947] (-7507.268) (-7500.358) (-7517.118) -- 0:13:55
427000 -- [-7497.324] (-7513.822) (-7521.007) (-7495.340) * (-7510.152) (-7508.317) [-7500.036] (-7504.326) -- 0:13:53
428000 -- (-7521.748) (-7494.442) (-7512.592) [-7499.223] * (-7515.387) (-7506.319) [-7493.829] (-7503.551) -- 0:13:51
429000 -- (-7503.930) (-7500.485) (-7521.938) [-7486.530] * (-7499.479) (-7515.534) (-7515.719) [-7509.411] -- 0:13:50
430000 -- (-7500.576) [-7488.981] (-7517.050) (-7487.511) * [-7497.986] (-7514.025) (-7510.116) (-7499.742) -- 0:13:48
Average standard deviation of split frequencies: 0.003383
431000 -- (-7502.796) (-7496.303) (-7505.154) [-7487.372] * (-7522.866) (-7515.024) (-7492.569) [-7502.149] -- 0:13:47
432000 -- (-7502.669) (-7522.679) [-7499.844] (-7496.467) * [-7490.974] (-7501.826) (-7495.208) (-7514.479) -- 0:13:45
433000 -- (-7509.687) (-7521.059) (-7505.020) [-7502.808] * (-7489.682) [-7496.076] (-7517.399) (-7513.353) -- 0:13:44
434000 -- (-7501.402) (-7508.398) (-7516.756) [-7506.497] * [-7502.376] (-7504.037) (-7516.567) (-7497.080) -- 0:13:42
435000 -- [-7489.477] (-7519.361) (-7512.926) (-7518.862) * (-7517.728) (-7522.620) (-7510.015) [-7498.439] -- 0:13:42
Average standard deviation of split frequencies: 0.003096
436000 -- (-7524.999) (-7522.233) (-7517.087) [-7517.599] * (-7507.541) (-7530.928) (-7510.270) [-7491.440] -- 0:13:40
437000 -- (-7516.392) [-7512.834] (-7519.345) (-7525.783) * [-7499.935] (-7521.819) (-7505.306) (-7500.827) -- 0:13:38
438000 -- (-7513.269) (-7504.218) [-7509.337] (-7501.383) * (-7487.615) (-7517.216) (-7506.121) [-7488.568] -- 0:13:37
439000 -- (-7506.721) (-7490.415) [-7495.778] (-7505.742) * (-7516.420) (-7507.069) (-7499.006) [-7494.346] -- 0:13:35
440000 -- [-7498.405] (-7498.150) (-7522.218) (-7511.705) * (-7510.828) (-7512.843) (-7500.064) [-7493.489] -- 0:13:34
Average standard deviation of split frequencies: 0.003209
441000 -- (-7510.994) (-7497.812) [-7498.191] (-7506.886) * (-7515.059) [-7498.577] (-7509.027) (-7496.853) -- 0:13:32
442000 -- [-7490.762] (-7498.089) (-7509.753) (-7500.902) * [-7502.877] (-7503.219) (-7520.202) (-7494.470) -- 0:13:31
443000 -- (-7491.786) (-7506.136) (-7510.179) [-7485.924] * (-7507.519) (-7495.720) (-7522.774) [-7487.757] -- 0:13:29
444000 -- (-7498.414) (-7529.542) (-7501.721) [-7499.814] * [-7500.957] (-7513.986) (-7497.370) (-7490.700) -- 0:13:28
445000 -- (-7487.548) (-7513.301) [-7497.244] (-7506.091) * [-7492.084] (-7509.006) (-7505.237) (-7514.588) -- 0:13:26
Average standard deviation of split frequencies: 0.003315
446000 -- [-7489.046] (-7488.754) (-7507.796) (-7509.971) * (-7498.062) (-7504.708) [-7508.632] (-7498.777) -- 0:13:26
447000 -- (-7497.968) [-7486.358] (-7499.291) (-7496.557) * [-7486.814] (-7503.418) (-7500.343) (-7513.810) -- 0:13:24
448000 -- (-7494.384) (-7500.387) [-7492.026] (-7522.220) * (-7500.232) (-7514.833) (-7508.528) [-7503.846] -- 0:13:22
449000 -- [-7501.833] (-7500.528) (-7500.770) (-7507.199) * (-7511.452) (-7506.955) [-7493.094] (-7492.827) -- 0:13:21
450000 -- (-7504.833) (-7503.390) (-7495.908) [-7502.599] * [-7500.580] (-7511.238) (-7505.141) (-7511.972) -- 0:13:20
Average standard deviation of split frequencies: 0.003328
451000 -- (-7510.185) (-7503.520) [-7503.916] (-7498.887) * (-7493.217) (-7495.650) (-7526.222) [-7505.834] -- 0:13:18
452000 -- [-7497.088] (-7514.814) (-7518.006) (-7506.949) * (-7499.779) (-7485.691) (-7522.938) [-7500.280] -- 0:13:16
453000 -- (-7503.433) (-7518.147) [-7497.823] (-7503.024) * (-7494.041) [-7486.913] (-7499.021) (-7505.954) -- 0:13:15
454000 -- (-7503.219) (-7509.518) [-7498.273] (-7507.092) * (-7508.186) (-7491.804) [-7495.714] (-7503.560) -- 0:13:13
455000 -- (-7515.948) [-7491.075] (-7495.930) (-7508.833) * (-7492.349) [-7501.718] (-7521.352) (-7498.906) -- 0:13:12
Average standard deviation of split frequencies: 0.003524
456000 -- (-7519.036) (-7490.634) (-7503.825) [-7487.732] * (-7498.151) (-7500.595) (-7527.650) [-7494.130] -- 0:13:10
457000 -- (-7506.949) (-7492.775) [-7501.544] (-7494.391) * (-7505.871) (-7500.417) (-7521.248) [-7493.190] -- 0:13:10
458000 -- [-7493.539] (-7501.806) (-7504.514) (-7520.223) * (-7502.308) (-7512.359) [-7506.957] (-7501.709) -- 0:13:08
459000 -- (-7517.087) [-7502.008] (-7514.514) (-7501.270) * (-7509.429) (-7518.635) (-7499.801) [-7491.144] -- 0:13:06
460000 -- (-7503.099) (-7493.603) (-7516.887) [-7499.139] * (-7515.105) (-7522.815) (-7512.814) [-7495.749] -- 0:13:05
Average standard deviation of split frequencies: 0.003349
461000 -- (-7493.315) [-7501.940] (-7504.672) (-7526.835) * (-7519.634) (-7497.929) (-7520.928) [-7489.022] -- 0:13:03
462000 -- (-7493.310) (-7519.322) [-7500.618] (-7508.409) * (-7513.881) [-7493.653] (-7494.898) (-7514.122) -- 0:13:02
463000 -- (-7488.696) (-7521.738) [-7494.384] (-7501.775) * (-7508.571) (-7494.246) [-7493.148] (-7513.997) -- 0:13:00
464000 -- (-7498.641) (-7509.932) [-7504.213] (-7526.176) * (-7510.827) (-7511.122) [-7496.766] (-7519.490) -- 0:12:59
465000 -- (-7516.798) (-7505.576) (-7501.448) [-7511.391] * [-7506.994] (-7498.831) (-7508.586) (-7507.215) -- 0:12:57
Average standard deviation of split frequencies: 0.003914
466000 -- [-7502.164] (-7501.472) (-7499.109) (-7510.510) * [-7504.050] (-7513.898) (-7511.241) (-7497.789) -- 0:12:55
467000 -- (-7505.995) (-7494.068) [-7495.354] (-7503.294) * (-7511.703) (-7519.616) [-7491.685] (-7511.068) -- 0:12:54
468000 -- (-7510.105) [-7499.295] (-7520.165) (-7519.820) * (-7522.426) [-7495.205] (-7498.312) (-7507.971) -- 0:12:52
469000 -- (-7506.835) [-7490.312] (-7518.762) (-7509.958) * [-7493.989] (-7496.363) (-7498.535) (-7526.968) -- 0:12:52
470000 -- (-7507.226) [-7499.930] (-7495.781) (-7511.736) * (-7515.636) (-7509.933) [-7488.934] (-7518.537) -- 0:12:50
Average standard deviation of split frequencies: 0.004006
471000 -- (-7503.317) [-7497.247] (-7507.571) (-7504.470) * (-7498.476) (-7511.574) [-7489.860] (-7506.918) -- 0:12:48
472000 -- (-7508.312) (-7503.933) (-7500.182) [-7492.986] * [-7499.955] (-7496.999) (-7497.570) (-7498.848) -- 0:12:47
473000 -- [-7494.597] (-7507.980) (-7500.681) (-7493.440) * (-7514.708) (-7496.109) [-7493.202] (-7506.723) -- 0:12:45
474000 -- (-7494.337) [-7500.192] (-7504.184) (-7504.118) * (-7515.171) [-7496.614] (-7507.209) (-7497.542) -- 0:12:44
475000 -- (-7508.379) (-7500.041) [-7495.503] (-7498.387) * [-7500.415] (-7504.145) (-7501.528) (-7503.578) -- 0:12:42
Average standard deviation of split frequencies: 0.004134
476000 -- (-7495.072) (-7498.872) [-7503.522] (-7487.612) * [-7488.231] (-7509.291) (-7512.464) (-7509.508) -- 0:12:41
477000 -- (-7498.653) (-7500.025) (-7491.999) [-7480.682] * (-7501.106) [-7498.603] (-7494.396) (-7507.127) -- 0:12:39
478000 -- (-7502.933) (-7493.309) [-7500.395] (-7512.128) * (-7504.815) (-7518.272) [-7494.904] (-7511.808) -- 0:12:37
479000 -- (-7495.700) (-7500.065) (-7502.361) [-7501.984] * (-7513.019) (-7514.105) (-7501.526) [-7500.515] -- 0:12:37
480000 -- (-7504.486) (-7507.189) [-7489.959] (-7499.225) * (-7523.994) (-7512.583) (-7496.702) [-7491.401] -- 0:12:35
Average standard deviation of split frequencies: 0.004264
481000 -- [-7495.319] (-7504.887) (-7507.280) (-7513.522) * (-7499.484) (-7501.665) (-7512.633) [-7504.237] -- 0:12:34
482000 -- [-7489.933] (-7505.283) (-7499.388) (-7508.296) * (-7496.571) [-7509.932] (-7521.390) (-7509.611) -- 0:12:32
483000 -- (-7509.873) (-7501.998) [-7497.470] (-7493.070) * (-7497.353) [-7503.207] (-7512.608) (-7542.741) -- 0:12:31
484000 -- [-7498.687] (-7494.303) (-7498.175) (-7495.636) * (-7509.318) [-7495.926] (-7526.282) (-7504.743) -- 0:12:29
485000 -- (-7497.611) (-7510.166) [-7493.797] (-7498.736) * [-7496.510] (-7507.423) (-7525.659) (-7516.167) -- 0:12:28
Average standard deviation of split frequencies: 0.004386
486000 -- (-7508.062) (-7521.164) (-7483.350) [-7494.947] * (-7494.929) (-7513.304) [-7511.475] (-7519.046) -- 0:12:26
487000 -- [-7494.571] (-7508.983) (-7491.539) (-7500.039) * (-7503.477) (-7510.239) [-7500.218] (-7509.420) -- 0:12:25
488000 -- (-7516.380) (-7524.628) [-7492.873] (-7505.135) * (-7505.726) (-7502.887) [-7498.272] (-7504.377) -- 0:12:23
489000 -- (-7503.400) (-7519.264) [-7489.987] (-7505.087) * (-7503.366) [-7500.090] (-7499.510) (-7509.161) -- 0:12:21
490000 -- (-7507.330) (-7517.791) [-7489.819] (-7510.911) * [-7495.363] (-7505.915) (-7501.151) (-7517.595) -- 0:12:21
Average standard deviation of split frequencies: 0.004470
491000 -- (-7503.131) (-7493.244) (-7509.064) [-7494.491] * (-7502.306) (-7503.080) [-7500.147] (-7522.287) -- 0:12:19
492000 -- (-7505.036) [-7488.408] (-7509.547) (-7491.217) * (-7510.131) (-7497.722) [-7494.624] (-7537.822) -- 0:12:18
493000 -- (-7497.187) [-7503.587] (-7520.372) (-7490.042) * (-7520.682) [-7506.142] (-7485.049) (-7520.314) -- 0:12:16
494000 -- (-7500.609) (-7491.867) (-7501.860) [-7491.211] * [-7503.115] (-7520.677) (-7495.864) (-7516.266) -- 0:12:15
495000 -- (-7500.984) [-7489.803] (-7509.181) (-7507.690) * (-7502.028) (-7492.433) [-7493.626] (-7504.852) -- 0:12:13
Average standard deviation of split frequencies: 0.004463
496000 -- (-7479.431) (-7512.439) (-7494.999) [-7497.268] * (-7511.695) [-7495.853] (-7513.507) (-7510.128) -- 0:12:11
497000 -- (-7497.483) (-7521.221) [-7502.400] (-7499.740) * [-7497.280] (-7494.120) (-7524.136) (-7512.441) -- 0:12:10
498000 -- (-7500.019) (-7525.158) [-7492.865] (-7511.698) * [-7492.427] (-7514.206) (-7499.899) (-7499.828) -- 0:12:08
499000 -- (-7517.331) (-7501.142) [-7490.423] (-7507.037) * [-7480.184] (-7499.689) (-7505.011) (-7503.831) -- 0:12:07
500000 -- [-7499.726] (-7509.709) (-7484.597) (-7514.653) * (-7504.747) [-7502.844] (-7516.353) (-7511.456) -- 0:12:06
Average standard deviation of split frequencies: 0.004217
501000 -- (-7493.998) (-7514.526) [-7494.976] (-7517.682) * (-7517.395) [-7493.625] (-7510.075) (-7490.928) -- 0:12:05
502000 -- [-7490.627] (-7512.698) (-7509.137) (-7503.368) * [-7494.979] (-7496.661) (-7508.079) (-7497.992) -- 0:12:03
503000 -- (-7502.583) (-7506.287) [-7496.809] (-7497.017) * (-7493.400) [-7489.132] (-7500.024) (-7504.604) -- 0:12:02
504000 -- (-7507.947) (-7522.565) [-7501.216] (-7508.974) * (-7508.498) [-7496.496] (-7504.950) (-7505.335) -- 0:12:00
505000 -- (-7503.797) (-7529.079) [-7498.372] (-7496.512) * (-7509.710) [-7493.653] (-7527.076) (-7511.879) -- 0:11:59
Average standard deviation of split frequencies: 0.004172
506000 -- (-7498.582) (-7537.929) (-7510.400) [-7498.433] * (-7510.401) (-7497.279) [-7484.146] (-7506.656) -- 0:11:57
507000 -- (-7501.038) (-7525.533) (-7504.786) [-7488.332] * (-7513.101) (-7530.812) [-7506.758] (-7520.156) -- 0:11:55
508000 -- (-7505.110) (-7508.738) [-7491.058] (-7507.190) * [-7500.940] (-7505.835) (-7504.405) (-7501.560) -- 0:11:54
509000 -- (-7506.090) [-7496.956] (-7502.616) (-7514.975) * (-7519.463) (-7514.087) [-7500.385] (-7513.653) -- 0:11:52
510000 -- (-7523.721) (-7523.556) (-7500.689) [-7510.971] * (-7519.157) [-7497.633] (-7512.132) (-7506.414) -- 0:11:51
Average standard deviation of split frequencies: 0.004014
511000 -- (-7511.635) (-7516.567) (-7496.764) [-7502.115] * (-7514.327) [-7503.312] (-7503.646) (-7511.128) -- 0:11:50
512000 -- (-7502.265) (-7506.326) [-7489.309] (-7493.660) * (-7531.742) [-7489.359] (-7501.408) (-7528.522) -- 0:11:49
513000 -- [-7492.960] (-7500.459) (-7499.741) (-7503.531) * (-7513.201) [-7492.192] (-7490.586) (-7506.435) -- 0:11:47
514000 -- (-7492.930) [-7491.683] (-7518.683) (-7495.948) * (-7506.002) [-7493.391] (-7509.523) (-7491.937) -- 0:11:45
515000 -- (-7503.037) [-7489.693] (-7516.401) (-7489.856) * (-7510.016) (-7500.039) (-7518.786) [-7491.706] -- 0:11:44
Average standard deviation of split frequencies: 0.004171
516000 -- [-7514.164] (-7502.846) (-7508.768) (-7514.090) * (-7503.549) [-7490.530] (-7512.046) (-7517.347) -- 0:11:42
517000 -- (-7507.801) (-7493.093) [-7489.278] (-7513.436) * [-7491.695] (-7494.310) (-7500.425) (-7500.391) -- 0:11:41
518000 -- [-7499.812] (-7491.618) (-7510.136) (-7497.151) * [-7500.947] (-7504.169) (-7503.218) (-7507.929) -- 0:11:39
519000 -- (-7514.770) (-7500.319) (-7508.676) [-7489.996] * (-7512.531) (-7502.374) [-7496.069] (-7505.901) -- 0:11:38
520000 -- (-7501.234) [-7505.819] (-7526.707) (-7511.083) * (-7514.415) [-7493.967] (-7510.667) (-7507.497) -- 0:11:36
Average standard deviation of split frequencies: 0.003045
521000 -- [-7494.471] (-7494.721) (-7534.753) (-7518.288) * (-7512.736) (-7494.472) (-7513.606) [-7496.090] -- 0:11:35
522000 -- (-7504.606) (-7506.304) (-7514.327) [-7499.490] * [-7498.899] (-7498.060) (-7504.412) (-7502.010) -- 0:11:34
523000 -- (-7508.503) (-7496.127) [-7500.390] (-7512.870) * (-7500.377) (-7499.570) [-7502.111] (-7508.787) -- 0:11:32
524000 -- (-7500.624) [-7496.885] (-7501.982) (-7535.598) * (-7503.279) [-7493.085] (-7490.637) (-7498.901) -- 0:11:31
525000 -- (-7499.067) (-7515.668) (-7507.252) [-7505.560] * [-7500.469] (-7496.231) (-7492.785) (-7503.834) -- 0:11:29
Average standard deviation of split frequencies: 0.003780
526000 -- (-7506.526) (-7524.051) [-7494.068] (-7504.369) * (-7483.481) (-7508.953) [-7493.571] (-7502.727) -- 0:11:27
527000 -- (-7507.705) (-7511.164) (-7501.816) [-7492.552] * [-7493.686] (-7513.403) (-7508.860) (-7514.235) -- 0:11:26
528000 -- (-7507.526) [-7508.274] (-7505.299) (-7488.283) * (-7502.316) (-7515.144) [-7493.083] (-7508.591) -- 0:11:24
529000 -- (-7504.051) (-7501.825) (-7513.684) [-7505.940] * (-7505.918) (-7505.609) [-7492.178] (-7500.364) -- 0:11:23
530000 -- (-7500.995) (-7501.462) (-7514.226) [-7497.142] * [-7494.258] (-7508.823) (-7499.253) (-7516.664) -- 0:11:21
Average standard deviation of split frequencies: 0.003392
531000 -- (-7511.139) (-7508.080) [-7498.274] (-7508.680) * [-7486.234] (-7506.884) (-7502.260) (-7516.888) -- 0:11:20
532000 -- (-7502.236) [-7496.319] (-7524.712) (-7506.689) * (-7512.557) (-7499.206) (-7498.203) [-7494.546] -- 0:11:19
533000 -- (-7500.584) (-7501.345) (-7528.799) [-7511.960] * [-7496.827] (-7507.250) (-7502.599) (-7489.784) -- 0:11:18
534000 -- (-7504.536) [-7497.572] (-7519.456) (-7501.686) * (-7487.053) (-7505.715) (-7516.359) [-7488.457] -- 0:11:16
535000 -- (-7499.853) (-7489.240) (-7516.245) [-7487.870] * (-7508.819) (-7518.482) (-7529.883) [-7500.095] -- 0:11:14
Average standard deviation of split frequencies: 0.003238
536000 -- (-7507.762) [-7485.433] (-7509.014) (-7497.686) * [-7494.327] (-7516.997) (-7514.222) (-7510.723) -- 0:11:13
537000 -- (-7508.289) (-7488.730) (-7505.160) [-7488.133] * [-7483.685] (-7515.881) (-7500.823) (-7522.271) -- 0:11:11
538000 -- (-7495.589) [-7499.606] (-7502.681) (-7485.742) * [-7498.037] (-7507.747) (-7500.347) (-7510.489) -- 0:11:10
539000 -- (-7519.081) [-7509.495] (-7519.177) (-7498.656) * (-7508.930) (-7513.138) [-7498.131] (-7499.435) -- 0:11:08
540000 -- (-7535.453) (-7494.835) (-7500.468) [-7492.221] * (-7501.801) (-7515.160) (-7506.182) [-7488.703] -- 0:11:07
Average standard deviation of split frequencies: 0.003408
541000 -- (-7515.554) [-7487.240] (-7506.825) (-7518.795) * [-7489.243] (-7504.683) (-7510.766) (-7501.752) -- 0:11:06
542000 -- (-7510.429) [-7490.468] (-7507.044) (-7505.468) * (-7503.803) (-7493.632) (-7502.747) [-7495.284] -- 0:11:05
543000 -- (-7522.790) [-7493.879] (-7480.254) (-7503.282) * (-7503.138) [-7487.901] (-7494.983) (-7491.229) -- 0:11:03
544000 -- (-7514.730) [-7487.278] (-7504.915) (-7515.470) * [-7505.623] (-7507.702) (-7511.741) (-7494.482) -- 0:11:02
545000 -- (-7512.136) (-7512.977) [-7485.876] (-7504.787) * (-7506.384) (-7513.554) (-7518.958) [-7488.684] -- 0:11:00
Average standard deviation of split frequencies: 0.003728
546000 -- [-7505.565] (-7504.592) (-7496.009) (-7515.132) * (-7518.684) [-7495.566] (-7497.521) (-7498.098) -- 0:10:59
547000 -- (-7501.015) (-7503.373) [-7490.581] (-7503.546) * (-7503.546) (-7502.930) (-7498.522) [-7500.397] -- 0:10:57
548000 -- (-7513.813) (-7500.574) (-7510.982) [-7488.977] * [-7496.017] (-7508.426) (-7496.014) (-7495.092) -- 0:10:56
549000 -- (-7499.723) (-7492.957) [-7504.540] (-7501.185) * (-7502.702) (-7506.757) [-7499.504] (-7509.492) -- 0:10:54
550000 -- (-7512.705) (-7492.789) [-7503.411] (-7509.269) * (-7502.392) (-7520.688) (-7510.358) [-7498.896] -- 0:10:52
Average standard deviation of split frequencies: 0.003969
551000 -- (-7502.545) (-7504.184) [-7489.665] (-7510.212) * (-7499.506) [-7483.306] (-7509.070) (-7506.233) -- 0:10:51
552000 -- (-7510.087) (-7504.540) [-7494.120] (-7488.025) * (-7498.291) (-7512.163) (-7502.152) [-7499.845] -- 0:10:50
553000 -- (-7493.929) (-7505.400) (-7497.389) [-7491.222] * [-7501.466] (-7513.076) (-7493.184) (-7499.560) -- 0:10:49
554000 -- (-7505.941) [-7493.932] (-7511.530) (-7489.969) * (-7514.124) (-7516.869) [-7490.928] (-7528.101) -- 0:10:47
555000 -- (-7510.775) (-7514.662) (-7512.224) [-7496.652] * (-7519.186) [-7494.948] (-7502.309) (-7503.162) -- 0:10:46
Average standard deviation of split frequencies: 0.004085
556000 -- (-7501.598) (-7503.471) (-7508.718) [-7498.938] * (-7518.036) [-7497.309] (-7499.590) (-7503.414) -- 0:10:44
557000 -- (-7493.091) [-7497.472] (-7509.896) (-7495.620) * (-7498.294) (-7509.465) (-7517.164) [-7495.799] -- 0:10:43
558000 -- (-7506.220) [-7500.113] (-7502.677) (-7500.086) * (-7508.650) [-7491.714] (-7506.544) (-7496.072) -- 0:10:41
559000 -- [-7490.685] (-7499.020) (-7507.711) (-7500.051) * (-7487.686) (-7504.866) (-7492.008) [-7492.243] -- 0:10:39
560000 -- (-7515.789) (-7524.561) [-7481.998] (-7512.842) * [-7490.692] (-7496.576) (-7497.567) (-7498.780) -- 0:10:38
Average standard deviation of split frequencies: 0.003898
561000 -- (-7510.689) (-7507.472) [-7480.610] (-7504.571) * (-7493.018) [-7495.834] (-7520.276) (-7500.618) -- 0:10:36
562000 -- (-7510.899) (-7508.913) [-7488.803] (-7502.878) * (-7500.962) [-7512.304] (-7513.972) (-7507.665) -- 0:10:35
563000 -- (-7507.159) (-7516.135) [-7492.839] (-7512.417) * [-7483.984] (-7508.120) (-7503.047) (-7513.793) -- 0:10:34
564000 -- (-7512.275) (-7510.596) [-7499.361] (-7510.054) * (-7486.497) (-7501.899) [-7501.136] (-7507.369) -- 0:10:32
565000 -- (-7533.752) (-7508.273) [-7488.878] (-7504.427) * (-7509.949) (-7498.950) (-7518.594) [-7489.812] -- 0:10:31
Average standard deviation of split frequencies: 0.003983
566000 -- [-7509.671] (-7508.612) (-7488.445) (-7516.080) * (-7494.107) (-7496.874) (-7501.134) [-7501.139] -- 0:10:29
567000 -- (-7496.914) [-7498.891] (-7509.541) (-7510.230) * [-7489.550] (-7497.209) (-7505.556) (-7508.370) -- 0:10:28
568000 -- (-7488.255) [-7494.147] (-7494.617) (-7487.347) * (-7486.886) (-7500.454) [-7481.603] (-7502.406) -- 0:10:26
569000 -- (-7506.724) (-7502.064) (-7512.557) [-7494.694] * (-7493.151) (-7510.907) (-7499.217) [-7505.919] -- 0:10:25
570000 -- (-7506.982) (-7508.758) (-7495.727) [-7486.444] * (-7497.622) (-7509.746) [-7487.191] (-7516.807) -- 0:10:23
Average standard deviation of split frequencies: 0.003951
571000 -- (-7505.917) [-7486.489] (-7515.142) (-7497.992) * (-7513.764) (-7504.360) (-7511.336) [-7500.811] -- 0:10:22
572000 -- (-7504.586) (-7497.449) (-7514.123) [-7500.299] * (-7502.567) [-7499.416] (-7512.903) (-7512.228) -- 0:10:21
573000 -- (-7520.258) (-7508.742) (-7508.325) [-7506.408] * (-7507.550) (-7497.952) (-7521.276) [-7495.548] -- 0:10:19
574000 -- (-7521.374) [-7505.191] (-7510.926) (-7501.588) * (-7517.772) (-7507.794) (-7502.259) [-7507.979] -- 0:10:18
575000 -- (-7511.559) [-7505.998] (-7493.532) (-7500.428) * (-7501.982) (-7521.975) (-7500.258) [-7495.768] -- 0:10:16
Average standard deviation of split frequencies: 0.003772
576000 -- (-7510.366) (-7530.689) [-7505.852] (-7512.922) * [-7494.035] (-7516.131) (-7525.946) (-7509.703) -- 0:10:14
577000 -- (-7521.662) [-7497.276] (-7514.338) (-7508.676) * (-7500.765) (-7506.801) (-7512.922) [-7485.515] -- 0:10:13
578000 -- (-7515.709) [-7480.748] (-7507.858) (-7514.033) * (-7507.840) (-7506.293) (-7504.664) [-7503.035] -- 0:10:11
579000 -- (-7500.299) [-7490.962] (-7497.976) (-7518.271) * (-7498.932) (-7503.910) (-7512.512) [-7495.613] -- 0:10:10
580000 -- (-7497.405) (-7489.001) [-7487.133] (-7504.615) * [-7489.482] (-7507.408) (-7505.564) (-7504.734) -- 0:10:09
Average standard deviation of split frequencies: 0.003953
581000 -- (-7512.859) [-7492.855] (-7504.357) (-7531.143) * [-7486.655] (-7505.008) (-7508.210) (-7521.484) -- 0:10:07
582000 -- (-7484.428) [-7513.021] (-7506.186) (-7518.533) * (-7490.511) (-7500.336) (-7497.340) [-7491.771] -- 0:10:06
583000 -- [-7487.574] (-7496.879) (-7509.007) (-7524.122) * (-7512.797) (-7497.217) (-7500.571) [-7487.610] -- 0:10:04
584000 -- (-7492.490) (-7494.859) [-7491.990] (-7523.992) * (-7510.261) (-7507.047) [-7497.780] (-7491.229) -- 0:10:03
585000 -- [-7492.847] (-7497.782) (-7495.787) (-7523.610) * (-7503.046) (-7518.908) (-7498.315) [-7490.664] -- 0:10:01
Average standard deviation of split frequencies: 0.003882
586000 -- (-7497.702) (-7516.817) [-7500.463] (-7515.891) * (-7496.834) (-7516.754) [-7491.057] (-7502.966) -- 0:10:00
587000 -- (-7509.794) (-7511.999) [-7490.223] (-7514.713) * (-7497.322) (-7518.696) [-7484.327] (-7512.430) -- 0:09:58
588000 -- (-7510.259) (-7511.190) [-7498.660] (-7510.775) * (-7496.505) (-7501.302) [-7499.190] (-7502.368) -- 0:09:57
589000 -- (-7504.196) (-7492.146) [-7496.442] (-7508.954) * (-7507.429) (-7503.306) [-7507.984] (-7517.202) -- 0:09:55
590000 -- (-7521.462) (-7501.018) [-7494.521] (-7511.184) * (-7522.636) (-7496.186) [-7495.157] (-7509.174) -- 0:09:54
Average standard deviation of split frequencies: 0.004060
591000 -- (-7521.561) (-7498.480) [-7487.276] (-7511.146) * (-7506.665) (-7512.540) (-7514.435) [-7496.623] -- 0:09:53
592000 -- (-7527.199) (-7502.356) [-7493.393] (-7496.880) * (-7506.506) [-7492.074] (-7515.931) (-7514.841) -- 0:09:51
593000 -- (-7511.622) (-7507.490) (-7493.265) [-7505.153] * (-7507.358) [-7501.279] (-7508.661) (-7503.254) -- 0:09:50
594000 -- (-7517.554) [-7502.883] (-7505.416) (-7502.950) * (-7523.346) (-7493.239) (-7495.650) [-7493.275] -- 0:09:48
595000 -- (-7505.729) [-7493.925] (-7510.121) (-7500.065) * (-7505.837) [-7485.496] (-7506.823) (-7499.763) -- 0:09:47
Average standard deviation of split frequencies: 0.004024
596000 -- (-7513.905) (-7502.471) (-7496.978) [-7490.266] * [-7491.446] (-7499.991) (-7519.454) (-7502.137) -- 0:09:45
597000 -- (-7524.975) (-7494.990) (-7494.708) [-7507.764] * (-7507.729) (-7524.323) [-7509.963] (-7496.119) -- 0:09:44
598000 -- (-7508.169) [-7498.749] (-7497.939) (-7518.121) * [-7491.420] (-7495.116) (-7501.039) (-7508.898) -- 0:09:42
599000 -- (-7523.746) [-7485.955] (-7496.711) (-7501.962) * (-7514.260) (-7517.651) (-7502.389) [-7494.650] -- 0:09:41
600000 -- (-7501.780) [-7496.187] (-7499.750) (-7520.616) * (-7499.876) (-7512.148) (-7486.877) [-7494.707] -- 0:09:40
Average standard deviation of split frequencies: 0.003888
601000 -- (-7507.821) (-7502.385) [-7493.643] (-7509.401) * (-7496.515) (-7509.516) (-7492.528) [-7502.605] -- 0:09:38
602000 -- (-7514.928) (-7507.802) [-7498.299] (-7503.545) * (-7514.219) (-7505.092) [-7493.292] (-7493.777) -- 0:09:37
603000 -- [-7493.295] (-7516.652) (-7504.102) (-7503.292) * (-7495.803) (-7500.200) (-7487.310) [-7494.273] -- 0:09:36
604000 -- [-7494.536] (-7496.911) (-7503.208) (-7505.399) * [-7498.064] (-7509.776) (-7494.220) (-7495.972) -- 0:09:34
605000 -- (-7490.561) (-7492.649) [-7501.567] (-7519.983) * (-7505.749) (-7503.897) [-7496.109] (-7506.653) -- 0:09:32
Average standard deviation of split frequencies: 0.004126
606000 -- [-7504.172] (-7495.324) (-7501.215) (-7520.665) * [-7493.076] (-7507.487) (-7519.665) (-7494.750) -- 0:09:31
607000 -- (-7497.483) (-7498.188) [-7495.504] (-7527.179) * (-7488.675) (-7500.055) [-7495.884] (-7494.165) -- 0:09:29
608000 -- (-7514.670) (-7515.030) [-7500.959] (-7510.526) * [-7484.409] (-7501.701) (-7508.525) (-7501.910) -- 0:09:28
609000 -- (-7498.920) [-7503.455] (-7514.579) (-7509.147) * (-7511.207) (-7504.258) [-7501.711] (-7492.855) -- 0:09:26
610000 -- [-7488.871] (-7501.670) (-7537.697) (-7503.897) * (-7499.729) (-7521.806) (-7493.622) [-7496.888] -- 0:09:25
Average standard deviation of split frequencies: 0.003649
611000 -- [-7491.824] (-7526.777) (-7510.954) (-7499.440) * (-7503.055) (-7498.415) [-7486.681] (-7510.148) -- 0:09:24
612000 -- (-7489.545) (-7508.145) [-7498.028] (-7505.206) * (-7513.069) (-7506.149) [-7499.349] (-7516.517) -- 0:09:22
613000 -- (-7489.585) (-7504.424) [-7493.263] (-7515.145) * (-7502.236) (-7514.920) [-7498.191] (-7516.274) -- 0:09:21
614000 -- (-7500.845) (-7500.711) (-7496.862) [-7499.360] * (-7501.485) (-7507.603) [-7498.180] (-7494.488) -- 0:09:19
615000 -- (-7505.151) (-7491.265) (-7512.141) [-7496.027] * [-7502.082] (-7508.312) (-7507.224) (-7499.555) -- 0:09:18
Average standard deviation of split frequencies: 0.003792
616000 -- (-7502.802) (-7490.562) (-7509.516) [-7495.045] * (-7500.728) [-7498.439] (-7508.135) (-7496.602) -- 0:09:16
617000 -- (-7508.150) (-7495.932) (-7506.697) [-7485.469] * (-7494.905) [-7486.679] (-7499.753) (-7513.046) -- 0:09:15
618000 -- (-7503.231) [-7501.504] (-7510.637) (-7508.274) * (-7507.013) [-7505.146] (-7511.057) (-7516.747) -- 0:09:13
619000 -- (-7501.415) (-7504.911) (-7500.656) [-7484.422] * (-7499.390) (-7516.560) [-7503.057] (-7511.558) -- 0:09:12
620000 -- [-7490.714] (-7498.747) (-7514.599) (-7493.852) * (-7494.398) (-7511.332) [-7496.790] (-7526.714) -- 0:09:11
Average standard deviation of split frequencies: 0.003936
621000 -- (-7510.019) (-7507.769) (-7496.664) [-7493.894] * [-7489.418] (-7508.115) (-7502.841) (-7541.465) -- 0:09:09
622000 -- (-7522.286) (-7495.615) [-7490.972] (-7496.469) * (-7532.916) [-7501.409] (-7501.641) (-7521.153) -- 0:09:08
623000 -- (-7497.616) (-7498.679) (-7503.323) [-7503.611] * [-7492.816] (-7506.970) (-7505.709) (-7507.080) -- 0:09:06
624000 -- (-7519.816) [-7491.937] (-7519.829) (-7497.883) * (-7492.390) [-7496.694] (-7500.864) (-7515.942) -- 0:09:04
625000 -- (-7525.930) [-7501.167] (-7510.420) (-7503.117) * (-7494.363) (-7521.712) [-7494.285] (-7529.777) -- 0:09:03
Average standard deviation of split frequencies: 0.004191
626000 -- (-7510.815) (-7500.919) (-7504.851) [-7496.109] * (-7491.972) (-7506.962) (-7518.847) [-7497.474] -- 0:09:01
627000 -- (-7504.524) (-7509.209) [-7497.849] (-7515.443) * (-7493.777) (-7495.934) (-7499.845) [-7507.744] -- 0:09:00
628000 -- [-7498.216] (-7528.385) (-7496.326) (-7524.664) * (-7503.937) (-7504.224) (-7498.456) [-7510.530] -- 0:08:59
629000 -- (-7509.987) (-7513.760) [-7497.636] (-7509.558) * [-7493.131] (-7501.961) (-7495.773) (-7507.637) -- 0:08:57
630000 -- (-7503.701) (-7524.131) [-7485.947] (-7503.767) * [-7485.995] (-7517.166) (-7498.870) (-7506.366) -- 0:08:56
Average standard deviation of split frequencies: 0.003975
631000 -- (-7518.142) (-7515.324) [-7490.656] (-7493.266) * [-7480.917] (-7508.600) (-7526.427) (-7507.043) -- 0:08:54
632000 -- (-7502.492) (-7519.871) [-7504.049] (-7499.001) * [-7500.393] (-7510.107) (-7507.601) (-7502.208) -- 0:08:53
633000 -- (-7503.560) (-7529.612) [-7501.994] (-7496.282) * [-7484.338] (-7500.013) (-7496.742) (-7506.451) -- 0:08:51
634000 -- (-7501.934) (-7525.487) [-7497.644] (-7501.538) * (-7500.592) (-7501.193) (-7529.189) [-7500.754] -- 0:08:49
635000 -- (-7509.778) [-7490.592] (-7516.941) (-7509.326) * [-7496.691] (-7504.723) (-7512.682) (-7524.058) -- 0:08:48
Average standard deviation of split frequencies: 0.003874
636000 -- (-7505.233) [-7491.527] (-7504.916) (-7506.388) * [-7495.137] (-7515.664) (-7505.697) (-7513.460) -- 0:08:47
637000 -- [-7514.014] (-7485.563) (-7506.157) (-7515.370) * (-7497.302) (-7502.659) [-7503.743] (-7512.163) -- 0:08:45
638000 -- (-7531.749) (-7494.875) [-7519.351] (-7512.989) * (-7495.602) (-7509.818) (-7504.629) [-7496.487] -- 0:08:44
639000 -- (-7510.010) (-7506.990) [-7498.210] (-7511.414) * [-7493.066] (-7505.968) (-7506.478) (-7507.750) -- 0:08:43
640000 -- (-7501.050) [-7501.919] (-7515.820) (-7493.444) * (-7496.573) (-7504.162) [-7508.380] (-7502.925) -- 0:08:41
Average standard deviation of split frequencies: 0.003512
641000 -- (-7497.662) (-7515.235) (-7505.806) [-7510.187] * (-7498.881) [-7482.373] (-7510.671) (-7512.172) -- 0:08:39
642000 -- (-7505.922) (-7505.549) (-7511.503) [-7498.118] * [-7505.622] (-7492.289) (-7524.153) (-7507.687) -- 0:08:38
643000 -- (-7505.958) (-7498.373) [-7499.167] (-7499.751) * [-7492.748] (-7514.939) (-7509.489) (-7508.499) -- 0:08:36
644000 -- [-7499.280] (-7497.039) (-7521.254) (-7494.039) * (-7497.988) (-7514.059) (-7503.184) [-7508.546] -- 0:08:35
645000 -- [-7495.079] (-7504.445) (-7511.585) (-7529.153) * (-7509.050) (-7502.844) [-7494.745] (-7511.392) -- 0:08:34
Average standard deviation of split frequencies: 0.003516
646000 -- (-7498.016) (-7501.629) [-7490.896] (-7509.453) * (-7510.785) (-7508.141) (-7499.943) [-7491.725] -- 0:08:32
647000 -- [-7494.880] (-7505.687) (-7492.536) (-7525.039) * (-7497.310) [-7500.152] (-7493.689) (-7505.224) -- 0:08:31
648000 -- (-7514.400) [-7498.179] (-7512.205) (-7513.759) * (-7497.366) [-7499.935] (-7509.125) (-7507.239) -- 0:08:29
649000 -- (-7504.356) (-7515.190) [-7499.624] (-7508.558) * (-7505.116) (-7508.150) [-7497.848] (-7503.097) -- 0:08:28
650000 -- [-7480.979] (-7517.848) (-7514.360) (-7498.816) * [-7498.562] (-7505.727) (-7486.796) (-7492.402) -- 0:08:26
Average standard deviation of split frequencies: 0.003721
651000 -- [-7482.604] (-7520.816) (-7502.774) (-7500.615) * (-7502.720) (-7505.395) [-7503.096] (-7487.215) -- 0:08:25
652000 -- (-7493.971) (-7510.370) [-7498.401] (-7500.021) * (-7500.251) (-7506.268) [-7487.799] (-7501.617) -- 0:08:23
653000 -- [-7494.422] (-7512.559) (-7495.693) (-7499.445) * (-7502.375) [-7503.701] (-7494.340) (-7509.195) -- 0:08:22
654000 -- (-7507.980) [-7510.124] (-7510.093) (-7490.915) * (-7504.547) [-7507.274] (-7515.321) (-7503.821) -- 0:08:21
655000 -- [-7495.622] (-7496.256) (-7504.173) (-7491.361) * (-7516.398) (-7511.396) (-7497.643) [-7489.931] -- 0:08:19
Average standard deviation of split frequencies: 0.003952
656000 -- (-7490.914) [-7499.220] (-7490.354) (-7510.090) * (-7519.174) (-7497.569) (-7525.370) [-7496.016] -- 0:08:18
657000 -- (-7500.158) (-7502.881) [-7492.183] (-7502.381) * (-7517.854) [-7501.566] (-7511.363) (-7505.911) -- 0:08:16
658000 -- (-7496.856) (-7514.480) [-7495.991] (-7499.044) * (-7504.844) (-7499.987) (-7506.150) [-7492.069] -- 0:08:15
659000 -- (-7503.153) (-7499.414) (-7502.894) [-7505.801] * [-7501.120] (-7526.231) (-7501.943) (-7494.434) -- 0:08:13
660000 -- (-7523.235) (-7508.856) [-7493.922] (-7497.038) * [-7496.096] (-7511.022) (-7504.393) (-7509.410) -- 0:08:11
Average standard deviation of split frequencies: 0.004054
661000 -- (-7498.454) (-7512.971) [-7500.190] (-7497.062) * [-7495.067] (-7517.508) (-7525.207) (-7497.259) -- 0:08:10
662000 -- (-7510.934) [-7491.290] (-7524.515) (-7492.241) * (-7508.280) (-7493.179) (-7502.714) [-7499.169] -- 0:08:09
663000 -- (-7506.044) [-7491.415] (-7507.961) (-7509.894) * (-7509.807) (-7499.960) (-7507.878) [-7501.464] -- 0:08:07
664000 -- (-7495.084) [-7503.351] (-7513.245) (-7519.925) * (-7491.595) [-7488.018] (-7506.229) (-7502.748) -- 0:08:06
665000 -- (-7506.353) (-7522.383) (-7516.813) [-7500.327] * [-7490.368] (-7491.077) (-7505.562) (-7517.219) -- 0:08:04
Average standard deviation of split frequencies: 0.004279
666000 -- (-7519.961) (-7502.591) [-7514.892] (-7490.132) * (-7532.320) (-7498.093) (-7492.813) [-7493.754] -- 0:08:03
667000 -- (-7512.376) (-7501.916) [-7498.005] (-7496.978) * (-7507.910) [-7489.297] (-7515.172) (-7501.023) -- 0:08:01
668000 -- (-7502.279) [-7502.086] (-7500.337) (-7521.949) * (-7508.729) [-7497.022] (-7495.071) (-7512.420) -- 0:08:00
669000 -- (-7506.519) (-7502.684) [-7490.824] (-7505.477) * (-7513.877) (-7521.423) (-7512.187) [-7488.950] -- 0:07:58
670000 -- (-7510.176) [-7493.436] (-7495.463) (-7518.341) * (-7498.299) (-7491.537) [-7495.944] (-7492.778) -- 0:07:57
Average standard deviation of split frequencies: 0.004249
671000 -- (-7508.944) (-7519.049) (-7503.576) [-7502.527] * (-7500.452) (-7511.057) [-7499.997] (-7501.796) -- 0:07:56
672000 -- [-7497.131] (-7515.123) (-7509.085) (-7504.468) * [-7500.187] (-7504.848) (-7512.656) (-7501.261) -- 0:07:54
673000 -- (-7507.513) (-7522.945) (-7514.275) [-7501.077] * (-7494.855) [-7498.761] (-7497.592) (-7496.529) -- 0:07:53
674000 -- (-7498.905) [-7496.489] (-7497.477) (-7503.876) * (-7496.464) (-7509.396) (-7526.288) [-7497.365] -- 0:07:51
675000 -- [-7504.548] (-7503.116) (-7498.445) (-7508.358) * (-7507.543) (-7500.391) [-7509.239] (-7485.344) -- 0:07:49
Average standard deviation of split frequencies: 0.004406
676000 -- (-7504.213) (-7505.389) [-7486.866] (-7514.365) * (-7504.335) (-7510.960) [-7490.820] (-7497.786) -- 0:07:48
677000 -- (-7508.458) (-7508.427) [-7493.831] (-7515.124) * [-7496.699] (-7513.003) (-7504.032) (-7502.521) -- 0:07:47
678000 -- (-7497.861) (-7520.696) (-7517.068) [-7494.958] * (-7500.307) (-7493.845) (-7500.471) [-7494.461] -- 0:07:45
679000 -- (-7496.245) [-7495.112] (-7509.424) (-7502.941) * [-7501.669] (-7509.544) (-7514.925) (-7503.088) -- 0:07:44
680000 -- (-7511.386) [-7500.696] (-7512.068) (-7518.124) * [-7488.478] (-7495.931) (-7509.220) (-7515.060) -- 0:07:43
Average standard deviation of split frequencies: 0.004848
681000 -- (-7502.816) (-7508.007) (-7496.910) [-7497.410] * [-7480.936] (-7508.075) (-7514.704) (-7507.001) -- 0:07:41
682000 -- [-7493.280] (-7517.883) (-7525.807) (-7494.256) * [-7493.191] (-7522.583) (-7523.399) (-7496.859) -- 0:07:39
683000 -- [-7493.598] (-7503.196) (-7507.423) (-7513.246) * (-7492.448) [-7493.832] (-7505.922) (-7498.705) -- 0:07:38
684000 -- [-7489.194] (-7514.929) (-7492.602) (-7503.593) * [-7502.043] (-7500.299) (-7516.995) (-7492.996) -- 0:07:36
685000 -- (-7491.938) (-7504.572) [-7493.471] (-7498.716) * [-7495.164] (-7503.694) (-7507.934) (-7495.245) -- 0:07:35
Average standard deviation of split frequencies: 0.004691
686000 -- (-7514.508) (-7497.137) [-7488.985] (-7505.801) * (-7495.812) (-7496.736) (-7507.114) [-7499.545] -- 0:07:34
687000 -- (-7494.781) (-7509.458) (-7499.651) [-7497.025] * (-7509.736) (-7499.397) [-7499.773] (-7505.186) -- 0:07:32
688000 -- (-7507.216) (-7520.722) (-7515.628) [-7491.985] * (-7493.097) (-7496.121) (-7513.344) [-7501.743] -- 0:07:31
689000 -- [-7498.006] (-7518.964) (-7515.762) (-7491.726) * (-7506.910) [-7498.849] (-7522.474) (-7504.124) -- 0:07:30
690000 -- (-7502.379) (-7506.856) [-7488.034] (-7496.176) * (-7507.705) [-7490.736] (-7518.308) (-7500.333) -- 0:07:28
Average standard deviation of split frequencies: 0.004718
691000 -- (-7499.062) (-7517.797) [-7485.798] (-7508.706) * (-7519.817) (-7514.789) [-7502.472] (-7500.616) -- 0:07:27
692000 -- (-7506.347) (-7498.737) (-7493.358) [-7501.304] * (-7503.606) (-7519.324) [-7491.855] (-7501.395) -- 0:07:25
693000 -- [-7496.857] (-7493.543) (-7505.269) (-7508.807) * (-7516.656) (-7521.102) [-7486.668] (-7500.110) -- 0:07:23
694000 -- [-7490.792] (-7505.480) (-7505.071) (-7519.165) * [-7501.348] (-7508.294) (-7496.668) (-7497.292) -- 0:07:22
695000 -- (-7492.330) (-7532.072) [-7517.027] (-7504.064) * (-7495.219) (-7506.527) (-7494.947) [-7499.179] -- 0:07:21
Average standard deviation of split frequencies: 0.004587
696000 -- [-7498.284] (-7514.584) (-7552.089) (-7510.823) * (-7493.622) (-7509.313) [-7483.084] (-7506.872) -- 0:07:19
697000 -- [-7495.841] (-7500.862) (-7526.619) (-7507.356) * (-7494.417) (-7502.495) [-7489.734] (-7508.049) -- 0:07:18
698000 -- (-7502.289) (-7516.142) [-7507.883] (-7529.187) * (-7495.833) (-7515.076) [-7489.727] (-7515.226) -- 0:07:16
699000 -- (-7510.230) (-7526.550) (-7493.281) [-7519.970] * (-7506.998) (-7521.840) [-7487.316] (-7515.609) -- 0:07:15
700000 -- [-7495.221] (-7518.499) (-7511.732) (-7519.647) * (-7517.204) (-7506.974) (-7502.443) [-7486.010] -- 0:07:14
Average standard deviation of split frequencies: 0.005090
701000 -- (-7494.367) (-7508.380) (-7518.889) [-7499.378] * (-7512.841) (-7514.881) [-7497.563] (-7493.970) -- 0:07:12
702000 -- [-7501.061] (-7514.849) (-7504.983) (-7499.482) * [-7494.400] (-7501.000) (-7495.221) (-7507.182) -- 0:07:10
703000 -- (-7518.269) (-7507.265) [-7488.629] (-7495.243) * (-7499.099) [-7489.488] (-7497.036) (-7501.496) -- 0:07:09
704000 -- (-7507.803) (-7514.009) [-7495.232] (-7501.077) * (-7517.971) (-7498.402) (-7517.262) [-7480.145] -- 0:07:08
705000 -- (-7496.514) (-7515.133) (-7490.038) [-7494.523] * [-7492.967] (-7504.661) (-7493.898) (-7495.879) -- 0:07:06
Average standard deviation of split frequencies: 0.005051
706000 -- (-7490.173) (-7517.740) [-7494.390] (-7500.567) * (-7516.033) (-7509.835) (-7487.983) [-7495.405] -- 0:07:05
707000 -- (-7521.875) [-7501.789] (-7494.491) (-7504.707) * (-7509.362) (-7494.267) (-7494.317) [-7500.886] -- 0:07:03
708000 -- (-7516.836) [-7521.265] (-7507.854) (-7486.873) * [-7495.786] (-7496.582) (-7513.051) (-7520.755) -- 0:07:02
709000 -- (-7515.073) (-7505.833) (-7504.659) [-7501.614] * (-7490.651) [-7500.162] (-7521.438) (-7499.726) -- 0:07:00
710000 -- (-7493.183) (-7504.585) [-7488.876] (-7507.928) * [-7503.421] (-7487.732) (-7512.504) (-7518.541) -- 0:06:59
Average standard deviation of split frequencies: 0.004932
711000 -- (-7495.011) (-7512.418) [-7500.999] (-7516.118) * (-7487.779) [-7496.731] (-7524.829) (-7503.133) -- 0:06:57
712000 -- (-7506.005) [-7492.005] (-7510.154) (-7513.912) * (-7495.559) (-7503.807) (-7500.581) [-7493.687] -- 0:06:56
713000 -- [-7502.726] (-7503.822) (-7495.596) (-7506.855) * (-7512.254) (-7489.730) (-7498.859) [-7499.139] -- 0:06:55
714000 -- [-7497.630] (-7509.260) (-7509.226) (-7493.557) * (-7501.409) [-7492.602] (-7511.083) (-7504.301) -- 0:06:53
715000 -- (-7501.011) (-7506.913) (-7502.829) [-7499.512] * (-7506.468) (-7516.933) [-7510.055] (-7492.653) -- 0:06:52
Average standard deviation of split frequencies: 0.005296
716000 -- (-7509.613) (-7523.795) [-7493.116] (-7504.830) * (-7503.764) (-7506.241) (-7505.597) [-7494.229] -- 0:06:50
717000 -- (-7510.079) (-7528.613) (-7500.463) [-7487.063] * [-7500.874] (-7506.529) (-7519.397) (-7510.318) -- 0:06:49
718000 -- (-7512.710) (-7509.998) (-7500.455) [-7498.284] * (-7508.484) (-7505.385) (-7499.842) [-7493.281] -- 0:06:47
719000 -- [-7506.257] (-7512.490) (-7491.612) (-7492.735) * (-7517.638) [-7504.236] (-7504.202) (-7492.431) -- 0:06:46
720000 -- (-7510.843) [-7501.045] (-7490.838) (-7503.441) * (-7507.847) (-7524.438) (-7506.094) [-7494.349] -- 0:06:44
Average standard deviation of split frequencies: 0.005233
721000 -- (-7517.317) (-7501.542) [-7493.170] (-7496.753) * (-7502.165) (-7515.895) [-7495.016] (-7489.181) -- 0:06:43
722000 -- (-7531.409) (-7507.704) [-7493.265] (-7505.690) * [-7505.660] (-7505.571) (-7516.165) (-7488.719) -- 0:06:41
723000 -- (-7520.093) (-7520.229) [-7495.883] (-7515.646) * [-7511.418] (-7504.714) (-7500.843) (-7503.759) -- 0:06:40
724000 -- (-7499.838) (-7505.366) [-7497.328] (-7517.255) * (-7519.244) (-7493.743) [-7492.085] (-7489.322) -- 0:06:38
725000 -- (-7508.237) (-7508.311) [-7495.574] (-7497.724) * (-7514.805) (-7493.024) [-7494.359] (-7509.035) -- 0:06:37
Average standard deviation of split frequencies: 0.005110
726000 -- (-7518.374) (-7509.316) (-7503.383) [-7490.660] * (-7503.446) [-7502.243] (-7507.568) (-7508.626) -- 0:06:35
727000 -- (-7504.971) (-7509.762) [-7486.056] (-7500.368) * [-7492.741] (-7493.513) (-7509.181) (-7513.354) -- 0:06:34
728000 -- (-7509.017) [-7507.805] (-7499.365) (-7501.866) * (-7505.355) [-7501.484] (-7502.337) (-7506.607) -- 0:06:33
729000 -- (-7498.881) (-7509.803) [-7502.914] (-7506.338) * (-7496.991) (-7508.184) (-7500.518) [-7490.696] -- 0:06:31
730000 -- (-7497.773) (-7498.924) (-7516.758) [-7493.704] * [-7506.551] (-7508.670) (-7513.065) (-7491.965) -- 0:06:30
Average standard deviation of split frequencies: 0.004488
731000 -- (-7499.585) [-7498.761] (-7501.739) (-7510.607) * (-7496.565) (-7511.835) (-7504.683) [-7491.271] -- 0:06:28
732000 -- [-7495.771] (-7501.666) (-7508.533) (-7504.188) * [-7489.795] (-7510.257) (-7508.527) (-7486.556) -- 0:06:27
733000 -- (-7483.721) [-7492.735] (-7507.948) (-7510.462) * [-7495.058] (-7516.965) (-7508.286) (-7510.123) -- 0:06:25
734000 -- (-7506.598) (-7493.684) [-7492.950] (-7508.211) * [-7488.442] (-7507.592) (-7493.523) (-7495.847) -- 0:06:24
735000 -- [-7491.446] (-7520.395) (-7484.440) (-7494.744) * [-7490.226] (-7501.810) (-7496.818) (-7523.665) -- 0:06:22
Average standard deviation of split frequencies: 0.004149
736000 -- (-7488.626) (-7498.552) (-7502.322) [-7496.721] * [-7497.617] (-7515.597) (-7502.359) (-7506.520) -- 0:06:21
737000 -- (-7495.363) (-7513.281) (-7507.990) [-7485.031] * [-7506.802] (-7501.841) (-7507.358) (-7509.081) -- 0:06:20
738000 -- (-7500.487) (-7518.012) [-7503.085] (-7510.742) * (-7506.224) [-7492.197] (-7493.070) (-7509.149) -- 0:06:18
739000 -- (-7517.485) (-7514.510) (-7505.267) [-7494.479] * [-7500.791] (-7502.372) (-7506.371) (-7514.347) -- 0:06:17
740000 -- (-7523.638) (-7500.499) (-7509.380) [-7503.949] * [-7502.836] (-7498.000) (-7501.370) (-7512.288) -- 0:06:15
Average standard deviation of split frequencies: 0.004040
741000 -- (-7499.752) [-7489.163] (-7499.293) (-7524.436) * (-7508.269) (-7498.414) [-7487.574] (-7510.442) -- 0:06:14
742000 -- (-7500.670) [-7506.894] (-7486.470) (-7512.204) * (-7512.673) (-7510.495) (-7504.138) [-7491.674] -- 0:06:12
743000 -- (-7505.435) (-7497.661) [-7484.735] (-7517.040) * (-7513.202) (-7497.290) [-7481.841] (-7489.600) -- 0:06:11
744000 -- (-7499.843) [-7502.403] (-7501.040) (-7499.908) * (-7501.899) (-7498.841) (-7505.965) [-7495.692] -- 0:06:09
745000 -- (-7493.507) (-7505.897) [-7501.618] (-7501.719) * (-7494.569) [-7494.797] (-7501.956) (-7514.338) -- 0:06:08
Average standard deviation of split frequencies: 0.003654
746000 -- (-7512.017) (-7514.082) [-7492.318] (-7499.493) * (-7523.765) [-7492.236] (-7508.423) (-7534.885) -- 0:06:07
747000 -- (-7500.199) [-7497.424] (-7490.174) (-7513.941) * (-7501.955) (-7510.016) [-7510.279] (-7504.157) -- 0:06:05
748000 -- (-7521.988) (-7493.379) [-7482.471] (-7505.915) * [-7502.942] (-7510.944) (-7508.878) (-7494.723) -- 0:06:04
749000 -- (-7506.879) (-7502.345) [-7483.127] (-7498.914) * (-7494.066) (-7515.381) (-7499.820) [-7496.170] -- 0:06:02
750000 -- (-7496.366) (-7498.860) [-7489.531] (-7497.976) * (-7510.567) (-7510.276) [-7492.087] (-7496.687) -- 0:06:01
Average standard deviation of split frequencies: 0.003795
751000 -- (-7496.548) (-7500.773) [-7503.421] (-7500.170) * [-7502.084] (-7512.570) (-7504.953) (-7497.907) -- 0:05:59
752000 -- (-7518.188) (-7517.612) (-7495.025) [-7509.359] * [-7496.732] (-7511.753) (-7493.942) (-7496.995) -- 0:05:58
753000 -- (-7510.793) (-7503.692) (-7505.425) [-7500.707] * (-7532.028) [-7492.771] (-7501.786) (-7507.542) -- 0:05:56
754000 -- (-7520.912) (-7488.583) [-7488.026] (-7509.775) * (-7526.171) (-7486.997) [-7487.962] (-7521.924) -- 0:05:55
755000 -- [-7495.458] (-7517.111) (-7505.768) (-7503.749) * (-7520.957) [-7488.718] (-7518.819) (-7505.821) -- 0:05:54
Average standard deviation of split frequencies: 0.003203
756000 -- (-7511.045) [-7500.605] (-7499.230) (-7504.540) * (-7509.271) (-7504.810) [-7506.387] (-7498.380) -- 0:05:52
757000 -- (-7526.900) (-7513.712) (-7499.329) [-7492.142] * [-7491.293] (-7520.643) (-7497.329) (-7499.437) -- 0:05:51
758000 -- (-7509.699) (-7493.309) (-7509.408) [-7486.008] * (-7498.293) (-7519.632) [-7498.779] (-7508.812) -- 0:05:49
759000 -- (-7500.839) [-7500.021] (-7504.414) (-7499.026) * (-7505.779) (-7511.770) [-7500.985] (-7507.374) -- 0:05:48
760000 -- (-7518.498) (-7518.810) [-7498.358] (-7523.988) * (-7500.678) (-7506.173) [-7488.549] (-7517.306) -- 0:05:46
Average standard deviation of split frequencies: 0.003183
761000 -- (-7490.934) (-7520.672) [-7500.241] (-7492.276) * (-7491.254) (-7493.284) [-7491.917] (-7511.560) -- 0:05:45
762000 -- (-7490.259) (-7518.820) [-7495.633] (-7495.366) * [-7487.385] (-7499.037) (-7492.739) (-7526.299) -- 0:05:43
763000 -- (-7493.702) (-7524.736) [-7496.077] (-7506.246) * (-7498.304) (-7514.383) (-7509.768) [-7494.546] -- 0:05:42
764000 -- (-7510.560) (-7515.608) [-7502.099] (-7497.281) * [-7488.883] (-7501.966) (-7495.800) (-7518.447) -- 0:05:41
765000 -- (-7505.305) (-7508.183) [-7498.743] (-7506.472) * (-7493.157) [-7502.360] (-7511.629) (-7511.772) -- 0:05:39
Average standard deviation of split frequencies: 0.003719
766000 -- (-7507.230) (-7501.984) [-7495.559] (-7502.989) * [-7496.358] (-7488.191) (-7497.415) (-7512.796) -- 0:05:37
767000 -- [-7488.880] (-7506.618) (-7511.506) (-7505.159) * (-7494.016) [-7489.499] (-7507.335) (-7491.791) -- 0:05:36
768000 -- [-7496.167] (-7497.800) (-7506.876) (-7519.401) * (-7500.794) (-7499.964) (-7501.221) [-7509.128] -- 0:05:35
769000 -- (-7502.433) [-7498.624] (-7514.134) (-7513.279) * (-7498.580) (-7495.472) [-7500.239] (-7515.555) -- 0:05:33
770000 -- [-7496.008] (-7504.608) (-7513.425) (-7498.593) * (-7494.308) (-7499.286) [-7495.554] (-7520.916) -- 0:05:32
Average standard deviation of split frequencies: 0.003197
771000 -- (-7498.896) [-7490.149] (-7518.746) (-7494.280) * [-7492.331] (-7501.887) (-7495.675) (-7503.116) -- 0:05:30
772000 -- [-7506.448] (-7489.666) (-7517.314) (-7506.705) * (-7502.029) [-7493.424] (-7491.711) (-7531.869) -- 0:05:29
773000 -- (-7497.443) [-7500.771] (-7511.356) (-7499.196) * [-7500.956] (-7495.967) (-7511.182) (-7514.440) -- 0:05:27
774000 -- (-7507.167) [-7496.970] (-7504.135) (-7510.302) * (-7499.766) (-7501.633) [-7498.627] (-7514.111) -- 0:05:26
775000 -- (-7522.069) [-7506.852] (-7512.025) (-7508.240) * (-7505.610) [-7494.812] (-7500.600) (-7514.875) -- 0:05:24
Average standard deviation of split frequencies: 0.002872
776000 -- (-7503.774) (-7502.107) (-7503.611) [-7506.876] * (-7507.203) (-7485.853) [-7501.440] (-7523.079) -- 0:05:23
777000 -- (-7499.206) [-7499.740] (-7504.048) (-7497.950) * (-7522.418) (-7493.243) [-7497.477] (-7513.455) -- 0:05:22
778000 -- (-7500.107) [-7494.061] (-7492.463) (-7503.586) * (-7526.005) (-7506.254) [-7494.793] (-7502.202) -- 0:05:20
779000 -- (-7532.681) (-7509.939) [-7497.202] (-7493.069) * (-7514.637) (-7521.553) (-7487.068) [-7496.190] -- 0:05:19
780000 -- (-7513.227) (-7513.582) [-7504.160] (-7503.820) * (-7517.550) [-7501.292] (-7490.564) (-7494.463) -- 0:05:17
Average standard deviation of split frequencies: 0.002800
781000 -- (-7512.779) (-7536.120) [-7491.639] (-7499.553) * (-7514.010) (-7511.095) (-7503.432) [-7486.836] -- 0:05:16
782000 -- (-7502.623) (-7526.432) (-7515.990) [-7487.793] * (-7498.327) (-7512.494) [-7497.777] (-7516.262) -- 0:05:14
783000 -- [-7500.691] (-7508.933) (-7523.752) (-7511.381) * (-7497.526) (-7493.310) [-7492.780] (-7509.032) -- 0:05:13
784000 -- [-7496.001] (-7497.774) (-7495.353) (-7522.157) * (-7516.782) (-7494.026) (-7490.194) [-7501.149] -- 0:05:11
785000 -- (-7499.864) [-7503.776] (-7515.497) (-7512.362) * (-7521.622) (-7514.282) [-7483.519] (-7498.530) -- 0:05:10
Average standard deviation of split frequencies: 0.002726
786000 -- (-7506.086) (-7509.642) [-7500.175] (-7520.142) * (-7506.852) (-7503.163) (-7493.791) [-7501.984] -- 0:05:09
787000 -- (-7507.305) (-7515.563) [-7492.922] (-7508.331) * (-7494.720) (-7505.550) (-7503.631) [-7492.272] -- 0:05:07
788000 -- (-7529.215) (-7515.234) [-7489.576] (-7504.600) * (-7496.507) (-7511.543) (-7509.273) [-7489.740] -- 0:05:06
789000 -- (-7498.022) (-7508.548) [-7487.545] (-7502.554) * (-7505.695) (-7493.967) [-7494.968] (-7515.740) -- 0:05:04
790000 -- [-7492.937] (-7499.302) (-7501.867) (-7498.555) * (-7517.050) [-7493.704] (-7513.866) (-7514.599) -- 0:05:03
Average standard deviation of split frequencies: 0.002764
791000 -- (-7501.118) (-7514.851) (-7519.448) [-7503.924] * (-7504.852) (-7503.660) (-7506.166) [-7494.033] -- 0:05:01
792000 -- (-7518.814) (-7527.328) (-7519.883) [-7479.147] * (-7494.439) (-7496.193) [-7507.014] (-7502.046) -- 0:05:00
793000 -- [-7502.542] (-7507.460) (-7517.459) (-7495.672) * (-7524.933) [-7490.141] (-7496.414) (-7507.305) -- 0:04:58
794000 -- (-7508.323) (-7506.049) [-7494.262] (-7503.535) * (-7518.179) (-7497.681) (-7493.352) [-7501.781] -- 0:04:57
795000 -- (-7514.677) (-7502.689) (-7494.570) [-7493.562] * (-7520.473) [-7486.062] (-7504.926) (-7503.160) -- 0:04:56
Average standard deviation of split frequencies: 0.002557
796000 -- (-7497.379) [-7499.835] (-7498.273) (-7542.076) * (-7500.935) [-7491.794] (-7501.175) (-7485.058) -- 0:04:54
797000 -- (-7508.793) (-7511.142) [-7491.474] (-7516.955) * (-7510.429) (-7492.935) (-7506.066) [-7494.202] -- 0:04:53
798000 -- (-7497.480) (-7499.977) [-7498.896] (-7504.879) * (-7508.769) (-7495.058) (-7507.805) [-7497.420] -- 0:04:51
799000 -- (-7492.618) (-7507.178) [-7495.408] (-7496.113) * (-7497.628) (-7515.541) (-7510.360) [-7492.591] -- 0:04:50
800000 -- (-7497.355) [-7498.852] (-7497.755) (-7497.707) * (-7515.473) (-7492.398) (-7497.246) [-7494.585] -- 0:04:48
Average standard deviation of split frequencies: 0.002703
801000 -- (-7512.885) (-7502.512) [-7492.275] (-7517.100) * [-7507.183] (-7517.541) (-7504.477) (-7509.673) -- 0:04:47
802000 -- [-7491.183] (-7500.831) (-7496.511) (-7511.404) * [-7493.941] (-7511.749) (-7498.169) (-7503.361) -- 0:04:45
803000 -- [-7496.965] (-7504.172) (-7507.679) (-7506.449) * [-7489.384] (-7510.647) (-7507.422) (-7514.141) -- 0:04:44
804000 -- [-7496.248] (-7514.723) (-7508.197) (-7495.456) * (-7500.866) [-7512.719] (-7500.975) (-7503.993) -- 0:04:43
805000 -- (-7491.787) [-7504.250] (-7492.905) (-7520.751) * (-7488.641) (-7508.693) [-7496.628] (-7491.768) -- 0:04:41
Average standard deviation of split frequencies: 0.002738
806000 -- (-7512.712) [-7492.795] (-7512.833) (-7497.717) * [-7493.330] (-7484.149) (-7505.951) (-7495.964) -- 0:04:39
807000 -- (-7514.282) [-7491.062] (-7508.739) (-7495.341) * (-7514.440) (-7498.254) (-7491.423) [-7490.783] -- 0:04:38
808000 -- (-7500.399) [-7491.624] (-7508.154) (-7507.008) * (-7501.348) (-7489.353) [-7485.571] (-7504.934) -- 0:04:37
809000 -- (-7496.547) (-7500.244) [-7480.705] (-7511.367) * [-7493.850] (-7504.752) (-7501.315) (-7514.735) -- 0:04:35
810000 -- [-7490.407] (-7495.500) (-7511.541) (-7511.072) * (-7518.423) [-7498.629] (-7499.584) (-7515.417) -- 0:04:34
Average standard deviation of split frequencies: 0.002749
811000 -- (-7508.590) [-7498.434] (-7519.110) (-7505.833) * (-7506.403) (-7512.937) (-7504.295) [-7492.124] -- 0:04:32
812000 -- (-7503.543) (-7489.598) (-7510.674) [-7494.244] * (-7505.427) (-7501.140) (-7511.139) [-7502.689] -- 0:04:31
813000 -- (-7511.648) (-7499.163) (-7504.900) [-7496.485] * [-7493.003] (-7498.044) (-7499.669) (-7517.090) -- 0:04:29
814000 -- [-7483.882] (-7516.250) (-7498.407) (-7499.862) * [-7498.006] (-7507.995) (-7516.411) (-7509.037) -- 0:04:28
815000 -- (-7503.287) [-7494.003] (-7500.681) (-7497.492) * (-7501.473) (-7507.773) (-7509.901) [-7501.219] -- 0:04:26
Average standard deviation of split frequencies: 0.002889
816000 -- [-7494.649] (-7496.887) (-7503.504) (-7502.718) * (-7511.283) (-7498.005) (-7516.864) [-7488.072] -- 0:04:25
817000 -- (-7505.120) (-7505.340) (-7510.276) [-7490.376] * (-7508.441) (-7500.509) (-7529.209) [-7497.454] -- 0:04:24
818000 -- (-7491.995) [-7493.325] (-7518.407) (-7494.603) * (-7515.407) (-7508.305) (-7519.437) [-7501.095] -- 0:04:22
819000 -- [-7486.069] (-7516.761) (-7509.215) (-7506.690) * (-7502.417) [-7497.317] (-7525.605) (-7496.754) -- 0:04:21
820000 -- (-7502.012) [-7494.625] (-7503.140) (-7507.320) * (-7500.183) [-7491.046] (-7515.148) (-7510.972) -- 0:04:19
Average standard deviation of split frequencies: 0.003003
821000 -- [-7497.233] (-7496.259) (-7516.706) (-7510.007) * (-7519.350) (-7508.364) [-7502.285] (-7500.988) -- 0:04:18
822000 -- (-7494.941) [-7491.210] (-7513.429) (-7504.768) * [-7499.768] (-7513.033) (-7517.178) (-7496.755) -- 0:04:16
823000 -- (-7510.316) (-7496.799) [-7508.905] (-7513.082) * (-7498.069) (-7493.432) (-7510.069) [-7505.915] -- 0:04:15
824000 -- [-7494.242] (-7504.703) (-7493.793) (-7514.203) * (-7502.601) (-7485.143) [-7500.299] (-7518.738) -- 0:04:13
825000 -- [-7487.800] (-7502.282) (-7493.636) (-7516.676) * (-7520.196) (-7480.685) (-7502.725) [-7497.426] -- 0:04:12
Average standard deviation of split frequencies: 0.002983
826000 -- (-7493.066) (-7503.704) (-7499.960) [-7493.105] * (-7522.259) [-7483.970] (-7499.217) (-7498.330) -- 0:04:11
827000 -- [-7501.342] (-7511.837) (-7515.860) (-7497.297) * (-7499.557) [-7496.673] (-7500.645) (-7499.303) -- 0:04:09
828000 -- [-7513.863] (-7500.236) (-7528.442) (-7497.155) * (-7513.402) [-7489.295] (-7504.036) (-7494.759) -- 0:04:08
829000 -- (-7500.714) (-7511.860) (-7505.394) [-7494.349] * [-7497.641] (-7497.781) (-7511.376) (-7512.242) -- 0:04:06
830000 -- [-7499.150] (-7504.731) (-7517.492) (-7501.933) * (-7510.110) [-7490.736] (-7511.794) (-7497.363) -- 0:04:05
Average standard deviation of split frequencies: 0.003147
831000 -- (-7512.041) (-7489.813) [-7500.293] (-7510.886) * (-7523.087) (-7513.171) (-7511.839) [-7490.607] -- 0:04:03
832000 -- (-7495.369) (-7490.706) (-7507.944) [-7497.551] * [-7501.490] (-7504.386) (-7514.957) (-7500.075) -- 0:04:02
833000 -- (-7509.190) (-7505.094) [-7506.184] (-7509.530) * [-7499.024] (-7524.315) (-7513.739) (-7493.041) -- 0:04:00
834000 -- (-7513.216) [-7496.047] (-7510.931) (-7506.586) * (-7499.935) (-7531.342) [-7507.498] (-7491.694) -- 0:03:59
835000 -- (-7492.550) (-7511.777) [-7503.349] (-7516.640) * (-7508.065) [-7497.496] (-7504.096) (-7498.386) -- 0:03:58
Average standard deviation of split frequencies: 0.003153
836000 -- (-7525.612) (-7525.241) [-7509.164] (-7501.682) * (-7498.172) (-7520.249) [-7504.842] (-7518.624) -- 0:03:56
837000 -- (-7506.316) [-7499.516] (-7519.680) (-7524.172) * (-7498.789) [-7495.455] (-7509.130) (-7499.421) -- 0:03:55
838000 -- [-7509.504] (-7513.082) (-7504.293) (-7525.914) * [-7505.168] (-7526.331) (-7510.590) (-7499.822) -- 0:03:53
839000 -- [-7498.288] (-7512.529) (-7502.042) (-7509.898) * (-7510.927) (-7515.121) [-7507.113] (-7503.273) -- 0:03:52
840000 -- [-7501.293] (-7506.277) (-7501.913) (-7523.133) * (-7493.861) (-7513.414) (-7518.485) [-7487.680] -- 0:03:50
Average standard deviation of split frequencies: 0.003161
841000 -- (-7507.925) [-7506.919] (-7506.152) (-7500.524) * [-7500.244] (-7508.940) (-7510.729) (-7490.920) -- 0:03:49
842000 -- (-7500.785) (-7500.897) [-7500.530] (-7512.612) * (-7498.899) (-7492.555) (-7518.558) [-7500.750] -- 0:03:47
843000 -- (-7503.622) (-7504.350) [-7504.783] (-7526.767) * [-7500.923] (-7500.137) (-7518.603) (-7494.144) -- 0:03:46
844000 -- (-7508.045) [-7503.786] (-7500.569) (-7511.050) * (-7510.739) (-7507.496) (-7523.934) [-7492.287] -- 0:03:44
845000 -- (-7501.300) [-7492.832] (-7502.715) (-7492.708) * (-7493.291) (-7510.859) (-7516.084) [-7486.176] -- 0:03:43
Average standard deviation of split frequencies: 0.003141
846000 -- (-7491.767) [-7487.655] (-7515.202) (-7509.763) * (-7496.544) (-7504.323) (-7513.968) [-7501.806] -- 0:03:42
847000 -- [-7498.396] (-7496.056) (-7522.640) (-7514.156) * (-7497.189) [-7503.359] (-7502.450) (-7506.136) -- 0:03:40
848000 -- [-7506.659] (-7513.972) (-7507.166) (-7514.775) * [-7489.319] (-7489.789) (-7521.458) (-7503.808) -- 0:03:39
849000 -- (-7493.510) (-7507.584) [-7507.283] (-7521.140) * (-7500.277) [-7492.356] (-7510.099) (-7499.888) -- 0:03:37
850000 -- (-7500.632) [-7507.932] (-7498.376) (-7514.340) * (-7511.072) [-7493.123] (-7516.902) (-7495.137) -- 0:03:36
Average standard deviation of split frequencies: 0.003350
851000 -- [-7493.626] (-7502.497) (-7510.163) (-7511.264) * [-7490.473] (-7501.300) (-7492.753) (-7497.902) -- 0:03:34
852000 -- (-7507.192) [-7494.170] (-7517.823) (-7502.997) * (-7502.435) [-7503.039] (-7505.932) (-7497.243) -- 0:03:33
853000 -- [-7496.101] (-7497.882) (-7500.970) (-7504.663) * [-7506.583] (-7505.827) (-7505.251) (-7500.228) -- 0:03:32
854000 -- [-7490.265] (-7491.123) (-7510.615) (-7501.845) * (-7497.763) (-7518.231) [-7495.477] (-7492.150) -- 0:03:30
855000 -- (-7505.976) (-7488.214) (-7513.059) [-7506.239] * (-7521.492) (-7499.457) (-7501.362) [-7497.169] -- 0:03:29
Average standard deviation of split frequencies: 0.003454
856000 -- (-7522.255) [-7494.083] (-7511.911) (-7507.371) * (-7519.839) [-7507.096] (-7499.170) (-7522.805) -- 0:03:27
857000 -- (-7494.440) (-7501.222) (-7515.785) [-7486.823] * (-7529.742) (-7508.109) (-7498.541) [-7496.851] -- 0:03:26
858000 -- [-7491.136] (-7506.364) (-7507.313) (-7513.636) * (-7518.725) [-7496.284] (-7517.222) (-7499.099) -- 0:03:24
859000 -- [-7500.357] (-7511.148) (-7494.336) (-7507.695) * (-7512.459) [-7495.964] (-7504.089) (-7513.447) -- 0:03:23
860000 -- (-7503.304) (-7517.895) [-7508.639] (-7506.872) * (-7485.028) [-7488.832] (-7487.241) (-7516.903) -- 0:03:21
Average standard deviation of split frequencies: 0.003436
861000 -- (-7511.664) (-7509.513) (-7514.448) [-7499.119] * [-7487.058] (-7499.560) (-7494.106) (-7502.502) -- 0:03:20
862000 -- [-7500.130] (-7497.948) (-7500.163) (-7500.881) * [-7493.604] (-7499.527) (-7499.586) (-7509.368) -- 0:03:18
863000 -- (-7496.982) [-7494.001] (-7517.223) (-7491.485) * [-7491.859] (-7486.051) (-7518.151) (-7515.577) -- 0:03:17
864000 -- (-7496.133) (-7496.540) (-7524.209) [-7494.018] * [-7499.477] (-7509.856) (-7493.998) (-7500.271) -- 0:03:16
865000 -- (-7493.080) [-7495.590] (-7511.843) (-7498.221) * [-7496.932] (-7494.851) (-7498.523) (-7489.647) -- 0:03:14
Average standard deviation of split frequencies: 0.003415
866000 -- (-7515.104) [-7484.615] (-7495.947) (-7511.907) * (-7505.667) (-7505.144) (-7486.732) [-7485.456] -- 0:03:13
867000 -- (-7511.853) (-7491.713) [-7493.344] (-7502.446) * (-7500.572) (-7502.598) [-7491.888] (-7507.567) -- 0:03:11
868000 -- (-7514.523) (-7506.979) (-7510.836) [-7504.850] * (-7508.443) (-7498.962) (-7508.891) [-7492.761] -- 0:03:10
869000 -- (-7503.734) [-7496.841] (-7507.691) (-7516.226) * [-7505.335] (-7520.655) (-7499.684) (-7508.136) -- 0:03:08
870000 -- (-7504.846) (-7496.340) [-7489.005] (-7530.816) * (-7499.770) (-7508.444) (-7506.110) [-7496.427] -- 0:03:07
Average standard deviation of split frequencies: 0.003716
871000 -- (-7504.838) (-7501.476) [-7491.240] (-7524.492) * (-7500.374) (-7503.635) [-7493.694] (-7511.500) -- 0:03:06
872000 -- (-7517.447) (-7494.511) (-7505.277) [-7493.606] * [-7492.553] (-7509.583) (-7494.831) (-7511.808) -- 0:03:04
873000 -- (-7522.365) [-7495.315] (-7503.106) (-7495.461) * (-7497.812) (-7507.839) [-7494.586] (-7530.906) -- 0:03:03
874000 -- (-7513.064) (-7499.198) (-7499.195) [-7508.801] * (-7506.871) (-7523.775) [-7496.005] (-7519.742) -- 0:03:01
875000 -- (-7508.839) [-7501.621] (-7491.852) (-7523.657) * (-7510.323) (-7512.087) [-7487.022] (-7517.797) -- 0:03:00
Average standard deviation of split frequencies: 0.003791
876000 -- (-7500.189) [-7492.005] (-7494.751) (-7507.907) * [-7504.620] (-7508.206) (-7501.842) (-7513.903) -- 0:02:58
877000 -- (-7505.627) (-7500.108) [-7504.531] (-7502.176) * (-7516.597) (-7499.496) [-7485.313] (-7488.268) -- 0:02:57
878000 -- (-7503.011) (-7508.517) (-7501.368) [-7492.838] * (-7505.979) (-7505.345) (-7521.467) [-7494.664] -- 0:02:55
879000 -- (-7515.893) [-7492.652] (-7508.545) (-7505.631) * (-7498.787) (-7509.091) (-7522.600) [-7499.658] -- 0:02:54
880000 -- (-7513.725) (-7507.467) (-7502.078) [-7483.559] * [-7510.293] (-7509.893) (-7495.645) (-7501.020) -- 0:02:53
Average standard deviation of split frequencies: 0.004039
881000 -- (-7492.035) (-7497.932) [-7492.792] (-7503.688) * (-7514.047) (-7490.786) [-7498.684] (-7514.123) -- 0:02:51
882000 -- (-7505.799) [-7489.440] (-7500.425) (-7511.802) * (-7506.039) (-7494.504) (-7496.616) [-7500.229] -- 0:02:50
883000 -- [-7501.333] (-7528.261) (-7496.380) (-7509.069) * (-7505.668) (-7495.712) [-7501.451] (-7506.049) -- 0:02:48
884000 -- (-7517.083) (-7510.635) [-7498.639] (-7493.113) * (-7504.102) (-7497.298) [-7499.072] (-7508.624) -- 0:02:47
885000 -- (-7497.573) (-7509.601) [-7501.024] (-7505.974) * (-7486.268) (-7509.292) (-7498.895) [-7489.443] -- 0:02:45
Average standard deviation of split frequencies: 0.003845
886000 -- (-7503.173) [-7501.908] (-7501.022) (-7498.514) * (-7500.606) (-7518.780) [-7499.195] (-7516.492) -- 0:02:44
887000 -- (-7497.169) (-7515.762) [-7490.708] (-7505.131) * [-7489.713] (-7511.174) (-7509.851) (-7500.927) -- 0:02:42
888000 -- (-7517.325) (-7497.875) (-7505.661) [-7501.426] * [-7500.867] (-7504.377) (-7512.391) (-7495.987) -- 0:02:41
889000 -- (-7532.753) [-7484.133] (-7501.801) (-7497.688) * [-7496.313] (-7525.922) (-7496.648) (-7500.336) -- 0:02:40
890000 -- (-7519.639) (-7491.777) [-7500.017] (-7496.308) * [-7500.782] (-7515.595) (-7514.801) (-7496.467) -- 0:02:38
Average standard deviation of split frequencies: 0.004556
891000 -- (-7507.441) (-7508.038) (-7508.631) [-7482.940] * (-7511.390) (-7497.363) (-7496.625) [-7495.874] -- 0:02:37
892000 -- (-7512.121) (-7518.927) (-7521.089) [-7493.837] * (-7515.916) (-7508.666) [-7488.272] (-7501.793) -- 0:02:35
893000 -- (-7507.431) (-7519.597) (-7506.155) [-7493.888] * (-7515.398) (-7501.350) [-7498.809] (-7504.885) -- 0:02:34
894000 -- (-7492.984) (-7523.014) (-7496.500) [-7477.252] * (-7505.575) (-7512.019) (-7500.943) [-7504.361] -- 0:02:32
895000 -- (-7498.193) [-7511.849] (-7503.196) (-7501.139) * [-7494.423] (-7492.579) (-7493.493) (-7522.076) -- 0:02:31
Average standard deviation of split frequencies: 0.004483
896000 -- [-7502.719] (-7496.545) (-7512.364) (-7503.337) * (-7519.037) [-7505.425] (-7496.737) (-7500.627) -- 0:02:29
897000 -- (-7506.805) [-7499.347] (-7509.478) (-7501.312) * (-7489.208) [-7493.060] (-7515.493) (-7500.392) -- 0:02:28
898000 -- (-7501.805) [-7494.141] (-7510.865) (-7516.481) * [-7501.734] (-7501.895) (-7502.218) (-7514.366) -- 0:02:26
899000 -- [-7506.756] (-7515.818) (-7507.739) (-7506.274) * (-7502.878) [-7488.660] (-7506.511) (-7520.502) -- 0:02:25
900000 -- [-7496.010] (-7511.438) (-7510.614) (-7534.095) * [-7502.804] (-7493.122) (-7520.619) (-7520.743) -- 0:02:24
Average standard deviation of split frequencies: 0.003807
901000 -- [-7489.118] (-7499.608) (-7513.127) (-7516.474) * (-7511.677) (-7506.674) (-7518.907) [-7490.620] -- 0:02:22
902000 -- (-7517.406) (-7509.725) (-7500.555) [-7500.152] * (-7514.871) (-7504.617) (-7510.010) [-7511.423] -- 0:02:21
903000 -- [-7497.374] (-7505.465) (-7492.590) (-7517.754) * (-7510.894) (-7508.828) [-7502.999] (-7500.352) -- 0:02:19
904000 -- (-7518.984) (-7506.529) [-7504.108] (-7520.489) * (-7498.748) (-7507.874) [-7502.223] (-7521.501) -- 0:02:18
905000 -- (-7513.102) [-7495.641] (-7505.497) (-7510.138) * (-7503.460) [-7496.062] (-7491.037) (-7505.709) -- 0:02:16
Average standard deviation of split frequencies: 0.003595
906000 -- (-7506.651) (-7500.106) [-7500.522] (-7501.823) * (-7495.243) (-7510.121) [-7498.559] (-7512.599) -- 0:02:15
907000 -- (-7497.571) [-7499.960] (-7500.434) (-7507.690) * (-7497.455) (-7502.500) [-7498.885] (-7502.253) -- 0:02:14
908000 -- [-7489.332] (-7508.793) (-7506.125) (-7513.097) * [-7501.533] (-7503.678) (-7501.596) (-7496.058) -- 0:02:12
909000 -- [-7491.454] (-7496.182) (-7517.166) (-7510.845) * (-7520.107) (-7502.959) [-7493.020] (-7497.187) -- 0:02:11
910000 -- [-7489.375] (-7493.738) (-7517.799) (-7507.786) * (-7532.262) (-7504.056) [-7490.103] (-7498.801) -- 0:02:09
Average standard deviation of split frequencies: 0.003553
911000 -- (-7503.610) (-7519.841) (-7500.813) [-7501.270] * (-7511.858) (-7513.167) [-7494.183] (-7507.604) -- 0:02:08
912000 -- (-7515.415) [-7493.013] (-7492.538) (-7511.353) * (-7504.220) (-7501.985) [-7482.974] (-7506.579) -- 0:02:06
913000 -- [-7499.090] (-7516.211) (-7492.778) (-7506.333) * (-7497.513) (-7520.083) (-7512.664) [-7497.866] -- 0:02:05
914000 -- (-7499.993) (-7510.690) (-7493.221) [-7500.899] * (-7495.929) (-7518.945) (-7509.057) [-7486.397] -- 0:02:03
915000 -- (-7520.574) (-7509.184) [-7494.745] (-7525.391) * (-7508.864) (-7529.505) [-7497.461] (-7506.229) -- 0:02:02
Average standard deviation of split frequencies: 0.003626
916000 -- (-7491.384) (-7486.908) [-7490.674] (-7507.017) * (-7517.286) [-7502.309] (-7502.861) (-7505.723) -- 0:02:01
917000 -- (-7503.432) (-7500.338) (-7523.915) [-7505.701] * (-7523.624) [-7512.203] (-7514.544) (-7498.552) -- 0:01:59
918000 -- (-7518.396) (-7511.558) (-7500.698) [-7504.821] * (-7508.005) (-7490.096) [-7506.677] (-7490.537) -- 0:01:58
919000 -- [-7495.185] (-7512.897) (-7510.071) (-7512.918) * (-7501.295) [-7488.487] (-7507.382) (-7490.300) -- 0:01:56
920000 -- [-7499.124] (-7500.329) (-7504.982) (-7499.911) * (-7501.528) (-7502.600) (-7506.019) [-7489.576] -- 0:01:55
Average standard deviation of split frequencies: 0.003817
921000 -- (-7495.370) (-7515.868) [-7506.640] (-7514.007) * (-7528.979) [-7484.305] (-7510.442) (-7494.506) -- 0:01:53
922000 -- (-7513.991) (-7508.356) [-7495.504] (-7525.164) * (-7501.553) (-7508.546) (-7520.460) [-7497.746] -- 0:01:52
923000 -- (-7498.063) (-7511.848) [-7486.104] (-7494.402) * (-7507.650) (-7505.818) (-7493.171) [-7489.320] -- 0:01:50
924000 -- (-7492.948) [-7496.446] (-7495.900) (-7503.108) * (-7506.822) (-7524.359) (-7503.705) [-7499.171] -- 0:01:49
925000 -- (-7522.073) (-7510.016) [-7507.795] (-7498.816) * (-7513.632) (-7502.693) (-7523.187) [-7495.264] -- 0:01:48
Average standard deviation of split frequencies: 0.003841
926000 -- (-7502.375) (-7503.420) (-7494.786) [-7493.520] * [-7496.196] (-7503.786) (-7511.463) (-7508.547) -- 0:01:46
927000 -- (-7501.483) (-7517.442) [-7493.260] (-7486.826) * [-7494.432] (-7500.930) (-7522.560) (-7504.760) -- 0:01:45
928000 -- (-7499.636) (-7493.831) [-7494.933] (-7508.498) * (-7503.831) (-7493.625) (-7517.409) [-7501.934] -- 0:01:43
929000 -- [-7492.997] (-7501.327) (-7508.683) (-7517.184) * (-7509.146) [-7505.980] (-7506.236) (-7515.515) -- 0:01:42
930000 -- (-7509.190) [-7509.417] (-7504.705) (-7505.509) * (-7500.933) [-7507.235] (-7507.721) (-7519.641) -- 0:01:40
Average standard deviation of split frequencies: 0.003937
931000 -- (-7509.166) (-7506.459) [-7494.399] (-7492.787) * (-7502.310) (-7489.396) [-7506.958] (-7513.626) -- 0:01:39
932000 -- (-7523.164) (-7505.116) (-7506.117) [-7492.019] * [-7486.780] (-7507.865) (-7503.783) (-7519.511) -- 0:01:37
933000 -- (-7524.792) (-7503.092) (-7501.054) [-7487.087] * [-7504.038] (-7501.082) (-7513.445) (-7506.478) -- 0:01:36
934000 -- (-7521.134) [-7491.400] (-7506.601) (-7508.532) * (-7494.578) (-7510.921) (-7500.555) [-7503.324] -- 0:01:35
935000 -- (-7500.360) [-7503.302] (-7511.443) (-7524.648) * (-7500.476) (-7508.093) (-7505.308) [-7485.985] -- 0:01:33
Average standard deviation of split frequencies: 0.003800
936000 -- [-7490.828] (-7498.942) (-7511.944) (-7503.417) * (-7516.360) (-7498.840) (-7511.346) [-7488.800] -- 0:01:32
937000 -- (-7492.917) [-7487.957] (-7495.383) (-7503.973) * (-7519.025) [-7491.289] (-7498.175) (-7501.947) -- 0:01:30
938000 -- (-7511.535) (-7497.907) (-7496.111) [-7511.602] * (-7502.904) (-7503.315) [-7493.334] (-7500.828) -- 0:01:29
939000 -- (-7505.925) (-7505.025) [-7493.930] (-7504.160) * (-7523.494) (-7518.358) (-7492.216) [-7499.653] -- 0:01:27
940000 -- (-7528.529) [-7491.841] (-7487.902) (-7503.778) * (-7504.461) [-7501.779] (-7522.634) (-7498.688) -- 0:01:26
Average standard deviation of split frequencies: 0.003804
941000 -- (-7525.934) [-7490.451] (-7509.972) (-7490.790) * (-7514.323) (-7506.629) [-7494.495] (-7494.116) -- 0:01:24
942000 -- (-7521.612) [-7501.808] (-7493.054) (-7503.234) * (-7518.074) (-7497.861) (-7505.739) [-7489.495] -- 0:01:23
943000 -- (-7517.778) (-7502.818) [-7481.603] (-7507.189) * (-7525.748) (-7502.866) (-7503.724) [-7504.574] -- 0:01:22
944000 -- (-7507.128) (-7493.627) [-7495.466] (-7509.669) * (-7506.823) [-7509.344] (-7497.927) (-7502.123) -- 0:01:20
945000 -- (-7512.631) [-7496.145] (-7501.587) (-7513.518) * (-7495.148) (-7505.549) (-7499.441) [-7498.847] -- 0:01:19
Average standard deviation of split frequencies: 0.004571
946000 -- (-7515.146) (-7507.713) [-7487.987] (-7515.353) * [-7506.831] (-7514.044) (-7504.867) (-7522.760) -- 0:01:17
947000 -- (-7504.621) (-7512.664) [-7488.787] (-7517.243) * (-7501.827) (-7513.965) (-7505.801) [-7502.551] -- 0:01:16
948000 -- (-7502.954) (-7506.558) [-7502.620] (-7499.184) * (-7512.860) (-7516.247) [-7502.024] (-7509.775) -- 0:01:14
949000 -- [-7501.387] (-7508.541) (-7501.038) (-7500.125) * (-7512.944) (-7500.535) [-7500.357] (-7511.175) -- 0:01:13
950000 -- (-7519.071) (-7495.839) [-7502.293] (-7507.090) * (-7510.996) (-7497.781) [-7489.237] (-7499.430) -- 0:01:12
Average standard deviation of split frequencies: 0.004012
951000 -- (-7532.103) (-7507.068) [-7495.209] (-7502.688) * (-7495.208) [-7493.330] (-7502.631) (-7517.927) -- 0:01:10
952000 -- (-7519.494) (-7516.905) (-7512.694) [-7507.067] * (-7510.749) [-7499.411] (-7504.448) (-7506.760) -- 0:01:09
953000 -- (-7538.597) [-7506.991] (-7510.701) (-7513.535) * (-7513.029) (-7503.298) [-7515.619] (-7511.458) -- 0:01:07
954000 -- (-7493.916) (-7507.049) [-7490.226] (-7512.748) * (-7518.019) [-7496.886] (-7504.138) (-7498.871) -- 0:01:06
955000 -- (-7517.317) [-7495.544] (-7493.840) (-7518.950) * (-7531.342) (-7500.976) (-7504.110) [-7485.317] -- 0:01:04
Average standard deviation of split frequencies: 0.004012
956000 -- [-7501.205] (-7512.961) (-7505.033) (-7504.105) * (-7514.699) [-7478.513] (-7514.771) (-7503.228) -- 0:01:03
957000 -- (-7492.396) (-7503.979) [-7497.864] (-7509.000) * (-7500.857) (-7497.457) (-7506.594) [-7495.743] -- 0:01:01
958000 -- (-7510.008) (-7511.229) [-7492.085] (-7503.310) * (-7505.728) (-7510.633) (-7515.753) [-7496.965] -- 0:01:00
959000 -- (-7493.669) (-7507.486) [-7492.759] (-7501.707) * (-7517.716) (-7514.539) (-7503.360) [-7510.495] -- 0:00:59
960000 -- [-7498.467] (-7524.557) (-7501.873) (-7499.509) * (-7501.189) (-7507.103) (-7502.951) [-7491.031] -- 0:00:57
Average standard deviation of split frequencies: 0.003948
961000 -- (-7490.494) [-7496.546] (-7486.496) (-7501.641) * [-7494.332] (-7510.123) (-7497.003) (-7502.197) -- 0:00:56
962000 -- (-7488.281) (-7501.044) [-7486.884] (-7528.898) * [-7492.096] (-7508.265) (-7502.099) (-7500.426) -- 0:00:54
963000 -- (-7494.577) (-7498.644) [-7495.455] (-7529.264) * [-7491.744] (-7518.271) (-7512.570) (-7510.602) -- 0:00:53
964000 -- (-7508.620) (-7491.837) [-7503.639] (-7517.016) * (-7508.191) [-7499.550] (-7506.660) (-7499.339) -- 0:00:51
965000 -- (-7523.821) (-7506.342) [-7493.958] (-7521.024) * (-7514.978) (-7520.591) [-7489.520] (-7502.897) -- 0:00:50
Average standard deviation of split frequencies: 0.003638
966000 -- (-7520.428) (-7505.307) [-7502.085] (-7505.065) * (-7519.348) (-7506.460) [-7493.556] (-7523.654) -- 0:00:48
967000 -- (-7500.609) [-7489.201] (-7513.756) (-7510.941) * (-7502.792) (-7499.941) [-7502.270] (-7501.506) -- 0:00:47
968000 -- (-7492.945) [-7501.155] (-7499.833) (-7499.359) * (-7496.023) [-7493.125] (-7510.587) (-7510.285) -- 0:00:46
969000 -- (-7534.880) (-7498.155) [-7503.507] (-7486.463) * [-7495.503] (-7510.669) (-7496.471) (-7523.698) -- 0:00:44
970000 -- (-7513.125) (-7509.572) [-7505.019] (-7507.009) * (-7497.083) [-7499.110] (-7510.811) (-7531.294) -- 0:00:43
Average standard deviation of split frequencies: 0.003488
971000 -- (-7505.744) (-7490.811) (-7510.007) [-7491.061] * (-7507.503) [-7501.218] (-7510.937) (-7513.338) -- 0:00:41
972000 -- (-7497.365) (-7500.782) (-7529.443) [-7500.624] * (-7500.010) (-7513.868) (-7493.038) [-7501.045] -- 0:00:40
973000 -- (-7521.266) [-7490.447] (-7504.771) (-7509.455) * (-7524.521) (-7512.215) (-7498.797) [-7482.187] -- 0:00:38
974000 -- (-7525.547) [-7490.720] (-7507.776) (-7515.322) * (-7525.060) [-7503.686] (-7501.331) (-7511.457) -- 0:00:37
975000 -- (-7514.808) (-7509.504) [-7493.087] (-7506.396) * (-7519.087) (-7510.175) (-7498.218) [-7509.226] -- 0:00:35
Average standard deviation of split frequencies: 0.003491
976000 -- (-7508.781) [-7497.010] (-7523.121) (-7504.929) * (-7516.392) [-7494.027] (-7492.596) (-7494.170) -- 0:00:34
977000 -- (-7512.596) [-7501.128] (-7516.534) (-7501.321) * (-7497.900) (-7513.093) [-7500.972] (-7497.187) -- 0:00:33
978000 -- (-7514.306) (-7504.120) (-7504.598) [-7486.255] * [-7503.043] (-7493.232) (-7503.004) (-7508.945) -- 0:00:31
979000 -- [-7494.864] (-7507.407) (-7526.576) (-7494.528) * [-7502.957] (-7506.636) (-7519.062) (-7507.340) -- 0:00:30
980000 -- (-7496.376) (-7513.614) (-7525.229) [-7493.373] * (-7502.252) (-7504.872) (-7520.734) [-7516.444] -- 0:00:28
Average standard deviation of split frequencies: 0.003387
981000 -- (-7502.592) (-7511.991) (-7499.039) [-7489.129] * (-7497.325) [-7491.691] (-7500.191) (-7505.483) -- 0:00:27
982000 -- (-7507.545) (-7509.823) (-7505.313) [-7487.495] * [-7486.970] (-7494.906) (-7530.156) (-7498.722) -- 0:00:25
983000 -- (-7502.014) (-7516.572) (-7491.685) [-7495.326] * [-7487.474] (-7496.552) (-7501.876) (-7500.072) -- 0:00:24
984000 -- [-7498.688] (-7507.569) (-7493.098) (-7490.345) * (-7501.540) (-7495.797) (-7506.605) [-7502.541] -- 0:00:23
985000 -- [-7497.416] (-7493.325) (-7503.737) (-7511.136) * [-7493.058] (-7498.394) (-7493.875) (-7496.955) -- 0:00:21
Average standard deviation of split frequencies: 0.003434
986000 -- (-7507.051) (-7489.824) (-7496.147) [-7502.748] * (-7504.541) (-7508.291) [-7502.358] (-7505.888) -- 0:00:20
987000 -- (-7513.104) (-7492.688) [-7509.313] (-7497.480) * (-7523.246) (-7495.422) (-7501.869) [-7495.197] -- 0:00:18
988000 -- (-7514.937) [-7491.815] (-7497.674) (-7505.083) * (-7501.858) [-7495.712] (-7499.850) (-7501.987) -- 0:00:17
989000 -- (-7518.262) (-7506.140) [-7495.504] (-7495.842) * (-7530.564) (-7495.453) (-7494.306) [-7495.858] -- 0:00:15
990000 -- (-7508.511) (-7500.596) (-7509.558) [-7507.623] * [-7497.198] (-7486.901) (-7505.697) (-7503.353) -- 0:00:14
Average standard deviation of split frequencies: 0.003612
991000 -- (-7512.505) (-7511.438) [-7500.585] (-7498.602) * (-7509.460) [-7498.702] (-7497.551) (-7495.295) -- 0:00:12
992000 -- (-7506.665) (-7498.347) [-7499.107] (-7495.692) * (-7506.334) (-7499.118) [-7501.708] (-7495.110) -- 0:00:11
993000 -- [-7499.418] (-7502.793) (-7503.398) (-7503.701) * (-7501.342) [-7505.605] (-7488.487) (-7487.620) -- 0:00:10
994000 -- (-7505.277) (-7503.101) [-7492.507] (-7516.495) * (-7512.238) (-7504.273) (-7491.243) [-7502.848] -- 0:00:08
995000 -- (-7515.375) [-7493.212] (-7497.371) (-7504.762) * (-7509.635) [-7504.772] (-7487.738) (-7515.723) -- 0:00:07
Average standard deviation of split frequencies: 0.003614
996000 -- (-7517.711) (-7506.242) [-7497.610] (-7505.472) * (-7508.285) [-7492.701] (-7495.204) (-7516.441) -- 0:00:05
997000 -- (-7512.937) (-7509.032) [-7488.773] (-7510.689) * [-7499.057] (-7508.542) (-7510.594) (-7500.925) -- 0:00:04
998000 -- (-7507.731) (-7500.287) [-7495.205] (-7503.565) * (-7504.143) (-7493.884) [-7495.313] (-7498.428) -- 0:00:02
999000 -- (-7500.876) [-7494.944] (-7509.292) (-7499.690) * (-7507.278) (-7494.445) (-7503.823) [-7488.610] -- 0:00:01
1000000 -- (-7505.295) (-7491.158) (-7500.976) [-7500.612] * [-7494.233] (-7500.088) (-7512.600) (-7496.765) -- 0:00:00
Average standard deviation of split frequencies: 0.003704
Analysis completed in 23 mins 59 seconds
Analysis used 1437.42 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -7472.71
Likelihood of best state for "cold" chain of run 2 was -7474.31
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
33.5 % ( 18 %) Dirichlet(Revmat{all})
53.8 % ( 35 %) Slider(Revmat{all})
12.4 % ( 18 %) Dirichlet(Pi{all})
23.5 % ( 26 %) Slider(Pi{all})
41.1 % ( 36 %) Multiplier(Alpha{1,2})
50.1 % ( 26 %) Multiplier(Alpha{3})
37.8 % ( 20 %) Slider(Pinvar{all})
16.2 % ( 20 %) ExtSPR(Tau{all},V{all})
19.2 % ( 20 %) ExtTBR(Tau{all},V{all})
29.0 % ( 37 %) NNI(Tau{all},V{all})
22.4 % ( 34 %) ParsSPR(Tau{all},V{all})
26.8 % ( 23 %) Multiplier(V{all})
45.5 % ( 44 %) Nodeslider(V{all})
24.9 % ( 27 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
33.9 % ( 22 %) Dirichlet(Revmat{all})
53.7 % ( 45 %) Slider(Revmat{all})
12.1 % ( 21 %) Dirichlet(Pi{all})
23.2 % ( 25 %) Slider(Pi{all})
40.5 % ( 28 %) Multiplier(Alpha{1,2})
49.2 % ( 27 %) Multiplier(Alpha{3})
37.8 % ( 20 %) Slider(Pinvar{all})
16.1 % ( 15 %) ExtSPR(Tau{all},V{all})
18.8 % ( 18 %) ExtTBR(Tau{all},V{all})
28.7 % ( 16 %) NNI(Tau{all},V{all})
22.4 % ( 13 %) ParsSPR(Tau{all},V{all})
26.7 % ( 23 %) Multiplier(V{all})
45.8 % ( 40 %) Nodeslider(V{all})
24.9 % ( 24 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.58 0.29 0.13
2 | 166254 0.61 0.33
3 | 166171 167186 0.63
4 | 166459 167182 166748
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.59 0.30 0.13
2 | 166865 0.62 0.33
3 | 165977 166782 0.64
4 | 166292 166750 167334
Upper diagonal: Proportion of successful state exchanges between chains
Lower diagonal: Number of attempted state exchanges between chains
Chain information:
ID -- Heat
-----------
1 -- 1.00 (cold chain)
2 -- 0.91
3 -- 0.83
4 -- 0.77
Heat = 1 / (1 + T * (ID - 1))
(where T = 0.10 is the temperature and ID is the chain number)
Setting burn-in to 2500
Summarizing parameters in files /data/mrbayes_input.nex.run1.p and /data/mrbayes_input.nex.run2.p
Writing summary statistics to file /data/mrbayes_input.nex.pstat
Using relative burnin ('relburnin=yes'), discarding the first 25 % of samples
Below are rough plots of the generation (x-axis) versus the log
probability of observing the data (y-axis). You can use these
graphs to determine what the burn in for your analysis should be.
When the log probability starts to plateau you may be at station-
arity. Sample trees and parameters after the log probability
plateaus. Of course, this is not a guarantee that you are at sta-
tionarity. Also examine the convergence diagnostics provided by
the 'sump' and 'sumt' commands for all the parameters in your
model. Remember that the burn in is the number of samples to dis-
card. There are a total of ngen / samplefreq samples taken during
a MCMC analysis.
Overlay plot for both runs:
(1 = Run number 1; 2 = Run number 2; * = Both runs)
+------------------------------------------------------------+ -7492.97
| 2 1 2 |
| |
| 2 21 1 2 |
| 22 2 2 1 2 |
| 1 2 2 1 *2 1 11 1 1 11 |
| 2 1 1 2 2 1 2 2 22*2 12 2|
| 11 2 1 2 2 11 1 * 2 21 2 1|
| 2 12 2 22 1 1122 2 22 2 |
| 2 * 21 1 211 2 1 1 1 * |
| 1 1 1 1 2 1 2 1 1 2 |
| 1 11 * 2 21 1 1 |
|* 2 1 2 |
| 1 1 |
| |
| 2 1 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -7500.73
^ ^
250000 1000000
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -7484.05 -7515.10
2 -7483.50 -7514.69
--------------------------------------
TOTAL -7483.74 -7514.91
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.156797 0.000134 0.134497 0.178876 0.156349 1228.32 1364.66 1.000
r(A<->C){all} 0.055321 0.000149 0.032386 0.078147 0.054434 969.88 1055.65 1.000
r(A<->G){all} 0.151862 0.000448 0.112181 0.193772 0.150759 756.89 904.34 1.002
r(A<->T){all} 0.072120 0.000142 0.050287 0.096818 0.071785 647.55 748.58 1.000
r(C<->G){all} 0.069538 0.000252 0.038188 0.099383 0.068427 777.00 927.48 1.005
r(C<->T){all} 0.548394 0.000883 0.490673 0.605908 0.548082 585.72 646.33 1.000
r(G<->T){all} 0.102766 0.000296 0.070216 0.137193 0.101962 887.26 907.27 1.000
pi(A){all} 0.279875 0.000055 0.266377 0.295131 0.279698 973.84 1076.40 1.000
pi(C){all} 0.232378 0.000048 0.218800 0.245480 0.232409 886.18 1048.79 1.000
pi(G){all} 0.181701 0.000044 0.169389 0.195134 0.181584 986.60 1044.78 1.001
pi(T){all} 0.306047 0.000057 0.291574 0.321130 0.306062 733.25 908.16 1.000
alpha{1,2} 0.191222 0.004661 0.046877 0.327570 0.189392 866.12 909.07 1.000
alpha{3} 2.695398 1.708067 0.687728 5.223943 2.458444 1071.04 1088.22 1.000
pinvar{all} 0.666877 0.002267 0.568859 0.750718 0.674025 659.46 732.54 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C11
2 -- C14
3 -- C15
4 -- C16
5 -- C17
6 -- C2
7 -- C20
8 -- C23
9 -- C26
10 -- C29
11 -- C3
12 -- C30
13 -- C32
14 -- C35
15 -- C36
16 -- C38
17 -- C39
18 -- C4
19 -- C40
20 -- C41
21 -- C42
22 -- C46
23 -- C47
24 -- C48
25 -- C5
26 -- C52
27 -- C54
28 -- C6
29 -- C7
30 -- C9
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- .....**.....................*.
32 -- ....*.........*...........*...
33 -- ......*.....................*.
34 -- .......**....*................
35 -- .........*.*..................
36 -- .*.......................*....
37 -- .****....*.**.***.******.**..*
38 -- .......**....*...*............
39 -- ..*............*..............
40 -- .*********.*******************
41 -- .......*.....*................
42 -- ................*.*...........
43 -- .****....*.**.***.******.***.*
44 -- ..............*...........*...
45 -- ....*.........*.......*...*...
46 -- .........*.*...........*......
47 -- ....................*........*
48 -- .*.................*.....*....
49 -- .****..***.*****************.*
50 -- .****..***.*************.***.*
51 -- .......**....*...*......*.....
52 -- .....**.................*...*.
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 3002 1.000000 0.000000 1.000000 1.000000 2
36 3002 1.000000 0.000000 1.000000 1.000000 2
37 3002 1.000000 0.000000 1.000000 1.000000 2
38 3002 1.000000 0.000000 1.000000 1.000000 2
39 3002 1.000000 0.000000 1.000000 1.000000 2
40 3002 1.000000 0.000000 1.000000 1.000000 2
41 3002 1.000000 0.000000 1.000000 1.000000 2
42 3000 0.999334 0.000000 0.999334 0.999334 2
43 2997 0.998334 0.000471 0.998001 0.998668 2
44 2960 0.986009 0.001884 0.984677 0.987342 2
45 2753 0.917055 0.011777 0.908728 0.925383 2
46 2734 0.910726 0.002827 0.908728 0.912725 2
47 2594 0.864091 0.018844 0.850766 0.877415 2
48 2523 0.840440 0.013662 0.830779 0.850100 2
49 2412 0.803464 0.003769 0.800799 0.806129 2
50 2352 0.783478 0.007537 0.778148 0.788807 2
51 390 0.129913 0.010364 0.122585 0.137242 2
52 356 0.118588 0.010364 0.111259 0.125916 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.002439 0.000001 0.000741 0.004294 0.002329 1.001 2
length{all}[2] 0.000320 0.000000 0.000000 0.000942 0.000214 1.000 2
length{all}[3] 0.000307 0.000000 0.000000 0.000914 0.000214 1.000 2
length{all}[4] 0.001208 0.000000 0.000163 0.002371 0.001105 1.000 2
length{all}[5] 0.000299 0.000000 0.000000 0.000898 0.000206 1.000 2
length{all}[6] 0.003423 0.000001 0.001530 0.005564 0.003287 1.000 2
length{all}[7] 0.003368 0.000001 0.001435 0.005644 0.003238 1.001 2
length{all}[8] 0.001239 0.000000 0.000171 0.002689 0.001137 1.000 2
length{all}[9] 0.019718 0.000011 0.013248 0.026316 0.019538 1.000 2
length{all}[10] 0.000919 0.000000 0.000129 0.002003 0.000825 1.001 2
length{all}[11] 0.001019 0.000000 0.000035 0.002250 0.000903 1.000 2
length{all}[12] 0.000305 0.000000 0.000000 0.000905 0.000210 1.000 2
length{all}[13] 0.001829 0.000001 0.000498 0.003287 0.001712 1.002 2
length{all}[14] 0.000913 0.000000 0.000002 0.002030 0.000807 1.000 2
length{all}[15] 0.001223 0.000000 0.000219 0.002393 0.001126 1.000 2
length{all}[16] 0.000306 0.000000 0.000000 0.000915 0.000213 1.000 2
length{all}[17] 0.000300 0.000000 0.000000 0.000906 0.000204 1.000 2
length{all}[18] 0.007899 0.000004 0.004369 0.011655 0.007712 1.000 2
length{all}[19] 0.000299 0.000000 0.000000 0.000902 0.000209 1.001 2
length{all}[20] 0.000645 0.000000 0.000017 0.001524 0.000544 1.000 2
length{all}[21] 0.001267 0.000000 0.000209 0.002454 0.001159 1.000 2
length{all}[22] 0.000307 0.000000 0.000000 0.000911 0.000215 1.001 2
length{all}[23] 0.001552 0.000000 0.000309 0.002816 0.001455 1.000 2
length{all}[24] 0.002192 0.000001 0.000786 0.003891 0.002087 1.000 2
length{all}[25] 0.006345 0.000002 0.003376 0.009241 0.006206 1.000 2
length{all}[26] 0.000299 0.000000 0.000000 0.000871 0.000208 1.000 2
length{all}[27] 0.001209 0.000000 0.000178 0.002366 0.001113 1.000 2
length{all}[28] 0.006367 0.000002 0.003534 0.009512 0.006248 1.000 2
length{all}[29] 0.012843 0.000005 0.008679 0.017742 0.012707 1.000 2
length{all}[30] 0.001571 0.000001 0.000378 0.003056 0.001453 1.000 2
length{all}[31] 0.002705 0.000001 0.000835 0.004750 0.002612 1.000 2
length{all}[32] 0.001254 0.000000 0.000167 0.002496 0.001135 1.000 2
length{all}[33] 0.002293 0.000001 0.000685 0.004036 0.002183 1.000 2
length{all}[34] 0.014837 0.000008 0.009688 0.020593 0.014677 1.000 2
length{all}[35] 0.001934 0.000001 0.000582 0.003508 0.001829 1.000 2
length{all}[36] 0.001269 0.000000 0.000290 0.002558 0.001164 1.000 2
length{all}[37] 0.005788 0.000002 0.003102 0.008755 0.005651 1.000 2
length{all}[38] 0.004706 0.000002 0.001966 0.007850 0.004545 1.001 2
length{all}[39] 0.002479 0.000001 0.000831 0.004217 0.002385 1.000 2
length{all}[40] 0.003873 0.000001 0.001796 0.006282 0.003765 1.001 2
length{all}[41] 0.021661 0.000012 0.015078 0.028454 0.021412 1.001 2
length{all}[42] 0.000909 0.000000 0.000094 0.001942 0.000814 1.000 2
length{all}[43] 0.003370 0.000001 0.001280 0.005510 0.003254 1.000 2
length{all}[44] 0.000611 0.000000 0.000002 0.001423 0.000514 1.001 2
length{all}[45] 0.000611 0.000000 0.000014 0.001467 0.000513 1.000 2
length{all}[46] 0.000906 0.000000 0.000049 0.001955 0.000816 1.000 2
length{all}[47] 0.000614 0.000000 0.000007 0.001494 0.000504 1.000 2
length{all}[48] 0.000616 0.000000 0.000019 0.001461 0.000521 1.000 2
length{all}[49] 0.001632 0.000001 0.000249 0.003271 0.001522 1.001 2
length{all}[50] 0.000959 0.000000 0.000002 0.002287 0.000816 1.000 2
length{all}[51] 0.000904 0.000001 0.000007 0.002459 0.000693 1.005 2
length{all}[52] 0.000819 0.000000 0.000006 0.001839 0.000735 0.997 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.003704
Maximum standard deviation of split frequencies = 0.018844
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.005
Clade credibility values:
/---------------------------------------------------------------------- C11 (1)
|
|---------------------------------------------------------------------- C3 (11)
|
| /-------- C14 (2)
| /--100--+
| | \-------- C52 (26)
| /------84------+
| | \---------------- C41 (20)
| |
| | /-------- C15 (3)
| |----------100---------+
| | \-------- C38 (16)
| |
| |------------------------------- C16 (4)
| |
| | /---------------- C17 (5)
| | |
| | /--100-+ /-------- C36 (15)
| | | \---99--+
| |---92--+ \-------- C54 (27)
| | |
| | \----------------------- C47 (23)
| |
| /--100--+ /-------- C29 (10)
| | | /--100--+
+ | | | \-------- C30 (12)
| | |------91------+
| | | \---------------- C48 (24)
| | |
| | |------------------------------- C32 (13)
| | |
| | | /-------- C39 (17)
| /--100--+ |----------100---------+
| | | | \-------- C40 (19)
| | | |
| | | | /-------- C42 (21)
| | | |----------86----------+
| | | | \-------- C9 (30)
| | | |
| | | \------------------------------- C46 (22)
| /--78--+ |
| | | \--------------------------------------- C6 (28)
| | |
| | | /-------- C23 (8)
| | | /--100--+
| | | | \-------- C35 (14)
| /---80--+ | /--100-+
| | | | | \---------------- C26 (9)
| | | \----------100----------+
| | | \----------------------- C4 (18)
| | |
\--100--+ \------------------------------------------------------ C5 (25)
|
| /---------------- C2 (6)
| |
\---------------------100---------------------+ /-------- C20 (7)
\--100--+
\-------- C7 (29)
Phylogram (based on average branch lengths):
/--- C11 (1)
|
|- C3 (11)
|
| / C14 (2)
| /-+
| | \ C52 (26)
| /+
| |\- C41 (20)
| |
| | / C15 (3)
| |---+
| | \ C38 (16)
| |
| |-- C16 (4)
| |
| | / C17 (5)
| | |
| |/-+-- C36 (15)
| || |
| |+ \-- C54 (27)
| ||
| |\-- C47 (23)
| |
| /-------+ /- C29 (10)
| | |/--+
+ | || \ C30 (12)
| | |+
| | |\--- C48 (24)
| | |
| | |--- C32 (13)
| | |
| | |/- C39 (17)
| /----+ |+
| | | |\- C40 (19)
| | | |
| | | |/-- C42 (21)
| | | |+
| | | |\-- C9 (30)
| | | |
| | | \ C46 (22)
| /+ |
| || \--------- C6 (28)
| ||
| || /- C23 (8)
| || /-------------------------------+
| || | \- C35 (14)
| /-+| /--------------------+
| | || | \----------------------------- C26 (9)
| | |\------+
| | | \----------- C4 (18)
| | |
\-----+ \--------- C5 (25)
|
| /----- C2 (6)
| |
\--+ /---- C20 (7)
\---+
\------------------ C7 (29)
|-------------| 0.010 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 21:33:57 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result/original_alignment/codeml,NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C52 3480 sites
reading seq# 2 C6 3480 sites
reading seq# 3 C54 3480 sites
reading seq# 4 C9 3480 sites
reading seq# 5 C4 3480 sites
reading seq# 6 C23 3480 sites
reading seq# 7 C14 3480 sites
reading seq# 8 C41 3480 sites
reading seq# 9 C15 3480 sites
reading seq#10 C47 3480 sites
reading seq#11 C17 3480 sites
reading seq#12 C26 3480 sites
reading seq#13 C30 3480 sites
reading seq#14 C5 3480 sites
reading seq#15 C20 3480 sites
reading seq#16 C3 3480 sites
reading seq#17 C40 3480 sites
reading seq#18 C29 3480 sites
reading seq#19 C39 3480 sites
reading seq#20 C16 3480 sites
reading seq#21 C46 3480 sites
reading seq#22 C38 3480 sites
reading seq#23 C32 3480 sites
reading seq#24 C48 3480 sites
reading seq#25 C35 3480 sites
reading seq#26 C36 3480 sites
reading seq#27 C7 3480 sites
reading seq#28 C42 3480 sites
reading seq#29 C11 3480 sites
reading seq#30 C2 3480 sitesns = 30 ls = 3480
Reading sequences, sequential format..
Reading seq # 1: C52
Reading seq # 2: C6
Reading seq # 3: C54
Reading seq # 4: C9
Reading seq # 5: C4
Reading seq # 6: C23
Reading seq # 7: C14
Reading seq # 8: C41
Reading seq # 9: C15
Reading seq #10: C47
Reading seq #11: C17
Reading seq #12: C26
Reading seq #13: C30
Reading seq #14: C5
Reading seq #15: C20
Reading seq #16: C3
Reading seq #17: C40
Reading seq #18: C29
Reading seq #19: C39
Reading seq #20: C16
Reading seq #21: C46
Reading seq #22: C38
Reading seq #23: C32
Reading seq #24: C48
Reading seq #25: C35
Reading seq #26: C36
Reading seq #27: C7
Reading seq #28: C42
Reading seq #29: C11
Reading seq #30: C2
Sites with gaps or missing data are removed.
3 ambiguity characters in seq. 2
3 ambiguity characters in seq. 14
3 ambiguity characters in seq. 15
3 ambiguity characters in seq. 16
3 ambiguity characters in seq. 25
3 ambiguity characters in seq. 27
3 ambiguity characters in seq. 30
1 sites are removed. 50
Sequences read..
Counting site patterns.. 0:00
Compressing, 324 patterns at 1159 / 1159 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 324 patterns at 1159 / 1159 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
316224 bytes for conP
28512 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
3320352 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.092216 0.073617 0.102720 0.063010 0.043508 0.105759 0.073322 0.102912 0.058472 0.036601 0.019089 0.045178 0.028824 0.069594 0.100918 0.099467 0.090679 0.041734 0.078351 0.056552 0.035653 0.047976 0.042893 0.104676 0.080070 0.052254 0.083653 0.047361 0.109461 0.108581 0.090001 0.083633 0.090551 0.090620 0.070921 0.086577 0.017901 0.103212 0.045755 0.091173 0.037416 0.024256 0.036014 0.077346 0.063895 0.100412 0.062957 0.109173 0.084805 0.095041 0.300000 0.582472 0.380843
ntime & nrate & np: 50 2 53
Bounds (np=53):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 11.479502
np = 53
lnL0 = -10212.705879
Iterating by ming2
Initial: fx= 10212.705879
x= 0.09222 0.07362 0.10272 0.06301 0.04351 0.10576 0.07332 0.10291 0.05847 0.03660 0.01909 0.04518 0.02882 0.06959 0.10092 0.09947 0.09068 0.04173 0.07835 0.05655 0.03565 0.04798 0.04289 0.10468 0.08007 0.05225 0.08365 0.04736 0.10946 0.10858 0.09000 0.08363 0.09055 0.09062 0.07092 0.08658 0.01790 0.10321 0.04576 0.09117 0.03742 0.02426 0.03601 0.07735 0.06390 0.10041 0.06296 0.10917 0.08480 0.09504 0.30000 0.58247 0.38084
1 h-m-p 0.0000 0.0000 5851.4652 ++ 9480.107699 m 0.0000 58 | 1/53
2 h-m-p 0.0000 0.0000 9824.0005 ++ 9060.230513 m 0.0000 114 | 2/53
3 h-m-p 0.0000 0.0000 110904.9796 ++ 8764.187502 m 0.0000 170 | 2/53
4 h-m-p 0.0000 0.0000 154271.1464 ++ 8685.447668 m 0.0000 226 | 2/53
5 h-m-p 0.0000 0.0000 65892.9219 ++ 8555.824499 m 0.0000 282 | 2/53
6 h-m-p 0.0000 0.0000 128215.1336 ++ 8529.663582 m 0.0000 338 | 2/53
7 h-m-p 0.0000 0.0000 175662.0739 +YYCCCCC 8466.113081 6 0.0000 406 | 2/53
8 h-m-p 0.0000 0.0000 135123.4930 ++ 8439.492246 m 0.0000 462 | 2/53
9 h-m-p -0.0000 -0.0000 441136.4891
h-m-p: -1.23225008e-25 -6.16125042e-25 4.41136489e+05 8439.492246
.. | 2/53
10 h-m-p 0.0000 0.0000 34519.2340 ++ 8347.974677 m 0.0000 571 | 3/53
11 h-m-p 0.0000 0.0000 5534.1930 ++ 8241.068799 m 0.0000 627 | 3/53
12 h-m-p 0.0000 0.0000 274335.4819 ++ 8236.769167 m 0.0000 683 | 3/53
13 h-m-p 0.0000 0.0000 4634161.2816 ++ 8150.733628 m 0.0000 739 | 3/53
14 h-m-p 0.0000 0.0000 90559.7895 ++ 8149.883219 m 0.0000 795 | 3/53
15 h-m-p 0.0000 0.0000 113313.6933 ++ 8136.496636 m 0.0000 851 | 4/53
16 h-m-p 0.0000 0.0000 24126.6607 ++ 8113.494269 m 0.0000 907 | 4/53
17 h-m-p 0.0000 0.0000 119966.3236 ++ 8034.941455 m 0.0000 963 | 5/53
18 h-m-p 0.0000 0.0000 87828.3590 ++ 8033.815544 m 0.0000 1019 | 6/53
19 h-m-p 0.0000 0.0000 59443.8060 ++ 7993.228618 m 0.0000 1075 | 7/53
20 h-m-p 0.0000 0.0000 67636.7685 ++ 7952.271389 m 0.0000 1131 | 8/53
21 h-m-p 0.0000 0.0000 38119.6851 ++ 7862.383582 m 0.0000 1187 | 8/53
22 h-m-p 0.0000 0.0000 45053.9205 ++ 7859.538675 m 0.0000 1243 | 9/53
23 h-m-p 0.0000 0.0000 3853873.3502 ++ 7841.981769 m 0.0000 1299 | 9/53
24 h-m-p 0.0000 0.0000 189461.6629 ++ 7818.168248 m 0.0000 1355 | 9/53
25 h-m-p 0.0000 0.0000 25064.2984 +CYCYCYC 7788.283519 6 0.0000 1421 | 9/53
26 h-m-p 0.0000 0.0000 8692.8739 +YYYYCCCCC 7778.584704 8 0.0000 1490 | 9/53
27 h-m-p 0.0000 0.0000 9133.3493 +YYYYYC 7752.088429 5 0.0000 1552 | 9/53
28 h-m-p 0.0000 0.0000 35379.1297 YCCC 7749.978652 3 0.0000 1613 | 9/53
29 h-m-p 0.0000 0.0000 3907.1332 YCCCC 7742.968795 4 0.0000 1676 | 9/53
30 h-m-p 0.0000 0.0000 2669.1056 YCCCC 7733.095788 4 0.0000 1739 | 9/53
31 h-m-p 0.0000 0.0000 2245.5527 +YYCCCC 7720.992307 5 0.0000 1804 | 9/53
32 h-m-p 0.0000 0.0000 4229.5895 +CYYCC 7705.376943 4 0.0000 1867 | 9/53
33 h-m-p 0.0000 0.0000 4186.4876 +YCCCC 7694.958970 4 0.0000 1931 | 9/53
34 h-m-p 0.0000 0.0000 3447.5348 +YYCCCC 7684.306067 5 0.0000 1996 | 9/53
35 h-m-p 0.0000 0.0000 4982.2783 +YYYCCC 7675.013856 5 0.0000 2060 | 9/53
36 h-m-p 0.0000 0.0000 5565.9494 +YYYCCC 7664.469245 5 0.0000 2124 | 9/53
37 h-m-p 0.0000 0.0000 5803.7893 +YYYYCC 7650.926367 5 0.0000 2187 | 9/53
38 h-m-p 0.0000 0.0000 27354.2748 +YYYCCC 7630.563746 5 0.0000 2251 | 9/53
39 h-m-p 0.0000 0.0000 64510.7888 +YYCYCCC 7579.494899 6 0.0000 2317 | 9/53
40 h-m-p 0.0000 0.0000 148235.5952 +YYCCC 7556.325617 4 0.0000 2380 | 9/53
41 h-m-p 0.0000 0.0000 103388.0790 +YCCCC 7533.099292 4 0.0000 2444 | 9/53
42 h-m-p 0.0000 0.0000 55840.0130 ++ 7499.616175 m 0.0000 2500 | 9/53
43 h-m-p 0.0000 0.0000 1743.4696
h-m-p: 0.00000000e+00 0.00000000e+00 1.74346964e+03 7499.616175
.. | 9/53
44 h-m-p 0.0000 0.0000 16823.0568 YYYCCCC 7488.750056 6 0.0000 2618 | 9/53
45 h-m-p 0.0000 0.0000 3979.0090 +YYYCCCC 7457.000807 6 0.0000 2684 | 9/53
46 h-m-p 0.0000 0.0000 3722.2637 +YYCCC 7448.638558 4 0.0000 2747 | 9/53
47 h-m-p 0.0000 0.0000 2482.2216 +YYCCCC 7442.690513 5 0.0000 2812 | 9/53
48 h-m-p 0.0000 0.0000 2508.0069 +YCCC 7438.757488 3 0.0000 2874 | 9/53
49 h-m-p 0.0000 0.0000 4627.7453 +YYCCC 7435.950150 4 0.0000 2937 | 9/53
50 h-m-p 0.0000 0.0000 4224.4419 CCCC 7433.956195 3 0.0000 2999 | 9/53
51 h-m-p 0.0000 0.0000 2898.1201 YCCC 7430.446832 3 0.0000 3060 | 9/53
52 h-m-p 0.0000 0.0000 2479.5280 YCCC 7426.743818 3 0.0000 3121 | 9/53
53 h-m-p 0.0000 0.0000 3969.6193 +YYCCC 7422.686285 4 0.0000 3184 | 9/53
54 h-m-p 0.0000 0.0000 3157.0192 YC 7421.917804 1 0.0000 3241 | 9/53
55 h-m-p 0.0000 0.0000 1407.8198 +YYCCC 7419.804635 4 0.0000 3304 | 9/53
56 h-m-p 0.0000 0.0000 3841.6381 CCCC 7417.359293 3 0.0000 3366 | 9/53
57 h-m-p 0.0000 0.0000 3381.0045 YC 7411.459280 1 0.0000 3423 | 9/53
58 h-m-p 0.0000 0.0000 6589.5788 +YYYCC 7401.666057 4 0.0000 3485 | 9/53
59 h-m-p 0.0000 0.0000 24659.7482 +YYCCC 7391.690439 4 0.0000 3548 | 9/53
60 h-m-p 0.0000 0.0000 19313.7074 YCCC 7384.344294 3 0.0000 3609 | 9/53
61 h-m-p 0.0000 0.0000 6487.8988 +YYCCC 7378.961290 4 0.0000 3672 | 9/53
62 h-m-p 0.0000 0.0000 3290.0850 YCCC 7376.303402 3 0.0000 3733 | 9/53
63 h-m-p 0.0000 0.0000 1086.9064 CCC 7375.941297 2 0.0000 3793 | 9/53
64 h-m-p 0.0000 0.0000 560.5461 CCCC 7375.496096 3 0.0000 3855 | 9/53
65 h-m-p 0.0000 0.0000 688.1216 YC 7375.215725 1 0.0000 3912 | 9/53
66 h-m-p 0.0000 0.0000 480.2569 C 7375.020844 0 0.0000 3968 | 9/53
67 h-m-p 0.0000 0.0001 347.3794 CCC 7374.765337 2 0.0000 4028 | 9/53
68 h-m-p 0.0000 0.0000 880.0308 YYC 7374.404786 2 0.0000 4086 | 9/53
69 h-m-p 0.0000 0.0001 592.1083 CC 7373.993532 1 0.0000 4144 | 9/53
70 h-m-p 0.0000 0.0001 650.5094 YYC 7373.693547 2 0.0000 4202 | 9/53
71 h-m-p 0.0000 0.0000 598.8749 CCC 7373.436727 2 0.0000 4262 | 9/53
72 h-m-p 0.0000 0.0002 713.6575 +YCC 7372.543954 2 0.0000 4322 | 9/53
73 h-m-p 0.0000 0.0001 3715.8037 +YYYC 7366.587798 3 0.0000 4382 | 9/53
74 h-m-p 0.0000 0.0000 12113.1497 YCCCC 7360.439261 4 0.0000 4445 | 9/53
75 h-m-p 0.0000 0.0000 17179.7694 YCCCC 7356.532894 4 0.0000 4508 | 9/53
76 h-m-p 0.0000 0.0000 15559.0770 +YCYCCC 7350.062245 5 0.0000 4573 | 9/53
77 h-m-p 0.0000 0.0000 5501.4905 YCCCC 7346.069773 4 0.0000 4636 | 9/53
78 h-m-p 0.0000 0.0001 11532.0533 CCCC 7338.466068 3 0.0000 4698 | 9/53
79 h-m-p 0.0000 0.0000 3768.3454 YCCCC 7337.072785 4 0.0000 4761 | 9/53
80 h-m-p 0.0000 0.0001 1839.1764 CCCC 7335.897448 3 0.0000 4823 | 9/53
81 h-m-p 0.0000 0.0001 1494.3032 YC 7335.561232 1 0.0000 4880 | 9/53
82 h-m-p 0.0001 0.0003 146.6980 CC 7335.504045 1 0.0000 4938 | 9/53
83 h-m-p 0.0000 0.0003 108.8099 YC 7335.476280 1 0.0000 4995 | 9/53
84 h-m-p 0.0001 0.0022 12.9895 -C 7335.475542 0 0.0000 5052 | 9/53
85 h-m-p 0.0000 0.0048 4.8384 YC 7335.474671 1 0.0000 5109 | 9/53
86 h-m-p 0.0001 0.0057 2.8261 C 7335.472773 0 0.0001 5165 | 9/53
87 h-m-p 0.0000 0.0061 5.7381 +++YYYC 7335.024887 3 0.0017 5227 | 9/53
88 h-m-p 0.0000 0.0002 1833.0404 ++YYCCC 7324.544453 4 0.0001 5291 | 9/53
89 h-m-p 0.3699 1.8495 0.2410 YCC 7322.069883 2 0.7730 5350 | 9/53
90 h-m-p 0.6764 3.3821 0.1834 YCCC 7320.825118 3 1.2613 5455 | 9/53
91 h-m-p 0.3846 1.9232 0.1661 YCCC 7320.387646 3 0.6707 5560 | 9/53
92 h-m-p 0.8494 4.2469 0.1311 CCC 7320.076611 2 0.7296 5664 | 9/53
93 h-m-p 1.4764 7.3819 0.0411 YCC 7319.952714 2 1.1682 5767 | 9/53
94 h-m-p 1.6000 8.0000 0.0127 YC 7319.934845 1 1.0233 5868 | 9/53
95 h-m-p 1.6000 8.0000 0.0024 YC 7319.931435 1 0.9636 5969 | 9/53
96 h-m-p 1.6000 8.0000 0.0012 YC 7319.930236 1 0.8158 6070 | 9/53
97 h-m-p 0.3508 8.0000 0.0028 +C 7319.929470 0 1.2479 6171 | 9/53
98 h-m-p 1.6000 8.0000 0.0006 Y 7319.929186 0 1.2280 6271 | 9/53
99 h-m-p 1.6000 8.0000 0.0001 C 7319.929061 0 1.3218 6371 | 9/53
100 h-m-p 0.4293 8.0000 0.0003 +Y 7319.929036 0 1.3215 6472 | 9/53
101 h-m-p 1.5431 8.0000 0.0003 Y 7319.929031 0 1.0909 6572 | 9/53
102 h-m-p 1.6000 8.0000 0.0001 C 7319.929030 0 1.6888 6672 | 9/53
103 h-m-p 1.6000 8.0000 0.0000 Y 7319.929029 0 1.2387 6772 | 9/53
104 h-m-p 0.3657 8.0000 0.0000 ++C 7319.929029 0 5.3885 6874 | 9/53
105 h-m-p 1.5977 8.0000 0.0001 --Y 7319.929029 0 0.0410 6976 | 9/53
106 h-m-p 0.0440 8.0000 0.0001 -C 7319.929029 0 0.0028 7077 | 9/53
107 h-m-p 0.0160 8.0000 0.0000 -------------.. | 9/53
108 h-m-p 0.0000 0.0179 0.4781 --------- | 9/53
109 h-m-p 0.0000 0.0179 0.4781 ---------
Out..
lnL = -7319.929029
7403 lfun, 22209 eigenQcodon, 740300 P(t)
end of tree file.
Time used: 7:58
Model 2: PositiveSelection
TREE # 1
(29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.017477 0.061834 0.048966 0.077611 0.061913 0.092557 0.026897 0.045826 0.066373 0.062358 0.039725 0.019370 0.097956 0.071073 0.050890 0.052063 0.085340 0.053957 0.042533 0.058790 0.075879 0.010294 0.084662 0.054019 0.024249 0.073313 0.047569 0.033975 0.104815 0.019849 0.037199 0.038401 0.014925 0.093188 0.108163 0.102846 0.011301 0.087535 0.084059 0.087421 0.096731 0.017539 0.089824 0.042950 0.049234 0.071311 0.075768 0.050472 0.060901 0.020384 3.025651 1.580095 0.275044 0.174339 1.365090
ntime & nrate & np: 50 3 55
Bounds (np=55):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 5.753425
np = 55
lnL0 = -9052.835746
Iterating by ming2
Initial: fx= 9052.835746
x= 0.01748 0.06183 0.04897 0.07761 0.06191 0.09256 0.02690 0.04583 0.06637 0.06236 0.03973 0.01937 0.09796 0.07107 0.05089 0.05206 0.08534 0.05396 0.04253 0.05879 0.07588 0.01029 0.08466 0.05402 0.02425 0.07331 0.04757 0.03397 0.10482 0.01985 0.03720 0.03840 0.01493 0.09319 0.10816 0.10285 0.01130 0.08754 0.08406 0.08742 0.09673 0.01754 0.08982 0.04295 0.04923 0.07131 0.07577 0.05047 0.06090 0.02038 3.02565 1.58009 0.27504 0.17434 1.36509
1 h-m-p 0.0000 0.0000 4969.8291 ++ 8574.384277 m 0.0000 115 | 0/55
2 h-m-p 0.0000 0.0000 121581.1318 ++ 8569.391262 m 0.0000 228 | 1/55
3 h-m-p 0.0000 0.0000 15517.8214 ++ 8397.404163 m 0.0000 341 | 1/55
4 h-m-p 0.0000 0.0000 151766.2690 ++ 8386.875120 m 0.0000 453 | 2/55
5 h-m-p 0.0000 0.0000 1056565.9548 ++ 8111.901328 m 0.0000 565 | 3/55
6 h-m-p 0.0000 0.0000 25745.8869 ++ 8090.099895 m 0.0000 676 | 4/55
7 h-m-p 0.0000 0.0000 180828.9723 ++ 8068.126175 m 0.0000 786 | 5/55
8 h-m-p 0.0000 0.0000 3628795.0696 ++ 8022.854756 m 0.0000 895 | 6/55
9 h-m-p 0.0000 0.0000 399545.7375 ++ 7942.076647 m 0.0000 1003 | 7/55
10 h-m-p 0.0000 0.0000 64403.9884 ++ 7906.172968 m 0.0000 1110 | 8/55
11 h-m-p 0.0000 0.0000 12820.5906 ++ 7782.427026 m 0.0000 1216 | 9/55
12 h-m-p 0.0000 0.0000 12643.9508 ++ 7703.349474 m 0.0000 1321 | 10/55
13 h-m-p 0.0000 0.0000 7454.5005 ++ 7617.330341 m 0.0000 1425 | 9/55
14 h-m-p 0.0000 0.0000 37706.7819 ++ 7574.250704 m 0.0000 1528 | 9/55
15 h-m-p -0.0000 -0.0000 15197.3482
h-m-p: -8.00312350e-22 -4.00156175e-21 1.51973482e+04 7574.250704
.. | 9/55
16 h-m-p 0.0000 0.0000 34251.7982 YCCYCCC 7550.746858 6 0.0000 1744 | 9/55
17 h-m-p 0.0000 0.0000 3828.9233 ++ 7488.712715 m 0.0000 1848 | 8/55
18 h-m-p 0.0000 0.0000 27044.8433 +YCCYC 7472.616411 4 0.0000 1960 | 8/55
19 h-m-p 0.0000 0.0000 164159.8866 ++ 7469.161903 m 0.0000 2065 | 9/55
20 h-m-p 0.0000 0.0000 9288.6716 +YCCCC 7427.958493 4 0.0000 2179 | 9/55
21 h-m-p 0.0000 0.0000 13241.5184 +YCYCCC 7424.234889 5 0.0000 2292 | 9/55
22 h-m-p 0.0000 0.0000 85233.3930 +YYCCCC 7410.819277 5 0.0000 2405 | 9/55
23 h-m-p 0.0000 0.0000 5094.1072 +YCCCC 7404.404622 4 0.0000 2517 | 9/55
24 h-m-p 0.0000 0.0000 5724.9000 +YYCCC 7396.484023 4 0.0000 2628 | 9/55
25 h-m-p 0.0000 0.0000 4860.9977 YCCC 7393.989377 3 0.0000 2737 | 9/55
26 h-m-p 0.0000 0.0000 3163.0106 YCCCC 7391.702137 4 0.0000 2848 | 9/55
27 h-m-p 0.0000 0.0000 1963.6053 CCCC 7389.481045 3 0.0000 2958 | 9/55
28 h-m-p 0.0000 0.0000 2341.6481 CCCC 7386.492541 3 0.0000 3068 | 9/55
29 h-m-p 0.0000 0.0000 1616.4029 CCCC 7383.678328 3 0.0000 3178 | 9/55
30 h-m-p 0.0000 0.0000 1654.6458 YCCCC 7380.421758 4 0.0000 3289 | 9/55
31 h-m-p 0.0000 0.0000 3689.5396 CCC 7378.118425 2 0.0000 3397 | 9/55
32 h-m-p 0.0000 0.0000 3738.4832 CCC 7375.437615 2 0.0000 3505 | 9/55
33 h-m-p 0.0000 0.0000 2231.4950 YCCCC 7373.731473 4 0.0000 3616 | 9/55
34 h-m-p 0.0000 0.0000 1065.6223 YCCC 7372.113087 3 0.0000 3725 | 9/55
35 h-m-p 0.0000 0.0000 2030.6279 ++ 7368.394958 m 0.0000 3829 | 10/55
36 h-m-p 0.0000 0.0000 976.9527 YCCC 7367.787087 3 0.0000 3938 | 10/55
37 h-m-p 0.0000 0.0000 547.2017 CCCC 7367.399742 3 0.0000 4047 | 10/55
38 h-m-p 0.0000 0.0001 828.3949 YCCC 7365.480127 3 0.0000 4155 | 10/55
39 h-m-p 0.0000 0.0000 3617.9081 YCCC 7363.389999 3 0.0000 4263 | 10/55
40 h-m-p 0.0000 0.0000 2077.7507 YCCC 7361.562280 3 0.0000 4371 | 10/55
41 h-m-p 0.0000 0.0000 2935.8852 YC 7357.936012 1 0.0000 4475 | 10/55
42 h-m-p 0.0000 0.0000 2141.8873 CCC 7356.552804 2 0.0000 4582 | 10/55
43 h-m-p 0.0000 0.0001 793.1987 YCC 7355.970271 2 0.0000 4688 | 10/55
44 h-m-p 0.0000 0.0000 348.9067 CC 7355.827719 1 0.0000 4793 | 10/55
45 h-m-p 0.0000 0.0001 191.6324 C 7355.722572 0 0.0000 4896 | 10/55
46 h-m-p 0.0000 0.0003 323.2490 YCC 7355.541427 2 0.0000 5002 | 10/55
47 h-m-p 0.0000 0.0001 818.9294 CC 7355.143615 1 0.0000 5107 | 10/55
48 h-m-p 0.0000 0.0002 656.8215 YCCC 7354.431407 3 0.0000 5215 | 10/55
49 h-m-p 0.0000 0.0001 1853.6687 +YCC 7352.471985 2 0.0000 5322 | 10/55
50 h-m-p 0.0000 0.0000 4175.4732 YCCC 7349.521391 3 0.0000 5430 | 10/55
51 h-m-p 0.0000 0.0001 4294.1174 CCCC 7346.299939 3 0.0000 5539 | 10/55
52 h-m-p 0.0000 0.0000 6441.4766 +YCYCC 7339.740635 4 0.0000 5649 | 10/55
53 h-m-p 0.0000 0.0000 15445.6262 YCCC 7334.306672 3 0.0000 5757 | 10/55
54 h-m-p 0.0000 0.0000 11671.1919 CYC 7332.318580 2 0.0000 5863 | 10/55
55 h-m-p 0.0000 0.0001 958.2069 YC 7331.925747 1 0.0000 5967 | 10/55
56 h-m-p 0.0001 0.0004 58.4446 YC 7331.910692 1 0.0000 6071 | 9/55
57 h-m-p 0.0000 0.0027 110.6158 +YC 7331.343600 1 0.0001 6176 | 9/55
58 h-m-p 0.0000 0.0002 85.9437 CC 7331.312349 1 0.0000 6282 | 9/55
59 h-m-p 0.0001 0.0016 17.1834 CC 7331.310516 1 0.0000 6388 | 9/55
60 h-m-p 0.0009 0.4294 2.1703 ++++CCCC 7327.520623 3 0.2311 6502 | 9/55
61 h-m-p 0.1623 0.8115 2.5311 +YYCYCYC 7319.873722 6 0.7096 6616 | 9/55
62 h-m-p 0.2217 1.1086 2.8144 CCC 7317.703952 2 0.3337 6724 | 9/55
63 h-m-p 0.6467 3.2336 0.9017 YCCC 7317.077776 3 0.3820 6833 | 9/55
64 h-m-p 0.4183 2.1324 0.8235 YYC 7316.417280 2 0.3554 6939 | 9/55
65 h-m-p 0.6146 4.9359 0.4763 YCC 7315.906619 2 1.0279 7046 | 9/55
66 h-m-p 0.4196 2.0982 0.1663 CYCC 7315.615934 3 0.7808 7155 | 9/55
67 h-m-p 0.2061 4.1245 0.6299 +YYC 7315.233466 2 0.7148 7262 | 9/55
68 h-m-p 1.6000 8.0000 0.2651 CCC 7314.689973 2 1.6538 7370 | 9/55
69 h-m-p 1.5426 8.0000 0.2842 CYC 7314.187392 2 1.4959 7477 | 9/55
70 h-m-p 1.6000 8.0000 0.1310 CCC 7313.924589 2 1.6581 7585 | 9/55
71 h-m-p 1.2693 6.3464 0.1677 CC 7313.792999 1 1.2708 7691 | 9/55
72 h-m-p 1.6000 8.0000 0.0651 YC 7313.726865 1 0.9560 7796 | 9/55
73 h-m-p 0.7291 8.0000 0.0854 YC 7313.681073 1 1.8043 7901 | 9/55
74 h-m-p 1.6000 8.0000 0.0427 CC 7313.618942 1 2.3539 8007 | 9/55
75 h-m-p 0.8353 8.0000 0.1204 +YC 7313.540641 1 2.3484 8113 | 9/55
76 h-m-p 1.4943 8.0000 0.1893 CCC 7313.443834 2 2.0643 8221 | 9/55
77 h-m-p 1.6000 8.0000 0.1894 CYC 7313.342806 2 1.9284 8328 | 9/55
78 h-m-p 1.5050 8.0000 0.2426 YC 7313.304957 1 1.0764 8433 | 9/55
79 h-m-p 1.6000 8.0000 0.1263 YC 7313.288568 1 1.2010 8538 | 9/55
80 h-m-p 1.4428 8.0000 0.1051 YC 7313.284710 1 1.0513 8643 | 9/55
81 h-m-p 1.6000 8.0000 0.0210 YC 7313.282644 1 0.9885 8748 | 9/55
82 h-m-p 0.6622 8.0000 0.0313 +YC 7313.277507 1 3.7919 8854 | 9/55
83 h-m-p 1.6000 8.0000 0.0479 +CC 7313.249959 1 5.7220 8961 | 9/55
84 h-m-p 1.6000 8.0000 0.0989 C 7313.230699 0 1.4397 9065 | 9/55
85 h-m-p 1.6000 8.0000 0.0524 YC 7313.225546 1 1.2364 9170 | 9/55
86 h-m-p 1.6000 8.0000 0.0107 YC 7313.224923 1 1.1529 9275 | 9/55
87 h-m-p 1.6000 8.0000 0.0062 Y 7313.224818 0 1.2232 9379 | 9/55
88 h-m-p 1.6000 8.0000 0.0006 Y 7313.224721 0 3.4746 9483 | 9/55
89 h-m-p 1.6000 8.0000 0.0013 +Y 7313.224457 0 5.0060 9588 | 9/55
90 h-m-p 0.9184 8.0000 0.0070 ++ 7313.223231 m 8.0000 9692 | 9/55
91 h-m-p 0.8828 8.0000 0.0635 +C 7313.219337 0 3.8269 9797 | 9/55
92 h-m-p 1.4162 8.0000 0.1716 +YC 7313.211867 1 4.0893 9903 | 9/55
93 h-m-p 1.6000 8.0000 0.2170 YC 7313.206630 1 2.6126 10008 | 9/55
94 h-m-p 1.6000 8.0000 0.3005 C 7313.204228 0 1.8984 10112 | 9/55
95 h-m-p 1.6000 8.0000 0.2270 YC 7313.202638 1 2.8623 10217 | 9/55
96 h-m-p 1.6000 8.0000 0.3974 C 7313.201754 0 1.8800 10321 | 9/55
97 h-m-p 1.6000 8.0000 0.2863 C 7313.201409 0 1.9386 10425 | 9/55
98 h-m-p 1.5271 8.0000 0.3634 C 7313.201175 0 2.4076 10529 | 9/55
99 h-m-p 1.6000 8.0000 0.3574 C 7313.201061 0 1.9851 10633 | 9/55
100 h-m-p 1.6000 8.0000 0.3384 C 7313.201021 0 2.1078 10737 | 9/55
101 h-m-p 1.6000 8.0000 0.3860 Y 7313.200994 0 3.0140 10841 | 9/55
102 h-m-p 1.6000 8.0000 0.3191 C 7313.200986 0 1.6000 10945 | 9/55
103 h-m-p 1.3620 8.0000 0.3749 Y 7313.200982 0 3.3513 11049 | 9/55
104 h-m-p 1.6000 8.0000 0.4091 C 7313.200979 0 2.0621 11153 | 9/55
105 h-m-p 1.6000 8.0000 0.1867 Y 7313.200979 0 0.9541 11257 | 9/55
106 h-m-p 0.3892 8.0000 0.4577 Y 7313.200979 0 0.9504 11361 | 9/55
107 h-m-p 0.7882 8.0000 0.5518 +C 7313.200979 0 3.1529 11466 | 9/55
108 h-m-p 1.6000 8.0000 0.2517 Y 7313.200978 0 3.8700 11570 | 9/55
109 h-m-p 1.6000 8.0000 0.2188 ---Y 7313.200978 0 0.0116 11677 | 9/55
110 h-m-p 0.0160 8.0000 1.3298 C 7313.200978 0 0.0039 11781 | 9/55
111 h-m-p 0.0301 8.0000 0.1702 -C 7313.200978 0 0.0019 11886 | 9/55
112 h-m-p 0.0160 8.0000 2.2255 -------------.. | 9/55
113 h-m-p 0.0000 0.0084 0.2859 --------
Out..
lnL = -7313.200978
12112 lfun, 48448 eigenQcodon, 1816800 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 21 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -7323.634245 S = -7041.143316 -284.704718
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 324 patterns 27:30
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did 60 / 324 patterns 27:31
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did 130 / 324 patterns 27:31
did 140 / 324 patterns 27:31
did 150 / 324 patterns 27:31
did 160 / 324 patterns 27:31
did 170 / 324 patterns 27:31
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did 250 / 324 patterns 27:31
did 260 / 324 patterns 27:32
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did 290 / 324 patterns 27:32
did 300 / 324 patterns 27:32
did 310 / 324 patterns 27:32
did 320 / 324 patterns 27:32
did 324 / 324 patterns 27:32end of tree file.
Time used: 27:32
Model 7: beta
TREE # 1
(29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.014972 0.109557 0.013633 0.028421 0.014652 0.100226 0.062858 0.027960 0.102331 0.038471 0.057916 0.047395 0.053429 0.081345 0.035302 0.107978 0.051173 0.055728 0.094125 0.032215 0.083789 0.017447 0.083874 0.108607 0.070885 0.071244 0.039349 0.100820 0.073724 0.062513 0.104945 0.049736 0.019069 0.026762 0.065482 0.091798 0.041294 0.057721 0.075764 0.092118 0.022437 0.030039 0.056058 0.065753 0.084899 0.087509 0.095671 0.035611 0.066458 0.082766 3.131173 0.918345 1.404186
ntime & nrate & np: 50 1 53
Bounds (np=53):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 6.358693
np = 53
lnL0 = -9386.666250
Iterating by ming2
Initial: fx= 9386.666250
x= 0.01497 0.10956 0.01363 0.02842 0.01465 0.10023 0.06286 0.02796 0.10233 0.03847 0.05792 0.04740 0.05343 0.08134 0.03530 0.10798 0.05117 0.05573 0.09412 0.03222 0.08379 0.01745 0.08387 0.10861 0.07088 0.07124 0.03935 0.10082 0.07372 0.06251 0.10494 0.04974 0.01907 0.02676 0.06548 0.09180 0.04129 0.05772 0.07576 0.09212 0.02244 0.03004 0.05606 0.06575 0.08490 0.08751 0.09567 0.03561 0.06646 0.08277 3.13117 0.91835 1.40419
1 h-m-p 0.0000 0.0000 4939.8835 ++ 8866.233524 m 0.0000 111 | 0/53
2 h-m-p 0.0000 0.0000 210947.4804 ++ 8783.245921 m 0.0000 220 | 0/53
3 h-m-p 0.0000 0.0000 138048.2962 ++ 8763.633793 m 0.0000 329 | 0/53
4 h-m-p 0.0000 0.0000 4388734.2361
h-m-p: 3.98903610e-27 1.99451805e-26 4.38873424e+06 8763.633793
.. | 0/53
5 h-m-p 0.0000 0.0000 6104.5837 ++ 8570.313963 m 0.0000 544 | 0/53
6 h-m-p -0.0000 -0.0000 13020.5937
h-m-p: -1.25310055e-21 -6.26550273e-21 1.30205937e+04 8570.313963
.. | 0/53
7 h-m-p 0.0000 0.0000 5117.0039 ++ 8428.313309 m 0.0000 759 | 1/53
8 h-m-p 0.0000 0.0000 86269.0746 ++ 8349.680642 m 0.0000 868 | 2/53
9 h-m-p 0.0000 0.0000 134125.3999 ++ 8326.372970 m 0.0000 976 | 3/53
10 h-m-p 0.0000 0.0000 555529.5959 ++ 8094.468901 m 0.0000 1083 | 4/53
11 h-m-p 0.0000 0.0000 102481.9195 ++ 8040.421563 m 0.0000 1189 | 4/53
12 h-m-p 0.0000 0.0000 298489.6352 ++ 8006.470019 m 0.0000 1294 | 4/53
13 h-m-p 0.0000 0.0000 108133.4159 ++ 7960.449978 m 0.0000 1399 | 4/53
14 h-m-p 0.0000 0.0000 118147.3569 ++ 7943.090005 m 0.0000 1504 | 4/53
15 h-m-p 0.0000 0.0000 130250.4484 ++ 7942.535041 m 0.0000 1609 | 5/53
16 h-m-p 0.0000 0.0000 56203561.4174 ++ 7855.364307 m 0.0000 1714 | 5/53
17 h-m-p -0.0000 -0.0000 55719.9927
h-m-p: -1.37264753e-24 -6.86323763e-24 5.57199927e+04 7855.364307
.. | 5/53
18 h-m-p 0.0000 0.0000 7019.8322 ++ 7819.627112 m 0.0000 1919 | 5/53
19 h-m-p 0.0000 0.0000 20618.3321 +CYCYCCC 7790.592518 6 0.0000 2034 | 5/53
20 h-m-p 0.0000 0.0000 47838.4810 +YYCYYCC 7772.033531 6 0.0000 2148 | 5/53
21 h-m-p 0.0000 0.0000 8513.2918 ++ 7726.597753 m 0.0000 2252 | 6/53
22 h-m-p 0.0000 0.0000 13316.8654 ++ 7660.093188 m 0.0000 2356 | 6/53
23 h-m-p 0.0000 0.0000 179404.8579 ++ 7626.375838 m 0.0000 2459 | 7/53
24 h-m-p 0.0000 0.0000 21912.1025 ++ 7605.874971 m 0.0000 2562 | 8/53
25 h-m-p 0.0000 0.0000 29577.8319 ++ 7554.158879 m 0.0000 2664 | 8/53
26 h-m-p 0.0000 0.0000 79485.2493 ++ 7545.220049 m 0.0000 2765 | 9/53
27 h-m-p 0.0000 0.0000 107028.4967 +YYYCCCCC 7530.507114 7 0.0000 2878 | 9/53
28 h-m-p 0.0000 0.0000 4038.5513 +YYYCCC 7524.512424 5 0.0000 2986 | 9/53
29 h-m-p 0.0000 0.0000 1634.2016 +YYYCC 7520.777371 4 0.0000 3092 | 9/53
30 h-m-p 0.0000 0.0000 1543.7504 YCCC 7520.065359 3 0.0000 3197 | 9/53
31 h-m-p 0.0000 0.0000 1113.4094 CCC 7519.030925 2 0.0000 3301 | 9/53
32 h-m-p 0.0000 0.0000 1377.0304 CCC 7518.636829 2 0.0000 3405 | 9/53
33 h-m-p 0.0000 0.0000 1093.6042 YCCC 7516.968986 3 0.0000 3510 | 9/53
34 h-m-p 0.0000 0.0000 1076.2357 CCCC 7515.753154 3 0.0000 3616 | 9/53
35 h-m-p 0.0000 0.0000 755.9858 CYC 7514.907136 2 0.0000 3719 | 9/53
36 h-m-p 0.0000 0.0000 937.2723 CCC 7514.332375 2 0.0000 3823 | 9/53
37 h-m-p 0.0000 0.0000 1329.2538 CCCC 7513.732785 3 0.0000 3929 | 9/53
38 h-m-p 0.0000 0.0000 942.4972 CYCCC 7512.494465 4 0.0000 4036 | 9/53
39 h-m-p 0.0000 0.0000 1511.7283 CCC 7511.915447 2 0.0000 4140 | 9/53
40 h-m-p 0.0000 0.0000 992.5550 +YYCCC 7510.298104 4 0.0000 4247 | 9/53
41 h-m-p 0.0000 0.0000 1236.9584 +YCYC 7509.737322 3 0.0000 4352 | 9/53
42 h-m-p 0.0000 0.0000 273.6792 CCC 7509.575814 2 0.0000 4456 | 9/53
43 h-m-p 0.0000 0.0001 494.5595 +YCCCC 7508.322577 4 0.0000 4564 | 9/53
44 h-m-p 0.0000 0.0000 2725.0147 YCYCCC 7506.642379 5 0.0000 4672 | 9/53
45 h-m-p 0.0000 0.0000 4224.3892 +CYYCC 7498.057193 4 0.0000 4779 | 9/53
46 h-m-p 0.0000 0.0000 58783.0257 +CCYC 7475.848952 3 0.0000 4885 | 9/53
47 h-m-p 0.0000 0.0000 49016.6951 CYCCC 7469.225609 4 0.0000 4992 | 9/53
48 h-m-p 0.0000 0.0001 1713.0378 CCC 7468.148313 2 0.0000 5096 | 9/53
49 h-m-p 0.0000 0.0001 453.0239 YYC 7467.820718 2 0.0000 5198 | 9/53
50 h-m-p 0.0000 0.0002 154.8128 CC 7467.749178 1 0.0000 5300 | 9/53
51 h-m-p 0.0000 0.0007 50.1235 YC 7467.715955 1 0.0000 5401 | 9/53
52 h-m-p 0.0000 0.0005 94.5098 YC 7467.649668 1 0.0000 5502 | 9/53
53 h-m-p 0.0000 0.0011 107.1738 +CCC 7467.402744 2 0.0001 5607 | 9/53
54 h-m-p 0.0000 0.0005 814.9752 +CYC 7466.380997 2 0.0000 5711 | 9/53
55 h-m-p 0.0000 0.0001 2402.0972 +YCCC 7463.436579 3 0.0000 5817 | 9/53
56 h-m-p 0.0000 0.0001 4490.4886 CCC 7460.640154 2 0.0000 5921 | 9/53
57 h-m-p 0.0000 0.0002 294.3775 YCC 7460.432199 2 0.0000 6024 | 9/53
58 h-m-p 0.0001 0.0015 99.5827 YC 7460.352397 1 0.0000 6125 | 9/53
59 h-m-p 0.0004 0.0103 10.5009 CC 7460.296474 1 0.0003 6227 | 9/53
60 h-m-p 0.0000 0.0065 77.7829 +++YCCCC 7453.491988 4 0.0045 6337 | 9/53
61 h-m-p 0.0000 0.0000 4229.4887 +YYCC 7451.292620 3 0.0000 6442 | 9/53
62 h-m-p 0.0021 0.0107 3.8714 ++ 7448.528710 m 0.0107 6542 | 9/53
63 h-m-p -0.0000 -0.0000 11.7380
h-m-p: -2.63592629e-20 -1.31796314e-19 1.17380108e+01 7448.528710
.. | 9/53
64 h-m-p 0.0000 0.0000 18873.7968 YCYYYCCCC 7444.631879 8 0.0000 6751 | 9/53
65 h-m-p 0.0000 0.0000 2921.0627 +CYYCCCC 7430.055381 6 0.0000 6862 | 9/53
66 h-m-p 0.0000 0.0000 5626.9729 +YYYCCC 7423.485227 5 0.0000 6970 | 9/53
67 h-m-p 0.0000 0.0000 4329.9402 +YYYYCC 7410.864444 5 0.0000 7077 | 9/53
68 h-m-p 0.0000 0.0000 7541.5606 +YYCYYCC 7404.937429 6 0.0000 7186 | 9/53
69 h-m-p 0.0000 0.0000 2285.2306 +CYYYYY 7398.312609 5 0.0000 7293 | 9/53
70 h-m-p 0.0000 0.0000 79670.8427 ++ 7374.801660 m 0.0000 7393 | 9/53
71 h-m-p 0.0000 0.0000 122681.4353 +YCYYYCCCC 7363.062799 8 0.0000 7506 | 9/53
72 h-m-p 0.0000 0.0000 51840.8835 +YCYC 7362.489380 3 0.0000 7611 | 9/53
73 h-m-p 0.0000 0.0000 712.7216 YYC 7362.452336 2 0.0000 7713 | 9/53
74 h-m-p 0.0000 0.0000 490.0302 CC 7362.431262 1 0.0000 7815 | 9/53
75 h-m-p 0.0000 0.0000 261.8158 YCC 7362.377336 2 0.0000 7918 | 9/53
76 h-m-p 0.0000 0.0000 649.0692 YC 7362.220995 1 0.0000 8019 | 9/53
77 h-m-p 0.0000 0.0001 193.8894 CCC 7362.198412 2 0.0000 8123 | 9/53
78 h-m-p 0.0000 0.0000 264.6178 YCC 7362.175905 2 0.0000 8226 | 9/53
79 h-m-p 0.0000 0.0001 136.5281 CC 7362.163548 1 0.0000 8328 | 9/53
80 h-m-p 0.0000 0.0002 82.7284 CC 7362.157167 1 0.0000 8430 | 9/53
81 h-m-p 0.0000 0.0002 47.8630 YC 7362.153046 1 0.0000 8531 | 9/53
82 h-m-p 0.0000 0.0002 37.6646 YC 7362.150610 1 0.0000 8632 | 9/53
83 h-m-p 0.0000 0.0004 66.2622 YC 7362.145850 1 0.0000 8733 | 9/53
84 h-m-p 0.0000 0.0006 125.4537 YC 7362.137644 1 0.0000 8834 | 9/53
85 h-m-p 0.0000 0.0001 203.5035 YC 7362.122332 1 0.0000 8935 | 9/53
86 h-m-p 0.0000 0.0002 129.3836 YC 7362.113042 1 0.0000 9036 | 9/53
87 h-m-p 0.0000 0.0004 134.2294 YC 7362.106746 1 0.0000 9137 | 9/53
88 h-m-p 0.0000 0.0002 179.0002 C 7362.090968 0 0.0000 9237 | 9/53
89 h-m-p 0.0000 0.0002 442.2732 CC 7362.051944 1 0.0000 9339 | 9/53
90 h-m-p 0.0000 0.0002 563.4046 +YC 7361.908398 1 0.0000 9441 | 9/53
91 h-m-p 0.0000 0.0002 2306.7522 CYC 7361.701553 2 0.0000 9544 | 9/53
92 h-m-p 0.0000 0.0001 774.6743 CC 7361.632618 1 0.0000 9646 | 9/53
93 h-m-p 0.0000 0.0005 276.2016 YC 7361.597501 1 0.0000 9747 | 9/53
94 h-m-p 0.0000 0.0001 676.2209 YCC 7361.553510 2 0.0000 9850 | 9/53
95 h-m-p 0.0000 0.0002 160.0404 CC 7361.544218 1 0.0000 9952 | 9/53
96 h-m-p 0.0000 0.0006 57.4059 YC 7361.536990 1 0.0000 10053 | 9/53
97 h-m-p 0.0000 0.0012 45.2195 YC 7361.523837 1 0.0000 10154 | 9/53
98 h-m-p 0.0000 0.0001 196.4855 YC 7361.511089 1 0.0000 10255 | 9/53
99 h-m-p 0.0000 0.0007 164.4490 +YC 7361.461132 1 0.0000 10357 | 9/53
100 h-m-p 0.0000 0.0003 247.4839 YC 7361.368804 1 0.0000 10458 | 9/53
101 h-m-p 0.0000 0.0003 887.0123 +CCC 7360.827265 2 0.0001 10563 | 9/53
102 h-m-p 0.0000 0.0001 7943.0022 YCCC 7359.070363 3 0.0000 10668 | 9/53
103 h-m-p 0.0000 0.0001 22700.7821 +CYCCC 7346.769802 4 0.0000 10776 | 9/53
104 h-m-p 0.0000 0.0000 13918.3228 +YYCC 7341.268372 3 0.0000 10881 | 9/53
105 h-m-p 0.0000 0.0000 2752.8029 CCC 7341.013703 2 0.0000 10985 | 9/53
106 h-m-p 0.0003 0.0015 34.1731 YC 7341.001176 1 0.0000 11086 | 9/53
107 h-m-p 0.0001 0.0699 11.4069 ++++YYYCYYYYYY 7334.217590 10 0.0528 11200 | 9/53
108 h-m-p 0.0028 0.0138 17.2166 YCCC 7333.827158 3 0.0017 11305 | 9/53
109 h-m-p 0.0495 0.2930 0.5873 +YCCC 7331.032304 3 0.1223 11411 | 9/53
110 h-m-p 0.0087 0.0436 8.0098 YYYC 7328.911542 3 0.0133 11514 | 9/53
111 h-m-p 0.0537 1.1571 1.9811 +CYC 7326.686044 2 0.2602 11618 | 9/53
112 h-m-p 0.2105 1.0523 0.9586 CCC 7325.444229 2 0.3132 11722 | 9/53
113 h-m-p 0.8723 4.3615 0.1166 CCC 7324.527146 2 1.0484 11826 | 9/53
114 h-m-p 0.5686 2.8429 0.1794 CCCC 7323.545888 3 0.8306 11932 | 9/53
115 h-m-p 0.6116 3.0580 0.1116 CCC 7322.963799 2 0.8205 12036 | 9/53
116 h-m-p 1.0427 5.2137 0.0089 CYC 7322.407713 2 0.9563 12139 | 9/53
117 h-m-p 0.6975 8.0000 0.0122 YCC 7322.119938 2 1.2835 12242 | 9/53
118 h-m-p 1.2394 6.5198 0.0126 YYC 7321.813479 2 1.0166 12344 | 9/53
119 h-m-p 0.7168 7.2131 0.0179 CC 7321.685470 1 0.6176 12446 | 9/53
120 h-m-p 1.6000 8.0000 0.0058 YCC 7321.510015 2 1.3005 12549 | 9/53
121 h-m-p 1.1829 8.0000 0.0064 CC 7321.424782 1 1.4378 12651 | 9/53
122 h-m-p 1.6000 8.0000 0.0026 CC 7321.380916 1 1.5250 12753 | 9/53
123 h-m-p 1.6000 8.0000 0.0023 YC 7321.353961 1 2.6272 12854 | 9/53
124 h-m-p 1.6000 8.0000 0.0026 YC 7321.336041 1 3.2660 12955 | 9/53
125 h-m-p 1.6000 8.0000 0.0021 YC 7321.313864 1 3.3785 13056 | 9/53
126 h-m-p 1.6000 8.0000 0.0009 CC 7321.297887 1 2.3093 13158 | 9/53
127 h-m-p 1.0170 8.0000 0.0021 +YC 7321.281709 1 2.9069 13260 | 9/53
128 h-m-p 1.6000 8.0000 0.0022 YC 7321.271118 1 2.7235 13361 | 9/53
129 h-m-p 1.6000 8.0000 0.0011 YC 7321.262483 1 3.0815 13462 | 9/53
130 h-m-p 1.6000 8.0000 0.0020 CC 7321.256894 1 2.1125 13564 | 9/53
131 h-m-p 1.6000 8.0000 0.0004 C 7321.254785 0 1.8508 13664 | 9/53
132 h-m-p 1.2977 8.0000 0.0005 CC 7321.254022 1 1.9657 13766 | 9/53
133 h-m-p 1.3205 8.0000 0.0008 C 7321.253813 0 1.9254 13866 | 9/53
134 h-m-p 1.6000 8.0000 0.0001 Y 7321.253650 0 3.4240 13966 | 9/53
135 h-m-p 1.0141 8.0000 0.0002 +C 7321.253298 0 4.5856 14067 | 9/53
136 h-m-p 1.6000 8.0000 0.0004 Y 7321.253044 0 2.9351 14167 | 9/53
137 h-m-p 1.6000 8.0000 0.0005 Y 7321.252857 0 2.7500 14267 | 9/53
138 h-m-p 1.6000 8.0000 0.0002 C 7321.252820 0 1.6868 14367 | 9/53
139 h-m-p 1.6000 8.0000 0.0001 C 7321.252810 0 2.3976 14467 | 9/53
140 h-m-p 1.6000 8.0000 0.0000 C 7321.252808 0 1.8021 14567 | 9/53
141 h-m-p 0.5199 8.0000 0.0001 +Y 7321.252805 0 1.5365 14668 | 9/53
142 h-m-p 1.6000 8.0000 0.0001 C 7321.252803 0 2.1331 14768 | 9/53
143 h-m-p 1.6000 8.0000 0.0000 +C 7321.252798 0 5.9532 14869 | 9/53
144 h-m-p 1.6000 8.0000 0.0001 Y 7321.252792 0 3.4051 14969 | 9/53
145 h-m-p 1.6000 8.0000 0.0001 Y 7321.252791 0 1.0795 15069 | 9/53
146 h-m-p 1.5045 8.0000 0.0000 C 7321.252789 0 1.4008 15169 | 9/53
147 h-m-p 0.5110 8.0000 0.0001 +C 7321.252787 0 2.2124 15270 | 9/53
148 h-m-p 1.6000 8.0000 0.0001 C 7321.252785 0 2.1343 15370 | 9/53
149 h-m-p 1.6000 8.0000 0.0001 C 7321.252785 0 0.6107 15470 | 9/53
150 h-m-p 1.0623 8.0000 0.0000 ------Y 7321.252785 0 0.0001 15576
Out..
lnL = -7321.252785
15577 lfun, 171347 eigenQcodon, 7788500 P(t)
end of tree file.
Time used: 1:50:30
Model 8: beta&w>1
TREE # 1
(29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.082302 0.029372 0.046053 0.061171 0.053758 0.102257 0.095133 0.029532 0.058405 0.097422 0.069058 0.016592 0.031269 0.036872 0.042919 0.075445 0.021770 0.079689 0.065057 0.046001 0.086128 0.075201 0.098643 0.025494 0.069895 0.069178 0.108851 0.063099 0.010322 0.048991 0.012826 0.102117 0.063232 0.088675 0.084636 0.068152 0.034091 0.029828 0.082391 0.076721 0.067968 0.109295 0.039712 0.108736 0.028072 0.019562 0.038753 0.077297 0.067543 0.062797 3.017016 0.900000 0.669440 1.742267 1.300000
ntime & nrate & np: 50 2 55
Bounds (np=55):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 6.664292
np = 55
lnL0 = -9191.733611
Iterating by ming2
Initial: fx= 9191.733611
x= 0.08230 0.02937 0.04605 0.06117 0.05376 0.10226 0.09513 0.02953 0.05841 0.09742 0.06906 0.01659 0.03127 0.03687 0.04292 0.07544 0.02177 0.07969 0.06506 0.04600 0.08613 0.07520 0.09864 0.02549 0.06989 0.06918 0.10885 0.06310 0.01032 0.04899 0.01283 0.10212 0.06323 0.08867 0.08464 0.06815 0.03409 0.02983 0.08239 0.07672 0.06797 0.10930 0.03971 0.10874 0.02807 0.01956 0.03875 0.07730 0.06754 0.06280 3.01702 0.90000 0.66944 1.74227 1.30000
1 h-m-p 0.0000 0.0000 4732.0525 ++ 8825.481626 m 0.0000 115 | 1/55
2 h-m-p 0.0000 0.0000 31597.0472 ++ 8599.985458 m 0.0000 228 | 1/55
3 h-m-p 0.0000 0.0000 370417.7733 ++ 8542.616284 m 0.0000 340 | 1/55
4 h-m-p 0.0000 0.0000 136474.0871 ++ 8373.649223 m 0.0000 452 | 1/55
5 h-m-p 0.0000 0.0000 152784.8489 ++ 8337.944298 m 0.0000 564 | 1/55
6 h-m-p 0.0000 0.0000 247915.5216 ++ 8302.389403 m 0.0000 676 | 1/55
7 h-m-p 0.0000 0.0000 286962.3373
h-m-p: 3.52284808e-23 1.76142404e-22 2.86962337e+05 8302.389403
.. | 1/55
8 h-m-p 0.0000 0.0000 27611.2089 YYCCC 8296.362062 4 0.0000 903 | 1/55
9 h-m-p 0.0000 0.0000 4456.1615 ++ 8283.930218 m 0.0000 1015 | 2/55
10 h-m-p 0.0000 0.0000 119684.4956 ++ 8155.931119 m 0.0000 1127 | 3/55
11 h-m-p 0.0000 0.0000 588728.5219 ++ 8027.706555 m 0.0000 1238 | 3/55
12 h-m-p 0.0000 0.0000 101380.9525 ++ 7910.080232 m 0.0000 1348 | 3/55
13 h-m-p 0.0000 0.0000 171086.1864 ++ 7753.775370 m 0.0000 1458 | 4/55
14 h-m-p 0.0000 0.0000 41504.8626 ++ 7734.742046 m 0.0000 1568 | 4/55
15 h-m-p 0.0000 0.0000 64028.3641 ++ 7708.221085 m 0.0000 1677 | 5/55
16 h-m-p 0.0000 0.0000 123060.3749 ++ 7691.521039 m 0.0000 1786 | 6/55
17 h-m-p 0.0000 0.0000 11622.5860 ++ 7632.310298 m 0.0000 1894 | 5/55
18 h-m-p -0.0000 -0.0000 148108.4878
h-m-p: -1.12565287e-24 -5.62826436e-24 1.48108488e+05 7632.310298
.. | 5/55
19 h-m-p 0.0000 0.0000 136959.2971 -CCYYCYCYC 7621.391326 8 0.0000 2119 | 5/55
20 h-m-p 0.0000 0.0000 4980.4661 ++ 7620.597284 m 0.0000 2227 | 6/55
21 h-m-p 0.0000 0.0000 7590.6294 +YYCYYCC 7582.151847 6 0.0000 2345 | 6/55
22 h-m-p 0.0000 0.0000 78388.3915 ++ 7581.531169 m 0.0000 2452 | 6/55
23 h-m-p 0.0000 0.0000 12439.1540 ++ 7564.603923 m 0.0000 2559 | 6/55
24 h-m-p 0.0000 0.0000 29879.3130 ++ 7543.315134 m 0.0000 2666 | 6/55
25 h-m-p 0.0000 0.0000 148856.7208 ++ 7524.351880 m 0.0000 2773 | 6/55
26 h-m-p 0.0000 0.0000 1050552.7999 +YCYYYC 7517.180941 5 0.0000 2887 | 6/55
27 h-m-p 0.0000 0.0000 43025.9928 ++ 7502.141503 m 0.0000 2994 | 6/55
28 h-m-p 0.0000 0.0000 170651.5424 ++ 7488.994331 m 0.0000 3101 | 6/55
29 h-m-p 0.0000 0.0000 128075.0313 +CCCC 7479.511259 3 0.0000 3216 | 6/55
30 h-m-p 0.0000 0.0000 968558.4162 ++ 7468.970522 m 0.0000 3323 | 7/55
31 h-m-p 0.0000 0.0000 14044.2429 +YYYYC 7460.828284 4 0.0000 3435 | 7/55
32 h-m-p 0.0000 0.0000 20660.3462 ++ 7451.261511 m 0.0000 3541 | 8/55
33 h-m-p 0.0000 0.0000 43058.3034 ++ 7431.202120 m 0.0000 3647 | 9/55
34 h-m-p 0.0000 0.0000 7858.3187 +CYCCC 7420.822735 4 0.0000 3760 | 9/55
35 h-m-p 0.0000 0.0000 2479.3827 +YYCCC 7418.940848 4 0.0000 3871 | 9/55
36 h-m-p 0.0000 0.0000 3547.1699 YCYCCC 7415.630548 5 0.0000 3983 | 9/55
37 h-m-p 0.0000 0.0000 3062.2499 CCCC 7413.262975 3 0.0000 4093 | 9/55
38 h-m-p 0.0000 0.0000 1313.1662 CCCCC 7408.818951 4 0.0000 4205 | 9/55
39 h-m-p 0.0000 0.0000 1456.5401 CYCCC 7408.300108 4 0.0000 4316 | 9/55
40 h-m-p 0.0000 0.0000 1245.2214 CCCC 7407.035709 3 0.0000 4426 | 9/55
41 h-m-p 0.0000 0.0000 1714.5165 CYCCC 7406.466401 4 0.0000 4537 | 9/55
42 h-m-p 0.0000 0.0000 1349.6332 CCCC 7405.656659 3 0.0000 4647 | 9/55
43 h-m-p 0.0000 0.0001 863.2958 YCCC 7403.173326 3 0.0000 4756 | 9/55
44 h-m-p 0.0000 0.0001 1872.4192 YCCCC 7398.510212 4 0.0000 4867 | 9/55
45 h-m-p 0.0000 0.0000 2566.9151 YCYCCC 7396.444845 5 0.0000 4979 | 9/55
46 h-m-p 0.0000 0.0000 3829.3956 +YCCCC 7390.312340 4 0.0000 5091 | 9/55
47 h-m-p 0.0000 0.0000 8033.0089 +YCCC 7385.996479 3 0.0000 5201 | 9/55
48 h-m-p 0.0000 0.0000 1166.1134 ++ 7385.343703 m 0.0000 5305 | 9/55
49 h-m-p 0.0000 0.0000 551.8484
h-m-p: 0.00000000e+00 0.00000000e+00 5.51848447e+02 7385.343703
.. | 9/55
50 h-m-p 0.0000 0.0000 248669.5785 --YYCYYCCC 7372.948206 7 0.0000 5522 | 9/55
51 h-m-p 0.0000 0.0000 6898.8403 CYYC 7364.904110 3 0.0000 5631 | 9/55
52 h-m-p 0.0000 0.0000 2493.4821 +YCCCC 7355.462373 4 0.0000 5743 | 9/55
53 h-m-p 0.0000 0.0000 1506.8799 YCYC 7353.461587 3 0.0000 5851 | 9/55
54 h-m-p 0.0000 0.0000 1124.0486 CCCC 7352.568557 3 0.0000 5961 | 9/55
55 h-m-p 0.0000 0.0000 1370.7234 CCC 7351.635138 2 0.0000 6069 | 9/55
56 h-m-p 0.0000 0.0000 1111.0731 YCCC 7350.342499 3 0.0000 6178 | 9/55
57 h-m-p 0.0000 0.0000 2021.0381 CCC 7349.906146 2 0.0000 6286 | 9/55
58 h-m-p 0.0000 0.0000 793.1138 CCCC 7349.311119 3 0.0000 6396 | 9/55
59 h-m-p 0.0000 0.0000 436.5249 YYC 7349.119292 2 0.0000 6502 | 9/55
60 h-m-p 0.0000 0.0000 491.6500 CC 7348.976996 1 0.0000 6608 | 9/55
61 h-m-p 0.0000 0.0000 323.8089 CC 7348.891082 1 0.0000 6714 | 9/55
62 h-m-p 0.0000 0.0001 513.1152 YCC 7348.713068 2 0.0000 6821 | 9/55
63 h-m-p 0.0000 0.0001 530.4497 YCC 7348.523739 2 0.0000 6928 | 9/55
64 h-m-p 0.0000 0.0001 899.5148 CCC 7347.988024 2 0.0000 7036 | 9/55
65 h-m-p 0.0000 0.0001 1291.9585 CC 7347.191043 1 0.0000 7142 | 9/55
66 h-m-p 0.0000 0.0000 3215.6175 YCCC 7346.532743 3 0.0000 7251 | 9/55
67 h-m-p 0.0000 0.0000 3640.3414 CCCC 7345.665802 3 0.0000 7361 | 9/55
68 h-m-p 0.0000 0.0000 2575.4541 YCCC 7344.058566 3 0.0000 7470 | 9/55
69 h-m-p 0.0000 0.0000 5406.1442 YCCC 7341.982993 3 0.0000 7579 | 9/55
70 h-m-p 0.0000 0.0000 13178.0416 YCCC 7339.885179 3 0.0000 7688 | 9/55
71 h-m-p 0.0000 0.0000 10484.1287 YCCC 7336.588607 3 0.0000 7797 | 9/55
72 h-m-p 0.0000 0.0000 6054.2348 CCC 7334.041604 2 0.0000 7905 | 9/55
73 h-m-p 0.0000 0.0000 7386.9337 +YCCC 7330.746101 3 0.0000 8015 | 9/55
74 h-m-p 0.0000 0.0000 6866.6873 CCCC 7328.398314 3 0.0000 8125 | 9/55
75 h-m-p 0.0000 0.0000 3578.2869 CCCC 7326.149053 3 0.0000 8235 | 9/55
76 h-m-p 0.0000 0.0000 3821.4172 CCCC 7325.255917 3 0.0000 8345 | 9/55
77 h-m-p 0.0000 0.0000 981.4738 CCC 7325.076653 2 0.0000 8453 | 9/55
78 h-m-p 0.0000 0.0001 224.3156 CC 7325.024354 1 0.0000 8559 | 9/55
79 h-m-p 0.0000 0.0003 118.6535 YC 7324.993971 1 0.0000 8664 | 9/55
80 h-m-p 0.0000 0.0003 84.8712 CC 7324.969268 1 0.0000 8770 | 9/55
81 h-m-p 0.0000 0.0002 131.9874 YC 7324.952933 1 0.0000 8875 | 9/55
82 h-m-p 0.0000 0.0005 56.0467 YC 7324.943848 1 0.0000 8980 | 9/55
83 h-m-p 0.0000 0.0003 80.8785 YC 7324.937146 1 0.0000 9085 | 9/55
84 h-m-p 0.0000 0.0004 50.1640 YC 7324.933738 1 0.0000 9190 | 9/55
85 h-m-p 0.0000 0.0009 53.9125 YC 7324.926872 1 0.0000 9295 | 9/55
86 h-m-p 0.0000 0.0007 96.2025 +CC 7324.896733 1 0.0000 9402 | 9/55
87 h-m-p 0.0000 0.0007 474.5052 +YC 7324.792761 1 0.0000 9508 | 9/55
88 h-m-p 0.0000 0.0005 891.1118 +CC 7324.374927 1 0.0001 9615 | 9/55
89 h-m-p 0.0000 0.0004 4308.9532 YCCC 7323.785380 3 0.0000 9724 | 9/55
90 h-m-p 0.0000 0.0002 6142.8915 +YYC 7321.810733 2 0.0000 9831 | 9/55
91 h-m-p 0.0000 0.0001 13271.6310 YCC 7320.292912 2 0.0000 9938 | 9/55
92 h-m-p 0.0004 0.0022 8.1609 -YC 7320.292350 1 0.0000 10044 | 9/55
93 h-m-p 0.0000 0.0117 10.7315 ++YC 7320.284976 1 0.0002 10151 | 9/55
94 h-m-p 0.0000 0.0055 156.6611 +++CCC 7319.594237 2 0.0015 10262 | 9/55
95 h-m-p 0.5175 3.7755 0.4585 CCC 7317.748234 2 0.7375 10370 | 9/55
96 h-m-p 0.1880 3.2427 1.7990 CYC 7317.300377 2 0.1620 10477 | 9/55
97 h-m-p 1.1002 5.5012 0.1722 CYCCC 7316.235482 4 1.8686 10588 | 9/55
98 h-m-p 1.1911 5.9554 0.2639 CYCCC 7315.202293 4 1.9088 10699 | 9/55
99 h-m-p 1.6000 8.0000 0.2676 CCC 7314.866448 2 0.4846 10807 | 9/55
100 h-m-p 0.4141 4.3295 0.3131 YCCC 7314.547088 3 0.8860 10916 | 9/55
101 h-m-p 1.0813 5.4067 0.1657 CCC 7314.357042 2 1.1144 11024 | 9/55
102 h-m-p 1.0284 8.0000 0.1795 CY 7314.268575 1 1.0072 11130 | 9/55
103 h-m-p 1.6000 8.0000 0.0858 YC 7314.221264 1 1.2637 11235 | 9/55
104 h-m-p 1.4681 8.0000 0.0738 C 7314.200446 0 1.3455 11339 | 9/55
105 h-m-p 1.6000 8.0000 0.0512 YC 7314.174667 1 2.9619 11444 | 9/55
106 h-m-p 1.0857 8.0000 0.1398 +C 7314.078456 0 4.3428 11549 | 9/55
107 h-m-p 1.1069 8.0000 0.5486 +YC 7313.849836 1 2.8191 11655 | 9/55
108 h-m-p 1.6000 8.0000 0.8027 CYC 7313.682970 2 2.0859 11762 | 9/55
109 h-m-p 1.6000 8.0000 0.9797 CC 7313.574589 1 1.6830 11868 | 9/55
110 h-m-p 1.6000 8.0000 0.7561 YC 7313.548830 1 1.2797 11973 | 9/55
111 h-m-p 1.6000 8.0000 0.2168 C 7313.543662 0 1.5480 12077 | 9/55
112 h-m-p 1.6000 8.0000 0.1014 YC 7313.538726 1 3.1577 12182 | 9/55
113 h-m-p 1.6000 8.0000 0.0173 +YC 7313.524843 1 4.8545 12288 | 9/55
114 h-m-p 0.4077 8.0000 0.2059 +CC 7313.509387 1 2.5377 12395 | 9/55
115 h-m-p 1.6000 8.0000 0.2372 CC 7313.506695 1 1.3189 12501 | 9/55
116 h-m-p 1.6000 8.0000 0.1065 YC 7313.505099 1 2.7753 12606 | 9/55
117 h-m-p 1.6000 8.0000 0.1106 ++ 7313.495834 m 8.0000 12710 | 9/55
118 h-m-p 1.0349 8.0000 0.8548 ++ 7313.437536 m 8.0000 12814 | 9/55
119 h-m-p 1.6000 8.0000 2.3724 CC 7313.357646 1 2.2654 12920 | 9/55
120 h-m-p 1.4056 8.0000 3.8236 CC 7313.320812 1 1.9132 13026 | 9/55
121 h-m-p 1.5611 8.0000 4.6861 YCC 7313.289731 2 2.3865 13133 | 9/55
122 h-m-p 1.6000 8.0000 6.8599 CC 7313.264003 1 2.2660 13239 | 9/55
123 h-m-p 0.9117 4.5586 9.0705 YC 7313.246817 1 2.1703 13344 | 9/55
124 h-m-p 0.3454 1.7271 12.5419 ++ 7313.235430 m 1.7271 13448 | 9/55
125 h-m-p 0.0000 0.0000 23.0628
h-m-p: 0.00000000e+00 0.00000000e+00 2.30627996e+01 7313.235430
.. | 9/55
126 h-m-p 0.0000 0.0001 19.3983 YC 7313.235143 1 0.0000 13654 | 9/55
127 h-m-p 0.0000 0.0003 15.0328 Y 7313.234993 0 0.0000 13758 | 9/55
128 h-m-p 0.0000 0.0008 8.7226 YC 7313.234839 1 0.0000 13863 | 9/55
129 h-m-p 0.0000 0.0015 11.4619 Y 7313.234719 0 0.0000 13967 | 9/55
130 h-m-p 0.0000 0.0007 9.3415 Y 7313.234633 0 0.0000 14071 | 9/55
131 h-m-p 0.0000 0.0011 16.6849 Y 7313.234596 0 0.0000 14175 | 9/55
132 h-m-p 0.0000 0.0025 7.0594 Y 7313.234549 0 0.0000 14279 | 9/55
133 h-m-p 0.0000 0.0018 5.3075 Y 7313.234515 0 0.0000 14383 | 9/55
134 h-m-p 0.0000 0.0047 4.2487 Y 7313.234501 0 0.0000 14487 | 9/55
135 h-m-p 0.0000 0.0005 5.7467 Y 7313.234492 0 0.0000 14591 | 9/55
136 h-m-p 0.0000 0.0127 2.0984 C 7313.234486 0 0.0000 14695 | 9/55
137 h-m-p 0.0000 0.0041 1.6488 Y 7313.234481 0 0.0000 14799 | 9/55
138 h-m-p 0.0000 0.0146 1.2613 -C 7313.234481 0 0.0000 14904 | 9/55
139 h-m-p 0.0000 0.0025 2.0946 C 7313.234478 0 0.0000 15008 | 9/55
140 h-m-p 0.0000 0.0053 1.7578 Y 7313.234478 0 0.0000 15112 | 9/55
141 h-m-p 0.0000 0.0199 0.7426 Y 7313.234477 0 0.0000 15216 | 9/55
142 h-m-p 0.0001 0.0478 0.3136 -C 7313.234476 0 0.0000 15321 | 9/55
143 h-m-p 0.0000 0.0092 0.4168 C 7313.234476 0 0.0000 15425 | 9/55
144 h-m-p 0.0000 0.0206 0.5394 -Y 7313.234476 0 0.0000 15530 | 9/55
145 h-m-p 0.0002 0.1056 0.1999 -Y 7313.234476 0 0.0000 15635 | 9/55
146 h-m-p 0.0001 0.0747 0.0937 -Y 7313.234476 0 0.0000 15740 | 9/55
147 h-m-p 0.0004 0.2099 0.1276 -----------.. | 9/55
148 h-m-p 0.0001 0.0393 3.1913 ---------
Out..
lnL = -7313.234476
15965 lfun, 191580 eigenQcodon, 8780750 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -7323.588525 S = -7041.207771 -317.689066
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 324 patterns 3:22:41
did 20 / 324 patterns 3:22:41
did 30 / 324 patterns 3:22:41
did 40 / 324 patterns 3:22:42
did 50 / 324 patterns 3:22:42
did 60 / 324 patterns 3:22:42
did 70 / 324 patterns 3:22:42
did 80 / 324 patterns 3:22:42
did 90 / 324 patterns 3:22:43
did 100 / 324 patterns 3:22:43
did 110 / 324 patterns 3:22:43
did 120 / 324 patterns 3:22:43
did 130 / 324 patterns 3:22:43
did 140 / 324 patterns 3:22:43
did 150 / 324 patterns 3:22:44
did 160 / 324 patterns 3:22:44
did 170 / 324 patterns 3:22:44
did 180 / 324 patterns 3:22:44
did 190 / 324 patterns 3:22:44
did 200 / 324 patterns 3:22:45
did 210 / 324 patterns 3:22:45
did 220 / 324 patterns 3:22:45
did 230 / 324 patterns 3:22:45
did 240 / 324 patterns 3:22:45
did 250 / 324 patterns 3:22:46
did 260 / 324 patterns 3:22:46
did 270 / 324 patterns 3:22:46
did 280 / 324 patterns 3:22:46
did 290 / 324 patterns 3:22:46
did 300 / 324 patterns 3:22:46
did 310 / 324 patterns 3:22:47
did 320 / 324 patterns 3:22:47
did 324 / 324 patterns 3:22:47end of tree file.
Time used: 3:22:47
The loglikelihoods for models M1, M2, M7 and M8 are -7319.929029 -7313.200978 -7321.252785 -7313.234476 respectively
The loglikelihood for model M2a is significantly different from that for M1a. Twice the difference is 13.456102
The loglikelihood for model M8 is significantly different from that for M7. Twice the difference is 16.036618
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTSNSTSLYSRA-NNFDVGVLPG
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNASSPYSRANNNFDVGVLPG
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLARAKFADDLLDLLTFPGAHRFLHKPTRNDSILYSRANNNFDVGVLPG
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLFCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLSLARAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYLRANNNFDVGVLPG
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPG
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPG
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRA-NNFDVGVLPG
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MQRALLIMTLFCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLARAKFADDLLDLLTFPGAHRFLHKPTRNDSSLYSRA-NNFDVGVLPG
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPG
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLFDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPG
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPG
**********:.*.********:************** * * : * ** **********
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCFTKITNHTLSMYLQPSEIQTYSCGGAM
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSDIQTYSCGGAM
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLQPSEIQTYSCGGAM
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNQTLSMYLQPSEIQTYSCGGAM
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLQPSEIQTYSCGGAM
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCFTKITNQTLSMYLLPSEIQTYSCGGAM
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEVQTYSCGGAM
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNQTLSMYLQPSEIQTYSCGGAM
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNQTLSMYLLPSEIQTYSCGGAM
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 YPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAM
*********************************:*****:****** **::*********
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQDGENYVFVCSDQFNYTTALHNSTFFSLNSELY
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLIATDRISVEVVGQAGENYVFVCSDQFNYTTALHNSTFFSLNSQLY
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQSTYTTALHKSTFFSLNSELY
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTAIDHISVEVVGQRGENYVFVCSEQFNYTTALHNSTFFSLNSELY
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTVTDHISVEVVGQRGENYVFVCSEQFNYTTALHNSTFFSLNSELY
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQSTYTTALHKSTFFSLNSELY
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLIATDRISVEVVGQAGENYVFVCSDQFNYTTALHNSTFFSLNSQLY
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTVTDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 VKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELY
*************** . *:******** *********:* .******:********:**
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLPANSAHFALA
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGVLPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGQLSANSAHFALA
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLAANSAHFALA
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANRAHFALA
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLAANSAHFALA
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANIAHFALA
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANRAHFALA
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAYFALA
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGQLSANSAHFALA
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANNAHFALA
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 CFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALA
*********:**************************************:*.** *:****
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLR
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHQVEDGFYSDPKSAVRARQRTIVTLP
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHQVEDGFYSDPKSAVRARQRTIVTLP
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSNPKSAVRARQRTIVTLP
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDAIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSNPKSAVRARQRTIVTLP
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHQVEDGFYSDPKSAVRARQRTIVTLP
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 NLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLP
**************************:********:*******:***************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFLCRGCTMNLRTDT
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFLCRGCTMNLRTDT
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 KLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDT
***********************************************:* **********
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 CSFDLSALNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGVCEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWKYLLRQRLYVTAVEGQTHTGTTSV
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 CSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSV
*******:****************.***********:***********************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 HATDTSSVITGVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 HATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQ
**********.*************************************************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIDTPTFFYSTNATTFNCTKPVLSYG
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIDTPTFFYSTNATTLNCTKPVLSYG
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTLNCTKPVLSYG
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTQNNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTNPVLSYG
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTLNCTKPVLSYG
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTNPVLSYG
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 VLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYG
***************************:******** ************:***:******
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 PTSVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEIEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEIEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQSEQVIVDCPQY
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQAEYLQVQAEQVIVDCPQY
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGALVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEIEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGISTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 PISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQY
* *******:.* *****************:***********:******:**********
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFKTSTQSLQLANITNFKGDY
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFRTSTQSLQLANITNFKGDY
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIISMFKTSTQSLQLANITNFKGDY
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSKIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIETALHSSAQLDSREIINMFKTSTQSLQLANITNFKGDY
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSVQLDSREIINMFQTSTQSLQLANITNFKGDY
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSVQLDSREIINMFQTSTQSLQLANITNFKGDY
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSKIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIISMFKTSTQSLQLANITNFKGDY
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFKTSTQSLQLANITNFKGDY
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 VCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDY
********************:**.*****.********.**:******************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 NFSSILTSRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRNMAIADLVCSQYYNGIMVL
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 NFSSIITPRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVL
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVL
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVL
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 NFSSILTSRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRNMAIADLVCSQYYNGIMVL
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVL
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 NFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVL
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVL
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 NFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVL
*****:*.*:***************************:***:******************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSITGAMVFGGLTAAAAIPFATAVLARLNYVALQTNVLRENQKILAE
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 PGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAE
***************:********************* *************:********
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 SFIRAVGNISLALSSVNDAIQQTSEALSTVAIAIKKIRTVVNQQGEALSHLTAQLSNYFQ
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 SFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQ
** :***********************.*********:******************* **
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVQANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLINGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVQANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNVYVTQLLNQMSQIRQSRLLAQQKINE
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQVRQSRLLAQQKINE
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLINGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLDELEAIQQFDRLITGRLAALNAYVTQLLNQMSQIKQSRLLAQQKINE
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 AISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINE
*************:*::* **.****.*******.***********::************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 CVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 CVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 CVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 CVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 CVKSQPSRYGFWGNGTHIFSHTQTAPNGIFFMHAVLLPNKFTRVNASVGICGDNTRGYSL
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 CVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSL
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 CVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNIRGYSL
*****..**** ******** ***************:**********.*** ** *****
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTSRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVN
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVN
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 QPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNITAANLPNIIPDIIDVN
****************.************************** ***********:****
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPIATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNSPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 QTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNN
********* * ************************************************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNKVETYLKWPWYVWLAIALALIAFVTILLTIFLCTGCCGGCFGCCGGCFGLF
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 TLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLF
*********:**********:***************:***********************
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 SKKKSYTDDQPTPSFKFKEW
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 SKKKRSTDDQPTPSFKFKEW
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 SKKKRYTDDQPTPSFKFKEW
**** **************
>USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACCGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAATCGTCTTGAGGAAGTACAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTATCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGTAATTCCACCAGTCTCTACTCGCGGGCT---AATAACTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCAATTAATGGCCTTCATCGGAGTTATCAACCACTCATGCTGAATTGTTTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCAACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAGCATGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCCACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACGTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGTGTCACCATTAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCCACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTGGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTTACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCCCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATCTGTGTGGATAATACCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTATAACACCACCGCTGCTAATCTTCCCAATATTATTCCTGACGTTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACTGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAACTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGTTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGATATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACTGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGCCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGACACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTAGATAGCAGAGAGATTATAAATATGTTTAAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGCTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAACCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTGTTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTACCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAACATGTTTCGAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCAGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTTGATTTGCTCACCTTTCCGGGAGCACATCGCTTCTTACATAAACCTACGAGGAATGCCAGCAGTCCCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCCATTAATGGCCTTCATCGGAGTTATCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCAACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATTTCTGTTGAAGTCGTTGGCCAAGATGGTGAAAATTATGTGTTTGTTTGTAGTGATCAGTTTAACTATACCACTGCATTACACAACTCTACCTTTTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATCTAACTGACTTTACGGTCTATCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACTGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCGGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACCTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCATCAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACAATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTTGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACCACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGCGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAGTTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGGGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTCACTGCTGCAGCGGCAATACCATTCGCCACGGCAGTACAAGCCCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCCCTTAACACTGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTTATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAAATGTCTCAGATCAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACTCAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTACTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCGGGCATTTGTGTGGATAATACCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTATAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACGTTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAACTACATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTAGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGCTCGAGCTAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCCTACACAAACCTACGAGGAATGACAGCATTCTTTACTCGCGGGCCAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACCAACTCTACTCTGCCTATTAATGGACTTCATCGGAGTTATCAACCACTTATGCTGAATTGTCTTACTAAAATAACTAACCAAACTCTCAGCATGTATCTCCAACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCATTGCCACTGACCGCATTTCTGTTGAAGTCGTTGGCCAAGCTGGTGAAAATTATGTGTTTGTTTGTAGTGATCAGTTTAACTACACCACTGCATTACACAACTCCACTTTCTTCTCACTTAATTCTCAGCTTTATTGCTTCACTAATAACACCTATTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACTGTTAACTATGTTAGGTTGTATCGGGGTCAATTGTCGGCCAACAGCGCCCACTTTGCCCTTGCAAACCTTACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACCTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCATCAAGTAGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGCACAATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGATAGTGTCACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTCTGTGCAGAGGCTGCACTATGAATCTGCGCACTGATACTTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTTTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACAGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCCCCCACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTCCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATCGACACACCTACTTTCTTTTATTCCACAAATGCCACCACTCTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGCTGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAATTGAAATACCATCTGCATTTTCTCTTTCTGTCCAGACAGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCCCAGTATGTATGCAATGGCAATAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAATATTGAAGTTGCTCTGCATTCCTCAGCACAGCTGGACAGCAGAGAGATTATAAGTATGTTTAAAACATCAACACAATCCTTGCAGTTGGCTAATATTACCAACTTCAAAGGCGACTACAATTTTAGCAGTATACTAACCTCCAGAGTTGGTGGTAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGTTCTAGGAACATGGCCATCGCTGATTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTCGCCACTGCAGTACAAGCCCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACTGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCACTATCACACCTGACTGCACAGCTGTCAAATAATTTCCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCAATGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGCTACTCAATCAGATGTCTCAGATTAGACAATCCCGATTGCTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGCCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACTCAGACTGCACCAAACGGCATATTTTTCATGCATGCAGTACTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCGGGTATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACGTTTTATAACACTACCGCTGCTAATCTTCCCAATATTATTCCTGACGTCATAGATGTTAATCAAACAGTCAGTGATATTATTGATAATTTACCTACAGCAACACCCCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAACTATATAGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATAGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGCACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCATTTAAGTTTAAGGAATGG >NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACCGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAATCGTCTTGAGGAAGTACAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTATCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTATAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTATCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTATTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTCTACCTACACCACTGCATTACACAAATCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCTGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCAACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAAGATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCTAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACTGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTCGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTCTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGTAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACTGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTAGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGCTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAACCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTCTCTCGCTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTTTACTTGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTTTCACCACTTACTAACTCTACTTTGCCTATTAATGGCCTTCATCGGAGTTATCAACCACTCATGCTGAATTGCCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCTATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCATTGACCACATCTCTGTTGAAGTCGTTGGCCAACGTGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACCACTGCATTACACAACTCCACTTTCTTCTCACTTAATTCTGAGCTTTATTGCTTCACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTCTACCTATTACCGTTAACTATGTTAGGTTGTATCGGGGTCATTTGGCGGCCAACAGTGCCCATTTTGCCCTTGCAAACCTCACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATTACCTATTGTGATAAGTCAGTAGTTGATGCAATAGCATGCCAGCGCTCTTCTCATGAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCCGCTGTTAGAGCTAGGCAACGTACTATAGTCACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATTAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACTTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCCCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTATGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACAGCTGTAGAAGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGGTGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCCCCCACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTCCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTCGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACCACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTTGGAACATCCACATTACAGAATACTCGACCATCTATAGTTTCACTATATGATGGCGAAATTGAAATACCATCTGCATTTTCTCTTTCTGTCCAGACAGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAATAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAACTGCTCTGCATTCCTCAGCACAGCTGGATAGCAGAGAGATTATAAATATGTTTAAAACATCAACACAATCCTTGCAGTTAGCTAACATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATAATTACCCCCAGAGTTGGTGGTAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGTTCTAGGGACATGGCCATCGCCGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTCGCTACTGCAGTACAAGCCCGCCTTAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACTGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGTATATGTTACTCAGCTACTCAATCAGATGTCTCAGATTAGACAATCCCGATTGCTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCACCCAGATACGGTTTCTGTGGAAATGGCACGCACATCTTCTCACTTACTCAGACTGCACCAAACGGCATATTTTTCATGCATGCAGTACTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCGGGTATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAATTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCTCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAATACTACCGCTGCTAATCTTCCCAATATTATTCCTGACGTTATAGATGTTAATCAAACAGTCAGTGATATTATTGATAATTTACCTACAGCAACACCCCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGATAATCTTAACAATACTCTGGTTGACCTTGAATGGCTCAACAAAGTCGAAACTTACCTTAAATGGCCGTGGTATGTATGGCTTGCCATAGCCCTGGCTCTTATTGCATTTGTGACAATTCTCCTAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAATACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTTTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGAGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTCACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACCTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATATGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGCACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACTCACGAGTAATTCCAGCAGTCTCTACTCGCGGGCT---AATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTATCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCAACCTAGTGAGATACAAACCTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAGCATGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCACTTGGCGGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACAGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGCACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGCGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTATTTGCAAGTTCAATCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGGTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTGGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGACTTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAAGCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTCGCCACGGCAGTACAAGCCCGCCTTAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGGTTAGACAATCTCGATTGCTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTATAACACCACCGCTGCTAATCTTCCCAATATTATTCCTGACGTTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTTACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGATAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTCTACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACTCACGAGTAATTCCAGCAGTCTCTACTCGCGGGCT---AATAACTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCAATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTTTTACTAAAATAACTAACCAAACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGTCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACGTGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACCACTGCATTACACAACTCTACCTTTTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGGCAGTTTTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTAAGGTTGTATCGGGGTCATTTGTCGGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCATTAAACAATGGCATGTCATTCTCTCAATTTTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAATAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGCGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTAGCACAATACACCTCAGCTTGCTCTAACATTGAAGTAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGACTAGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAAGCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCCCGTCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATTACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTAGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAAAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCT---AATAACTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCCATTAATGGCCTTCATCGGAGTTATCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACCACTGCATTACACAACTCTACCTTTTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGGCAGTTTTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTAAGGTTGTATCGGGGTCATTTGTCGGCCAATATTGCCCACTTTGCCCTAGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAAGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGCGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGACTTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAAGCCTGCTCTAGAGACATGGCCATCGCTGATTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTCGCTACAGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGCCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACAACCGCTGCTAATCTTCCCAATATTATTCCTGACGTTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATTTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTCACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGTACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAATACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTTTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGAGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTCAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTTTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTCACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACCTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATATGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGCACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTCACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGTACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCTGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCAGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACTGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTATTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTCTACCTACACCACTGCATTACACAAATCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCTGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCAACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAAGATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGGTACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACCAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCCTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGGCGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACTAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCTACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACCAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGTTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAATCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCACTTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATATGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACATCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGCACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGCTCGAGCTAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCCTACACAAACCTACGAGGAATGACAGCAGTCTCTACTCGCGGGCC---AATAACTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACCAACTCTACTCTGCCTATTAATGGACTTCATCGGAGTTATCAACCACTTATGCTGAATTGTCTTACTAAAATAACTAACCAAACTCTCAGCATGTATCTCCAACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCATTGCCACTGACCGCATTTCTGTTGAAGTCGTTGGCCAAGCTGGTGAAAATTATGTGTTTGTTTGTAGTGATCAGTTTAACTACACCACTGCATTACACAACTCCACTTTCTTCTCACTTAATTCTCAGCTTTATTGCTTCACTAATAACACCTATTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGTCAGTTCTATGCTAATGGTTACCTCTTAGGTACTTTACCTATTACTGTTAACTATGTTAGGTTGTATCGGGGTCAATTGTCGGCCAACAGCGCCCACTTTGCCCTTGCAAACCTTACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACCTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCATCAAGTAGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGCACAATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGATAGTGTCACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTCTGTGCAGAGGCTGCACTATGAATCTGCGCACTGATACTTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTTTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACAGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCCCCCACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTCCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATCGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTCTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGCTGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAATTGAAATACCATCTGCATTTTCTCTTTCTGTCCAGACAGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCCCAGTATGTATGCAATGGCAATAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAATATTGAAGTTGCTCTGCATTCCTCAGCACAGCTGGACAGCAGAGAGATTATAAGTATGTTTAAAACATCAACACAATCCTTGCAGTTGGCTAATATTACCAACTTCAAAGGCGACTACAATTTTAGCAGTATACTAACCTCCAGAGTTGGTGGTAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGTTCTAGGAACATGGCCATCGCTGATTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTCGCCACTGCAGTACAAGCCCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACTGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCACTATCACACCTGACTGCACAGCTGTCAAATAATTTCCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCAATGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGCTACTCAATCAGATGTCTCAGATTAGACAATCCCGATTGCTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGCCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACTCAGACTGCACCAAACGGCATATTTTTCATGCATGCAGTACTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCGGGTATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACGTTTTATAACACTACCGCTGCTAATCTTCCCAATATTATTCCTGACGTCATAGATGTTAATCAAACAGTCAGTGATATTATTGATAATTTACCTACAGCAACACCCCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAACTATATAGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATAGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGCACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCATTTAAGTTTAAGGAATGG >SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACTGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAAGCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAATATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTAGATAGCAGAGAGATTATAAATATGTTTAAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGCTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAACCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACTCACGAGTAATTCCAGCAGTCTCTACTCGCGGGCT---AATAACTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCAATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCAAACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGTCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGGCAGTTTTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTCAACTATGTAAGGTTGTATCGGGGTCATTTGTCGGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAAATACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAATAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTGGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGTATACTAACCACCAGAATAGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAAGCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCTATGTATACTGGCTCTATTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTTGCCACGGCAGTACTAGCCCGTCTCAATTATGTCGCACTGCAAACAAATGTACTACGAGAAAACCAGAAAATTCTTGCAGAATCATTTATCCGAGCAGTTGGCAACATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAGCACCGTAGCTATTGCTATTAAAAAGATTCGAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACTATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGACGAATTAGAGGCTATCCAGCAATTTGACCGGCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAAACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGCCGTCCAGATACGGGTTCTGGGGAAATGGCACACACATCTTCTCACATACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTACTACCCAACAAATTCACACGTGTCAACGCTTCTGTCGGCATTTGTGGGGATAATACCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATTCCTGACGTTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTAGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAAAAGAAAAGGTATACCGACGATCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCCACTTTGCCCATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGCAGTGAGCAGTTTAACTACACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTACCGTACTGGTCAGTTCTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCTGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCCGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAATTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACTTTCAACTGCACTAATCCTGTTTTGTCCTATGGACCTATCAGCGTGTGTAGTGATGGTGCAATTGTGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCCGTTCAGACGGAGTACTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGAATTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAATCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCAGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCACAGTCGTCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTAGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAGGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTCACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAACGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTATTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACCCACGAGGAATTCCAGCAGTCTCTACTCGCGGGCTAATAATAATTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTCTTCTCACCACTTACTAACTCTACTTTGCCCATTAATGGCCTTCATCGGAGTTATCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACTACTGCATTACACAACTCTACCTTTTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGTCAGTTTTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACTGTTAACTATGTTAGGTTGTATCGGGGTCATTTGTCGGCCAATAATGCCCACTTTGCCCTAGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAAGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACTATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGCGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGACTTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAAGCCTGCTCTAGAGACATGGCCATCGCTGATTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGGGGACTGACTGCTGCAGCGGCAATACCATTCGCTACAGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGTGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAACCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCGCCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATACGAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACACAACCGCTGCTAATCTTCCCAATATTATTCCTGACGTCATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATTTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTGGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG >CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ATGCAGAGAGCTCTATTGATTATGACCTTACTTTGTCTCGTTCGAGCAAAGTTTGCTGATGATCTACTCGATTTGCTCACCTTCCCGGGTGCACATCGCTTCTTACATAAACTCACGAGTAATTCCAGCAGTCTCTACTCGCGGGCT---AATAACTTTGATGTTGGCGTTCTTCCTGGCTACCCCACTAAGAACGTTAACCTATTCTCACCACTTACTAACTCTACTTTGCCAATTAATGGCCTTCATCGGAGTTACCAACCACTCATGCTGAATTGTCTTACTAAAATAACTAACCACACTCTCAGCATGTATCTCCTACCTAGTGAGATACAAACTTATAGCTGCGGCGGTGCCATGGTTAAATACCAGACACATGATGCAGTTCGTATCATTTTAGACCTCACTGCCACTGACCACATCTCTGTTGAAGTCGTTGGCCAACATGGTGAAAATTATGTGTTTGTTTGTAGTGAGCAGTTTAACTATACCACTGCATTACACAACTCTACCTTCTTCTCACTTAATTCTGAGCTTTATTGCTTTACTAATAACACCTACTTAGGTATTCTTCCACCTGATTTAACTGACTTTACGGTCTATCGTACTGGTCAGTTTTATGCTAATGGTTACCTTTTAGGTACTTTACCTATTACGGTTAACTATGTAAGGTTGTATCGGGGTCATTTGTCGGCCAATAGTGCCCACTTTGCCCTTGCAAACCTAACCGATACACTCATAACACTTACCAATACTACTATATCGCAAATCACTTATTGTGATAAGTCAGTAGTTGATTCAATAGCATGCCAGCGCTCTTCTCACGAAGTGGAGGATGGGTTTTACTCTGACCCTAAATCTGCCGTTAGAGCTAGGCAACGTACTATTGTTACACTACCTAAGCTCCCTGAGCTTGAAGTAGTGCAGTTAAATATTTCTGCACACATGGATTTTGGCGAAGCCAGACTTGACAGCGTTACCATCAATGGTAACACATCCTATTGTGTCACTAAGCCTTACTTCAGGCTTGAAACTAACTTTATGTGTACAGGTTGCACTATGAATCTGCGCACTGATACCTGTAGTTTTGACCTGTCAGCAGTAAACAATGGCATGTCATTCTCTCAATTCTGTCTAAGCACTGAATCTGGTGCTTGTGAGATGAAAATTATTGTTACCTACGTATGGAATTACTTGCTAAGGCAGCGTTTGTATGTTACTGCTGTAGAGGGCCAGACTCACACTGGAACCACTTCAGTACATGCAACAGACACTTCTAGTGTAATCACTGATGTCTGCACTGACTACACTATCTATGGAGTCTCTGGTACTGGCATTATTAAGCCATCAGATCTCTTATTGCACAATGGCATAGCATTCACCTCTCCAACAGGTGAGCTTTATGCATTTAAAAATATAACCACTGGCAAAACCCTTCAGGTCTTACCGTGTGAAACCCCTTCTCAACTGATTGTGATAAACAACACCGTTGTCGGTGCTATCACATCCAGTAACTCAACTGAAAATAATAGGTTTACTACTACCATTGTCACACCTACTTTCTTTTATTCCACAAATGCCACCACCTTCAACTGCACCAAGCCTGTTTTGTCCTATGGACCCATCAGCGTGTGTAGTGATGGTGCAATTGCGGGAACATCCACATTACAGAATACTCGACCATCCATAGTTTCACTATACGATGGCGAAGTTGAAATACCATCTGCATTTTCTCTTTCTGTTCAGACGGAGTATTTGCAAGTTCAAGCAGAGCAAGTTATAGTTGATTGTCCTCAGTATGTATGCAATGGCAACAGCCGTTGTCTACAATTACTGGCACAATACACCTCAGCTTGCTCTAACATTGAAGCAGCTCTGCATTCCTCTGCACAGTTGGATAGCAGAGAGATTATAAATATGTTTCAAACATCAACACAGTCCTTGCAGTTAGCTAATATTACCAACTTCAAGGGTGACTACAATTTTAGCAGCATACTAACCACCAGACTTGGTGGCAGATCTGCTATTGAAGACCTTCTTTTTAATAAAGTTGTTACTAGTGGCCTTGGCACTGTTGATCAGGACTACAAAGCCTGCTCTAGAGACATGGCCATCGCTGACTTAGTTTGTTCCCAGTATTACAATGGCATCATGGTTCTACCTGGTGTTGTTGATGCTGAGAAAATGGCAATGTATACTGGCTCTCTTACTGGAGCTATGGTATTTGGAGGACTGACTGCCGCAGCGGCAATACCATTTGCCACGGCAGTACAAGCTCGCCTCAATTATGTCGCACTGCAAACAAATGTACTACAAGAAAACCAGAAAATTCTTGCAGAATCATTTAACCAAGCAGTTGGCAATATATCACTTGCACTATCTTCTGTTAATGATGCCATCCAGCAAACTTCTGAGGCTCTTAACACCGTAGCTATTGCTATTAAAAAGATTCAAACAGTTGTTAACCAGCAGGGCGAGGCATTATCACACCTGACTGCACAGCTGTCAAACAATTTTCAAGCAATTTCGACTTCTATTCAAGACATTTACAATCGTCTTGAGGAAGTAGAGGCTAACCAGCAAGTTGACCGTCTCATCACAGGACGGTTGGCTGCACTTAATGCATATGTTACTCAGTTACTCAATCAGATGTCTCAGATTAGACAATCTCGATTGTTAGCTCAGCAAAAGATTAATGAGTGTGTCAAATCTCAGTCATCCAGATACGGTTTCTGTGGAAATGGCACACACATCTTCTCACTTACACAGACTGCACCAAATGGCATATTTTTCATGCATGCAGTGCTTGTACCCAACAAATTCACACGTGTCAACGCTTCTGCCGGCATTTGTGTGGATAATATCAGAGGCTACTCATTGCAGCCTCAACTTATACTCTACCAGTTTAATAACTCCTGGAGAGTTACACCTAGAAATATGTATGAACCCAGACTGCCCCGGCAAGCTGATTTCATACAATTAACTGATTGCAGCGTTACTTTTTACAACATCACCGCTGCTAATCTTCCCAATATTATCCCTGACATTATAGATGTCAATCAAACAGTCAGTGATATTATTGACAATTTACCTACAGCAACACCTCCTCAGTGGGATGTTGGTATCTATAACAACACTATTCTCAACCTCACCGTTGAGATTAATGATCTACAAGAGCGGTCTAAAAACCTCTCACAGATTGCAGATCGTTTACAAAATTATATTGACAATCTTAACAATACTCTAGTTGACCTTGAATGGCTCAACAGAGTAGAAACTTACCTTAAATGGCCGTGGTATATATGGCTTGCCATTGCCCTGGCTCTTATTGCATTTGTGACAATCCTCATAACAATCTTTCTTTGTACTGGTTGTTGTGGTGGTTGCTTTGGTTGTTGTGGCGGTTGTTTTGGCCTTTTCTCTAAGAAGAAAAGGTATACCGACGACCAACCAACACCGTCCTTTAAGTTTAAGGAATGG
>USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVQANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTSNSTSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCFTKITNHTLSMYLQPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLRKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKSYTDDQPTPSFKFKEW >USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSDIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLPANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIDTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFKTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGVLPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPTSVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFRTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNASSPYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLQPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQDGENYVFVCSDQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHQVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLARAKFADDLLDLLTFPGAHRFLHKPTRNDSILYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNQTLSMYLQPSEIQTYSCGGAMVKYQTHDAVRIILDLIATDRISVEVVGQAGENYVFVCSDQFNYTTALHNSTFFSLNSQLYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGQLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHQVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFLCRGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIDTPTFFYSTNATTLNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEIEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIISMFKTSTQSLQLANITNFKGDYNFSSILTSRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRNMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLINGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVQANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPIATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLFCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQSTYTTALHKSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSNPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSKIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTLNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLSLARAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYLRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTAIDHISVEVVGQRGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLAANSAHFALANLTDTLITLTNTTISQITYCDKSVVDAIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITGVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEIEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIETALHSSAQLDSREIINMFKTSTQSLQLANITNFKGDYNFSSIITPRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNVYVTQLLNQMSQIRQSRLLAQQKINECVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNKVETYLKWPWYVWLAIALALIAFVTILLTIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANRAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLQPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLAANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQSEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQVRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRSTDDQPTPSFKFKEW >PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCFTKITNQTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTVTDHISVEVVGQRGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSALNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANIAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSVQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANRAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTQNNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSVQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MQRALLIMTLFCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQSTYTTALHKSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSNPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSKIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEVQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQAEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAYFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGVCEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTNPVLSYGPISVCSDGALVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTSRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLARAKFADDLLDLLTFPGAHRFLHKPTRNDSSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNQTLSMYLQPSEIQTYSCGGAMVKYQTHDAVRIILDLIATDRISVEVVGQAGENYVFVCSDQFNYTTALHNSTFFSLNSQLYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGQLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHQVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFLCRGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTLNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEIEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEVALHSSAQLDSREIISMFKTSTQSLQLANITNFKGDYNFSSILTSRVGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRNMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLINGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGISTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFKTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNQTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTVTDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWKYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSITGAMVFGGLTAAAAIPFATAVLARLNYVALQTNVLRENQKILAESFIRAVGNISLALSSVNDAIQQTSEALSTVAIAIKKIRTVVNQQGEALSHLTAQLSNYFQAISTSIQDIYNRLDELEAIQQFDRLITGRLAALNAYVTQLLNQMSQIKQSRLLAQQKINECVKSQPSRYGFWGNGTHIFSHTQTAPNGIFFMHAVLLPNKFTRVNASVGICGDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTNPVLSYGPISVCSDGAIVGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRIGGRSAIEDLLFNKVVTSGLGTVDQDYKSCSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDIIDVNQTVSDIIDNSPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLFDLLTFPGAHRFLHKPTRNSSSLYSRANNNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANNAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSPRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNTRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNTTAANLPNIIPDVIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW >CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MQRALLIMTLLCLVRAKFADDLLDLLTFPGAHRFLHKLTSNSSSLYSRA-NNFDVGVLPGYPTKNVNLFSPLTNSTLPINGLHRSYQPLMLNCLTKITNHTLSMYLLPSEIQTYSCGGAMVKYQTHDAVRIILDLTATDHISVEVVGQHGENYVFVCSEQFNYTTALHNSTFFSLNSELYCFTNNTYLGILPPDLTDFTVYRTGQFYANGYLLGTLPITVNYVRLYRGHLSANSAHFALANLTDTLITLTNTTISQITYCDKSVVDSIACQRSSHEVEDGFYSDPKSAVRARQRTIVTLPKLPELEVVQLNISAHMDFGEARLDSVTINGNTSYCVTKPYFRLETNFMCTGCTMNLRTDTCSFDLSAVNNGMSFSQFCLSTESGACEMKIIVTYVWNYLLRQRLYVTAVEGQTHTGTTSVHATDTSSVITDVCTDYTIYGVSGTGIIKPSDLLLHNGIAFTSPTGELYAFKNITTGKTLQVLPCETPSQLIVINNTVVGAITSSNSTENNRFTTTIVTPTFFYSTNATTFNCTKPVLSYGPISVCSDGAIAGTSTLQNTRPSIVSLYDGEVEIPSAFSLSVQTEYLQVQAEQVIVDCPQYVCNGNSRCLQLLAQYTSACSNIEAALHSSAQLDSREIINMFQTSTQSLQLANITNFKGDYNFSSILTTRLGGRSAIEDLLFNKVVTSGLGTVDQDYKACSRDMAIADLVCSQYYNGIMVLPGVVDAEKMAMYTGSLTGAMVFGGLTAAAAIPFATAVQARLNYVALQTNVLQENQKILAESFNQAVGNISLALSSVNDAIQQTSEALNTVAIAIKKIQTVVNQQGEALSHLTAQLSNNFQAISTSIQDIYNRLEEVEANQQVDRLITGRLAALNAYVTQLLNQMSQIRQSRLLAQQKINECVKSQSSRYGFCGNGTHIFSLTQTAPNGIFFMHAVLVPNKFTRVNASAGICVDNIRGYSLQPQLILYQFNNSWRVTPRNMYEPRLPRQADFIQLTDCSVTFYNITAANLPNIIPDIIDVNQTVSDIIDNLPTATPPQWDVGIYNNTILNLTVEINDLQERSKNLSQIADRLQNYIDNLNNTLVDLEWLNRVETYLKWPWYIWLAIALALIAFVTILITIFLCTGCCGGCFGCCGGCFGLFSKKKRYTDDQPTPSFKFKEW
Reading sequence file /data//pss_subsets/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result/original_alignment/codeml/fasta/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result.1
Found 30 sequences of length 3480
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.4%
Found 180 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0% 80.4%100.0%
Using a window size of 80 with k as 4
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 202 polymorphic sites
**p-Value(s)**
----------
NSS: 8.99e-01 (1000 permutations)
Max Chi^2: 0.00e+00 (1000 permutations)
PHI (Permutation): 1.00e-03 (1000 permutations)
PHI (Normal): 1.72e-03
#NEXUS
[ID: 9799936070]
begin taxa;
dimensions ntax=30;
taxlabels
HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15
NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15
Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15
OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15
OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15
CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15
PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15
CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15
TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15
SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15
USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15
USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15
USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15
USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15
CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15
CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15
IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15
;
end;
begin trees;
translate
1 HKU15_44_S_AFD29187_1_2009_China_Swine_Porcine_coronavirus_HKU15,
2 NE3579_S_AIA61001_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15,
3 Michigan_8977_2014_S_AIP90486_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15,
4 OH11846_NA_ALJ32185_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15,
5 OH1987_S_AHN16220_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15,
6 CHN_JS_2014_S_AKC54442_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15,
7 PDCoV_CHJXNI2_2015_S_ALA13745_1_2015_03_China_Swine_Porcine_coronavirus_HKU15,
8 PDCoV_Swine_Thailand_S5015L_2015_S_AMN91670_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15,
9 PDCoV_Swine_Vietnam_HaNoi6_2015_S_APZ76690_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
10 PDCoV_USA_Iowa136_2015_S_ANI85825_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15,
11 CHN_HB_2014_S_AKC54435_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15,
12 PDCoV_USA_Minnesota140_2015_S_ANI85832_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15,
13 PDCoV_USA_Ohio137_2014_S_AIB07807_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15,
14 TT_1115_NA_AMW88197_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15,
15 SdCV_USA_OhioCVM1_2014_S_AIH06857_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15,
16 USA_IL_2014_026PDV_P11_S_AKA97938_1_NA_USA_Unknown_Porcine_coronavirus_HKU15,
17 USA_Illinois272_2014_NA_AML40839_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
18 CHN_AH_2004_S_AKC54428_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15,
19 USA_Illinois273_2014_NA_AML40846_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
20 USA_Illinois449_2014_NA_AML40811_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15,
21 USA_Michigan447_2014_NA_AML40790_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
22 USA_Minnesota159_2014_NA_AML40860_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15,
23 USA_Minnesota442_2014_NA_AML40776_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15,
24 USA_Minnesota455_2014_NA_AML40832_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
25 HKU15_155_S_AFD29194_1_2010_China_Swine_Porcine_coronavirus_HKU15,
26 USA_Nebraska210_2014_NA_AML40874_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
27 USA_Ohio445_2014_NA_AML40888_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15,
28 CH_Sichuan_S27_2012_S_AKQ63083_1_2012_China_Swine_Porcine_coronavirus_HKU15,
29 CH_SXD1_2015_S_ALD83756_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15,
30 IN2847_S_AHN16227_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:2.328634e-03,11:9.025456e-04,(((((((2:2.140338e-04,26:2.081099e-04)1.000:1.164177e-03,20:5.437470e-04)0.840:5.212163e-04,(3:2.136930e-04,16:2.132660e-04)1.000:2.384756e-03,4:1.105138e-03,((5:2.058048e-04,(15:1.125831e-03,27:1.112517e-03)0.986:5.136621e-04)1.000:1.134730e-03,23:1.454695e-03)0.917:5.131335e-04,((10:8.253851e-04,12:2.103501e-04)1.000:1.828957e-03,24:2.087201e-03)0.911:8.156948e-04,13:1.712330e-03,(17:2.039165e-04,19:2.087311e-04)0.999:8.141854e-04,(21:1.159053e-03,30:1.453023e-03)0.864:5.040341e-04,22:2.151747e-04)1.000:5.651247e-03,28:6.248017e-03)0.998:3.254488e-03,(((8:1.136546e-03,14:8.068199e-04)1.000:2.141239e-02,9:1.953761e-02)1.000:1.467686e-02,18:7.712162e-03)1.000:4.544742e-03)0.783:8.164754e-04,25:6.205738e-03)0.803:1.522388e-03,(6:3.286617e-03,(7:3.237811e-03,29:1.270688e-02)1.000:2.182816e-03)1.000:2.611535e-03)1.000:3.765482e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:2.328634e-03,11:9.025456e-04,(((((((2:2.140338e-04,26:2.081099e-04):1.164177e-03,20:5.437470e-04):5.212163e-04,(3:2.136930e-04,16:2.132660e-04):2.384756e-03,4:1.105138e-03,((5:2.058048e-04,(15:1.125831e-03,27:1.112517e-03):5.136621e-04):1.134730e-03,23:1.454695e-03):5.131335e-04,((10:8.253851e-04,12:2.103501e-04):1.828957e-03,24:2.087201e-03):8.156948e-04,13:1.712330e-03,(17:2.039165e-04,19:2.087311e-04):8.141854e-04,(21:1.159053e-03,30:1.453023e-03):5.040341e-04,22:2.151747e-04):5.651247e-03,28:6.248017e-03):3.254488e-03,(((8:1.136546e-03,14:8.068199e-04):2.141239e-02,9:1.953761e-02):1.467686e-02,18:7.712162e-03):4.544742e-03):8.164754e-04,25:6.205738e-03):1.522388e-03,(6:3.286617e-03,(7:3.237811e-03,29:1.270688e-02):2.182816e-03):2.611535e-03):3.765482e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -7484.05 -7515.10
2 -7483.50 -7514.69
--------------------------------------
TOTAL -7483.74 -7514.91
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.156797 0.000134 0.134497 0.178876 0.156349 1228.32 1364.66 1.000
r(A<->C){all} 0.055321 0.000149 0.032386 0.078147 0.054434 969.88 1055.65 1.000
r(A<->G){all} 0.151862 0.000448 0.112181 0.193772 0.150759 756.89 904.34 1.002
r(A<->T){all} 0.072120 0.000142 0.050287 0.096818 0.071785 647.55 748.58 1.000
r(C<->G){all} 0.069538 0.000252 0.038188 0.099383 0.068427 777.00 927.48 1.005
r(C<->T){all} 0.548394 0.000883 0.490673 0.605908 0.548082 585.72 646.33 1.000
r(G<->T){all} 0.102766 0.000296 0.070216 0.137193 0.101962 887.26 907.27 1.000
pi(A){all} 0.279875 0.000055 0.266377 0.295131 0.279698 973.84 1076.40 1.000
pi(C){all} 0.232378 0.000048 0.218800 0.245480 0.232409 886.18 1048.79 1.000
pi(G){all} 0.181701 0.000044 0.169389 0.195134 0.181584 986.60 1044.78 1.001
pi(T){all} 0.306047 0.000057 0.291574 0.321130 0.306062 733.25 908.16 1.000
alpha{1,2} 0.191222 0.004661 0.046877 0.327570 0.189392 866.12 909.07 1.000
alpha{3} 2.695398 1.708067 0.687728 5.223943 2.458444 1071.04 1088.22 1.000
pinvar{all} 0.666877 0.002267 0.568859 0.750718 0.674025 659.46 732.54 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/NH_S_ANA78443_1_2015_02_16_China_Swine_Porcine_coronavirus_HKU15.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 1159
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 31 32 31 31 32 29 | Ser TCT 30 32 29 30 33 29 | Tyr TAT 25 26 24 24 28 29 | Cys TGT 22 23 22 22 23 22
TTC 19 19 19 19 18 20 | TCC 17 16 17 17 13 15 | TAC 24 23 25 25 21 20 | TGC 12 11 12 12 11 12
Leu TTA 21 20 21 21 20 16 | TCA 20 19 20 20 19 21 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 16 14 15 15 14 | TCG 4 4 4 4 5 5 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 36 37 36 36 38 39 | Pro CCT 20 18 21 20 20 20 | His CAT 9 9 9 9 9 7 | Arg CGT 9 10 9 9 9 8
CTC 21 21 21 21 19 21 | CCC 7 8 7 7 8 9 | CAC 10 10 10 10 9 8 | CGC 4 4 4 4 4 6
CTA 16 14 17 16 16 17 | CCA 10 10 10 10 10 9 | Gln CAA 30 31 29 29 33 35 | CGA 3 3 3 4 3 3
CTG 12 11 12 12 11 15 | CCG 4 4 4 4 4 4 | CAG 35 34 34 34 33 33 | CGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 39 39 39 38 37 39 | Thr ACT 56 56 58 57 56 58 | Asn AAT 51 47 49 49 49 49 | Ser AGT 11 14 11 11 11 12
ATC 17 16 17 16 17 16 | ACC 27 29 26 27 29 23 | AAC 34 38 36 36 36 37 | AGC 11 9 11 11 11 10
ATA 21 21 21 21 21 23 | ACA 28 28 28 28 28 28 | Lys AAA 17 17 18 17 17 19 | Arg AGA 14 14 14 14 13 14
Met ATG 19 19 19 19 19 18 | ACG 6 5 5 6 4 4 | AAG 14 14 14 14 14 13 | AGG 7 5 7 7 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 43 43 43 44 46 42 | Ala GCT 27 26 27 27 26 30 | Asp GAT 29 29 30 29 31 32 | Gly GGT 25 26 25 25 25 26
GTC 13 14 12 13 12 14 | GCC 15 16 15 15 16 15 | GAC 21 21 22 21 21 20 | GGC 26 25 26 26 25 24
GTA 14 14 14 14 15 16 | GCA 35 35 35 36 35 33 | Glu GAA 20 20 20 20 19 19 | GGA 9 9 9 9 9 9
GTG 10 10 10 10 8 7 | GCG 1 1 1 0 3 2 | GAG 18 19 18 19 18 17 | GGG 1 1 1 1 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 31 31 31 30 31 30 | Ser TCT 30 30 32 30 30 29 | Tyr TAT 25 25 24 24 24 30 | Cys TGT 22 22 22 22 22 22
TTC 19 19 19 19 19 20 | TCC 17 17 17 17 17 17 | TAC 24 24 25 25 25 19 | TGC 12 12 12 12 12 11
Leu TTA 21 21 21 21 21 18 | TCA 20 20 19 20 20 20 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 15 15 15 14 15 | TCG 4 4 4 4 4 2 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 36 36 35 36 36 38 | Pro CCT 20 20 20 20 20 21 | His CAT 9 9 9 9 9 10 | Arg CGT 9 9 9 9 9 10
CTC 21 21 21 22 21 21 | CCC 7 7 7 7 7 9 | CAC 10 10 10 10 10 8 | CGC 4 4 4 4 4 4
CTA 16 16 16 16 17 16 | CCA 10 10 10 10 10 9 | Gln CAA 30 30 30 30 30 31 | CGA 3 3 3 3 3 3
CTG 12 12 12 12 12 14 | CCG 4 4 4 4 4 4 | CAG 35 34 34 34 34 32 | CGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 39 39 39 39 39 42 | Thr ACT 56 57 57 58 58 60 | Asn AAT 51 50 50 50 49 49 | Ser AGT 11 11 11 11 11 11
ATC 17 17 17 17 17 13 | ACC 27 26 27 26 26 24 | AAC 34 35 33 35 36 36 | AGC 11 11 11 11 11 11
ATA 21 22 21 21 21 21 | ACA 28 27 28 28 28 28 | Lys AAA 17 17 18 17 17 19 | Arg AGA 14 14 14 14 14 12
Met ATG 19 19 19 19 19 19 | ACG 6 6 6 5 5 4 | AAG 14 14 15 14 14 14 | AGG 7 7 7 7 7 8
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 43 43 43 43 43 42 | Ala GCT 27 27 27 28 27 30 | Asp GAT 29 29 29 29 29 30 | Gly GGT 25 25 25 25 25 29
GTC 13 13 13 13 13 16 | GCC 15 15 15 15 15 12 | GAC 21 21 20 21 21 19 | GGC 26 26 26 26 26 23
GTA 14 14 14 15 14 17 | GCA 35 35 35 33 35 34 | Glu GAA 20 20 20 20 20 21 | GGA 9 9 9 9 9 8
GTG 10 10 10 10 10 7 | GCG 1 1 1 1 1 3 | GAG 18 19 19 19 19 18 | GGG 1 1 1 1 1 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 31 30 35 32 31 31 | Ser TCT 30 33 33 33 30 30 | Tyr TAT 25 28 27 28 24 25 | Cys TGT 21 23 23 23 22 21
TTC 19 20 16 18 19 19 | TCC 17 14 13 12 17 17 | TAC 24 20 22 21 25 24 | TGC 13 11 11 11 12 13
Leu TTA 20 19 22 21 21 21 | TCA 20 20 19 19 20 20 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 16 15 15 15 15 | TCG 4 4 5 5 4 4 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 36 40 36 37 35 36 | Pro CCT 20 19 19 19 20 20 | His CAT 9 8 8 9 9 9 | Arg CGT 9 8 11 9 9 9
CTC 21 20 22 21 22 21 | CCC 7 7 6 9 7 7 | CAC 10 11 9 10 10 10 | CGC 4 4 3 4 4 4
CTA 17 15 17 16 16 16 | CCA 10 10 11 10 10 10 | Gln CAA 30 31 32 31 30 31 | CGA 3 3 3 3 3 3
CTG 12 12 11 12 12 12 | CCG 4 4 4 4 4 4 | CAG 34 34 33 33 34 34 | CGG 6 7 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 39 37 39 40 39 39 | Thr ACT 57 53 55 55 57 57 | Asn AAT 51 50 49 48 50 51 | Ser AGT 10 12 12 10 11 10
ATC 17 16 16 15 17 17 | ACC 26 30 29 28 26 26 | AAC 34 35 36 37 35 34 | AGC 11 11 11 11 11 11
ATA 21 21 21 21 21 21 | ACA 28 29 28 30 28 28 | Lys AAA 17 17 18 17 17 17 | Arg AGA 15 14 14 14 14 15
Met ATG 19 19 19 19 19 19 | ACG 6 5 5 4 6 6 | AAG 14 14 13 14 14 14 | AGG 7 6 6 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 43 45 42 43 43 43 | Ala GCT 27 27 27 29 27 27 | Asp GAT 29 30 29 30 29 29 | Gly GGT 25 25 25 25 25 25
GTC 13 13 14 13 13 13 | GCC 15 16 15 14 15 15 | GAC 21 20 21 20 21 21 | GGC 26 26 25 25 26 26
GTA 14 14 16 15 15 14 | GCA 35 34 34 35 34 35 | Glu GAA 20 20 20 21 20 19 | GGA 9 8 8 8 9 9
GTG 10 9 8 9 10 10 | GCG 1 3 2 2 1 1 | GAG 19 19 19 18 19 19 | GGG 1 2 3 3 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 31 31 31 31 31 31 | Ser TCT 30 29 30 32 30 31 | Tyr TAT 24 24 24 24 24 25 | Cys TGT 22 22 22 22 22 21
TTC 19 19 19 19 19 19 | TCC 17 17 17 17 17 17 | TAC 25 25 25 25 25 25 | TGC 12 12 12 12 12 13
Leu TTA 21 21 21 21 21 21 | TCA 20 21 20 19 20 20 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 15 15 15 15 15 | TCG 4 4 4 4 4 4 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 35 36 36 35 36 37 | Pro CCT 20 21 20 20 19 19 | His CAT 9 9 9 9 9 9 | Arg CGT 9 9 9 9 9 9
CTC 22 21 21 21 21 21 | CCC 7 7 7 7 8 7 | CAC 10 10 10 10 10 9 | CGC 4 4 4 4 4 4
CTA 16 16 16 16 16 16 | CCA 10 10 10 10 10 10 | Gln CAA 30 30 30 30 30 30 | CGA 3 3 3 3 3 3
CTG 12 12 12 12 12 12 | CCG 4 3 4 4 4 4 | CAG 34 34 34 34 34 34 | CGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 39 39 39 39 39 38 | Thr ACT 57 58 57 57 57 56 | Asn AAT 50 50 50 50 50 51 | Ser AGT 11 11 11 11 11 11
ATC 17 17 17 17 17 17 | ACC 26 26 26 27 26 27 | AAC 35 35 35 33 35 35 | AGC 11 11 11 11 11 11
ATA 21 21 21 21 20 21 | ACA 28 28 28 28 28 28 | Lys AAA 17 17 17 18 17 17 | Arg AGA 14 14 14 14 14 14
Met ATG 19 19 19 19 19 19 | ACG 6 5 6 6 5 6 | AAG 14 14 14 15 14 13 | AGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 43 43 43 43 43 44 | Ala GCT 27 27 27 27 27 26 | Asp GAT 29 29 29 29 29 29 | Gly GGT 25 25 25 25 25 25
GTC 13 13 13 13 13 13 | GCC 15 15 15 15 15 15 | GAC 21 21 21 20 21 21 | GGC 26 26 26 26 26 26
GTA 15 14 14 14 15 14 | GCA 34 35 35 35 35 35 | Glu GAA 20 20 20 20 20 20 | GGA 9 9 9 9 9 9
GTG 10 10 10 10 10 10 | GCG 1 1 1 1 2 1 | GAG 19 19 19 19 19 19 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 29 31 33 31 32 32 | Ser TCT 29 31 32 30 33 33 | Tyr TAT 29 24 27 24 28 27 | Cys TGT 22 22 22 22 23 23
TTC 20 19 18 19 19 18 | TCC 15 16 14 17 12 13 | TAC 20 25 23 25 21 22 | TGC 12 12 11 12 11 11
Leu TTA 16 21 21 20 21 21 | TCA 21 20 19 21 19 20 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 14 14 16 15 15 15 | TCG 5 4 4 4 5 4 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 9 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 37 36 34 36 37 38 | Pro CCT 20 20 19 20 19 19 | His CAT 7 9 10 9 9 9 | Arg CGT 8 9 9 9 9 9
CTC 23 21 22 21 20 21 | CCC 9 7 6 7 9 6 | CAC 8 10 9 10 10 10 | CGC 6 4 3 4 4 4
CTA 17 17 18 16 16 16 | CCA 9 10 11 10 10 11 | Gln CAA 35 29 28 30 31 31 | CGA 3 3 6 3 3 3
CTG 15 12 12 12 12 12 | CCG 4 4 5 4 4 4 | CAG 33 34 33 34 33 33 | CGG 6 6 7 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 38 39 39 39 39 38 | Thr ACT 58 58 56 57 57 54 | Asn AAT 48 49 46 50 50 49 | Ser AGT 13 11 13 11 10 12
ATC 16 17 18 17 15 19 | ACC 23 26 28 26 26 28 | AAC 38 36 34 36 36 36 | AGC 10 11 11 11 11 11
ATA 23 22 22 21 21 21 | ACA 28 27 28 28 30 28 | Lys AAA 19 18 20 17 17 17 | Arg AGA 14 14 13 14 14 14
Met ATG 18 19 19 19 19 19 | ACG 4 5 5 6 4 5 | AAG 13 14 13 13 14 14 | AGG 8 7 6 7 7 6
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 42 43 41 43 43 42 | Ala GCT 30 27 28 27 29 27 | Asp GAT 32 29 30 29 30 29 | Gly GGT 26 26 23 25 26 25
GTC 15 13 16 13 14 13 | GCC 15 15 14 15 14 16 | GAC 19 21 21 21 20 21 | GGC 24 25 26 26 25 26
GTA 16 14 14 14 14 16 | GCA 33 35 34 36 35 35 | Glu GAA 19 20 20 20 21 20 | GGA 9 9 8 9 8 9
GTG 7 10 8 10 9 8 | GCG 2 1 1 0 2 2 | GAG 17 19 18 19 18 19 | GGG 2 1 5 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C52
position 1: T:0.21398 C:0.20017 A:0.32097 G:0.26488
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39948 C:0.23986 A:0.22261 G:0.13805
Average T:0.30429 C:0.23497 A:0.27811 G:0.18263
#2: C6
position 1: T:0.21484 C:0.19845 A:0.32010 G:0.26661
position 2: T:0.29853 C:0.26488 A:0.29163 G:0.14495
position 3: T:0.40293 C:0.24159 A:0.22002 G:0.13546
Average T:0.30544 C:0.23497 A:0.27725 G:0.18234
#3: C54
position 1: T:0.21225 C:0.20017 A:0.32183 G:0.26575
position 2: T:0.29853 C:0.26488 A:0.29163 G:0.14495
position 3: T:0.39948 C:0.24159 A:0.22347 G:0.13546
Average T:0.30342 C:0.23555 A:0.27898 G:0.18205
#4: C9
position 1: T:0.21398 C:0.19931 A:0.32010 G:0.26661
position 2: T:0.29853 C:0.26575 A:0.28991 G:0.14582
position 3: T:0.39776 C:0.24159 A:0.22347 G:0.13719
Average T:0.30342 C:0.23555 A:0.27783 G:0.18320
#5: C4
position 1: T:0.21225 C:0.20017 A:0.31924 G:0.26833
position 2: T:0.29681 C:0.26661 A:0.29163 G:0.14495
position 3: T:0.40811 C:0.23296 A:0.22261 G:0.13632
Average T:0.30572 C:0.23325 A:0.27783 G:0.18320
#6: C23
position 1: T:0.20708 C:0.20708 A:0.32010 G:0.26575
position 2: T:0.29853 C:0.26316 A:0.29163 G:0.14668
position 3: T:0.40638 C:0.23296 A:0.22606 G:0.13460
Average T:0.30400 C:0.23440 A:0.27926 G:0.18234
#7: C14
position 1: T:0.21398 C:0.20017 A:0.32097 G:0.26488
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39948 C:0.23986 A:0.22261 G:0.13805
Average T:0.30429 C:0.23497 A:0.27811 G:0.18263
#8: C41
position 1: T:0.21398 C:0.19931 A:0.32097 G:0.26575
position 2: T:0.30026 C:0.26402 A:0.29077 G:0.14495
position 3: T:0.39948 C:0.23986 A:0.22261 G:0.13805
Average T:0.30457 C:0.23440 A:0.27811 G:0.18292
#9: C15
position 1: T:0.21484 C:0.19845 A:0.32183 G:0.26488
position 2: T:0.29853 C:0.26661 A:0.28991 G:0.14495
position 3: T:0.39948 C:0.23900 A:0.22261 G:0.13891
Average T:0.30429 C:0.23469 A:0.27811 G:0.18292
#10: C47
position 1: T:0.21311 C:0.20017 A:0.32097 G:0.26575
position 2: T:0.30026 C:0.26402 A:0.29077 G:0.14495
position 3: T:0.39948 C:0.24159 A:0.22174 G:0.13719
Average T:0.30429 C:0.23526 A:0.27783 G:0.18263
#11: C17
position 1: T:0.21311 C:0.20017 A:0.32097 G:0.26575
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39862 C:0.24159 A:0.22347 G:0.13632
Average T:0.30371 C:0.23555 A:0.27840 G:0.18234
#12: C26
position 1: T:0.20794 C:0.20362 A:0.32010 G:0.26833
position 2: T:0.30112 C:0.26402 A:0.28991 G:0.14495
position 3: T:0.41674 C:0.22692 A:0.22174 G:0.13460
Average T:0.30860 C:0.23152 A:0.27725 G:0.18263
#13: C30
position 1: T:0.21311 C:0.20017 A:0.32097 G:0.26575
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39862 C:0.23986 A:0.22347 G:0.13805
Average T:0.30371 C:0.23497 A:0.27840 G:0.18292
#14: C5
position 1: T:0.21225 C:0.20104 A:0.31838 G:0.26833
position 2: T:0.29853 C:0.26575 A:0.29077 G:0.14495
position 3: T:0.40380 C:0.23641 A:0.22002 G:0.13978
Average T:0.30486 C:0.23440 A:0.27639 G:0.18435
#15: C20
position 1: T:0.21484 C:0.19931 A:0.32010 G:0.26575
position 2: T:0.30112 C:0.26316 A:0.28991 G:0.14582
position 3: T:0.40552 C:0.23210 A:0.22692 G:0.13546
Average T:0.30716 C:0.23152 A:0.27898 G:0.18234
#16: C3
position 1: T:0.21225 C:0.20104 A:0.31924 G:0.26747
position 2: T:0.29940 C:0.26575 A:0.29077 G:0.14409
position 3: T:0.40552 C:0.23210 A:0.22519 G:0.13719
Average T:0.30572 C:0.23296 A:0.27840 G:0.18292
#17: C40
position 1: T:0.21398 C:0.19931 A:0.32097 G:0.26575
position 2: T:0.30026 C:0.26402 A:0.29077 G:0.14495
position 3: T:0.39776 C:0.24159 A:0.22261 G:0.13805
Average T:0.30400 C:0.23497 A:0.27811 G:0.18292
#18: C29
position 1: T:0.21398 C:0.20017 A:0.32097 G:0.26488
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39862 C:0.23986 A:0.22347 G:0.13805
Average T:0.30400 C:0.23497 A:0.27840 G:0.18263
#19: C39
position 1: T:0.21398 C:0.19931 A:0.32097 G:0.26575
position 2: T:0.30026 C:0.26402 A:0.29077 G:0.14495
position 3: T:0.39776 C:0.24159 A:0.22261 G:0.13805
Average T:0.30400 C:0.23497 A:0.27811 G:0.18292
#20: C16
position 1: T:0.21398 C:0.19931 A:0.32097 G:0.26575
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39948 C:0.24072 A:0.22347 G:0.13632
Average T:0.30429 C:0.23497 A:0.27840 G:0.18234
#21: C46
position 1: T:0.21398 C:0.19931 A:0.32097 G:0.26575
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39862 C:0.24072 A:0.22261 G:0.13805
Average T:0.30400 C:0.23497 A:0.27811 G:0.18292
#22: C38
position 1: T:0.21484 C:0.19845 A:0.32183 G:0.26488
position 2: T:0.29853 C:0.26661 A:0.28991 G:0.14495
position 3: T:0.39948 C:0.23900 A:0.22261 G:0.13891
Average T:0.30429 C:0.23469 A:0.27811 G:0.18292
#23: C32
position 1: T:0.21398 C:0.19931 A:0.31924 G:0.26747
position 2: T:0.29940 C:0.26488 A:0.29077 G:0.14495
position 3: T:0.39776 C:0.24159 A:0.22261 G:0.13805
Average T:0.30371 C:0.23526 A:0.27754 G:0.18349
#24: C48
position 1: T:0.21570 C:0.19845 A:0.32010 G:0.26575
position 2: T:0.30026 C:0.26402 A:0.29077 G:0.14495
position 3: T:0.39862 C:0.24159 A:0.22261 G:0.13719
Average T:0.30486 C:0.23469 A:0.27783 G:0.18263
#25: C35
position 1: T:0.20708 C:0.20708 A:0.32010 G:0.26575
position 2: T:0.29853 C:0.26316 A:0.29077 G:0.14754
position 3: T:0.40380 C:0.23555 A:0.22606 G:0.13460
Average T:0.30313 C:0.23526 A:0.27898 G:0.18263
#26: C36
position 1: T:0.21311 C:0.19931 A:0.32183 G:0.26575
position 2: T:0.30026 C:0.26402 A:0.29077 G:0.14495
position 3: T:0.40035 C:0.23986 A:0.22347 G:0.13632
Average T:0.30457 C:0.23440 A:0.27869 G:0.18234
#27: C7
position 1: T:0.21484 C:0.20017 A:0.32010 G:0.26488
position 2: T:0.30285 C:0.26230 A:0.28645 G:0.14840
position 3: T:0.39862 C:0.23641 A:0.22606 G:0.13891
Average T:0.30544 C:0.23296 A:0.27754 G:0.18407
#28: C42
position 1: T:0.21398 C:0.19931 A:0.32097 G:0.26575
position 2: T:0.29853 C:0.26575 A:0.29077 G:0.14495
position 3: T:0.39862 C:0.24159 A:0.22347 G:0.13632
Average T:0.30371 C:0.23555 A:0.27840 G:0.18234
#29: C11
position 1: T:0.21311 C:0.20017 A:0.31924 G:0.26747
position 2: T:0.29853 C:0.26575 A:0.29163 G:0.14409
position 3: T:0.40897 C:0.23037 A:0.22433 G:0.13632
Average T:0.30687 C:0.23210 A:0.27840 G:0.18263
#30: C2
position 1: T:0.21311 C:0.20017 A:0.32010 G:0.26661
position 2: T:0.30112 C:0.26316 A:0.29077 G:0.14495
position 3: T:0.40207 C:0.23727 A:0.22606 G:0.13460
Average T:0.30544 C:0.23353 A:0.27898 G:0.18205
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 934 | Ser S TCT 923 | Tyr Y TAT 769 | Cys C TGT 664
TTC 567 | TCC 476 | TAC 702 | TGC 354
Leu L TTA 612 | TCA 596 | *** * TAA 0 | *** * TGA 0
TTG 448 | TCG 124 | TAG 0 | Trp W TGG 241
------------------------------------------------------------------------------
Leu L CTT 1092 | Pro P CCT 593 | His H CAT 266 | Arg R CGT 271
CTC 633 | CCC 220 | CAC 291 | CGC 122
CTA 486 | CCA 300 | Gln Q CAA 917 | CGA 94
CTG 365 | CCG 120 | CAG 1012 | CGG 182
------------------------------------------------------------------------------
Ile I ATT 1166 | Thr T ACT 1703 | Asn N AAT 1485 | Ser S AGT 337
ATC 499 | ACC 797 | AAC 1061 | AGC 326
ATA 636 | ACA 843 | Lys K AAA 524 | Arg R AGA 418
Met M ATG 568 | ACG 157 | AAG 416 | AGG 208
------------------------------------------------------------------------------
Val V GTT 1290 | Ala A GCT 822 | Asp D GAT 884 | Gly G GGT 757
GTC 400 | GCC 448 | GAC 621 | GGC 767
GTA 437 | GCA 1040 | Glu E GAA 599 | GGA 264
GTG 280 | GCG 41 | GAG 558 | GGG 44
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.21311 C:0.20029 A:0.32051 G:0.26609
position 2: T:0.29948 C:0.26468 A:0.29062 G:0.14521
position 3: T:0.40138 C:0.23825 A:0.22335 G:0.13701
Average T:0.30466 C:0.23441 A:0.27816 G:0.18277
Model 1: NearlyNeutral (2 categories)
TREE # 1: (29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
check convergence..
lnL(ntime: 50 np: 53): -7319.929029 +0.000000
31..29 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..7 38..1 37..8 36..39 39..9 39..22 36..20 36..40 40..41 41..11 41..42 42..26 42..3 40..10 36..43 43..44 44..18 44..13 43..24 36..23 36..45 45..19 45..17 36..46 46..28 46..4 36..21 35..2 34..47 47..48 48..49 49..6 49..25 48..12 47..5 33..14 32..50 50..30 50..51 51..15 51..27
0.006576 0.001781 0.009971 0.004147 0.001679 0.008783 0.016116 0.000897 0.002696 0.000004 0.000004 0.000899 0.006310 0.000004 0.000004 0.002695 0.000898 0.002694 0.000004 0.000897 0.002690 0.002691 0.003596 0.001792 0.004505 0.001798 0.000004 0.005409 0.004492 0.001795 0.000004 0.000004 0.000897 0.002697 0.003598 0.000004 0.016696 0.010938 0.038319 0.055512 0.002593 0.001905 0.049849 0.021834 0.017310 0.007143 0.009077 0.005563 0.008755 0.034549 3.025651 0.873227 0.028097
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.383079
(29: 0.006576, 16: 0.001781, (((((((7: 0.000004, 1: 0.000004): 0.002696, 8: 0.000899): 0.000897, (9: 0.000004, 22: 0.000004): 0.006310, 20: 0.002695, ((11: 0.000004, (26: 0.002690, 3: 0.002691): 0.000897): 0.002694, 10: 0.003596): 0.000898, ((18: 0.001798, 13: 0.000004): 0.004505, 24: 0.005409): 0.001792, 23: 0.004492, (19: 0.000004, 17: 0.000004): 0.001795, (28: 0.002697, 4: 0.003598): 0.000897, 21: 0.000004): 0.016116, 2: 0.016696): 0.008783, (((6: 0.002593, 25: 0.001905): 0.055512, 12: 0.049849): 0.038319, 5: 0.021834): 0.010938): 0.001679, 14: 0.017310): 0.004147, (30: 0.009077, (15: 0.008755, 27: 0.034549): 0.005563): 0.007143): 0.009971);
(C11: 0.006576, C3: 0.001781, (((((((C14: 0.000004, C52: 0.000004): 0.002696, C41: 0.000899): 0.000897, (C15: 0.000004, C38: 0.000004): 0.006310, C16: 0.002695, ((C17: 0.000004, (C36: 0.002690, C54: 0.002691): 0.000897): 0.002694, C47: 0.003596): 0.000898, ((C29: 0.001798, C30: 0.000004): 0.004505, C48: 0.005409): 0.001792, C32: 0.004492, (C39: 0.000004, C40: 0.000004): 0.001795, (C42: 0.002697, C9: 0.003598): 0.000897, C46: 0.000004): 0.016116, C6: 0.016696): 0.008783, (((C23: 0.002593, C35: 0.001905): 0.055512, C26: 0.049849): 0.038319, C4: 0.021834): 0.010938): 0.001679, C5: 0.017310): 0.004147, (C2: 0.009077, (C20: 0.008755, C7: 0.034549): 0.005563): 0.007143): 0.009971);
Detailed output identifying parameters
kappa (ts/tv) = 3.02565
MLEs of dN/dS (w) for site classes (K=2)
p: 0.87323 0.12677
w: 0.02810 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..29 0.007 2571.3 905.7 0.1513 0.0009 0.0059 2.3 5.3
31..16 0.002 2571.3 905.7 0.1513 0.0002 0.0016 0.6 1.4
31..32 0.010 2571.3 905.7 0.1513 0.0014 0.0089 3.5 8.1
32..33 0.004 2571.3 905.7 0.1513 0.0006 0.0037 1.4 3.4
33..34 0.002 2571.3 905.7 0.1513 0.0002 0.0015 0.6 1.4
34..35 0.009 2571.3 905.7 0.1513 0.0012 0.0079 3.1 7.1
35..36 0.016 2571.3 905.7 0.1513 0.0022 0.0144 5.6 13.1
36..37 0.001 2571.3 905.7 0.1513 0.0001 0.0008 0.3 0.7
37..38 0.003 2571.3 905.7 0.1513 0.0004 0.0024 0.9 2.2
38..7 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
38..1 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
37..8 0.001 2571.3 905.7 0.1513 0.0001 0.0008 0.3 0.7
36..39 0.006 2571.3 905.7 0.1513 0.0009 0.0056 2.2 5.1
39..9 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
39..22 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
36..20 0.003 2571.3 905.7 0.1513 0.0004 0.0024 0.9 2.2
36..40 0.001 2571.3 905.7 0.1513 0.0001 0.0008 0.3 0.7
40..41 0.003 2571.3 905.7 0.1513 0.0004 0.0024 0.9 2.2
41..11 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
41..42 0.001 2571.3 905.7 0.1513 0.0001 0.0008 0.3 0.7
42..26 0.003 2571.3 905.7 0.1513 0.0004 0.0024 0.9 2.2
42..3 0.003 2571.3 905.7 0.1513 0.0004 0.0024 0.9 2.2
40..10 0.004 2571.3 905.7 0.1513 0.0005 0.0032 1.3 2.9
36..43 0.002 2571.3 905.7 0.1513 0.0002 0.0016 0.6 1.5
43..44 0.005 2571.3 905.7 0.1513 0.0006 0.0040 1.6 3.7
44..18 0.002 2571.3 905.7 0.1513 0.0002 0.0016 0.6 1.5
44..13 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
43..24 0.005 2571.3 905.7 0.1513 0.0007 0.0048 1.9 4.4
36..23 0.004 2571.3 905.7 0.1513 0.0006 0.0040 1.6 3.6
36..45 0.002 2571.3 905.7 0.1513 0.0002 0.0016 0.6 1.5
45..19 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
45..17 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
36..46 0.001 2571.3 905.7 0.1513 0.0001 0.0008 0.3 0.7
46..28 0.003 2571.3 905.7 0.1513 0.0004 0.0024 0.9 2.2
46..4 0.004 2571.3 905.7 0.1513 0.0005 0.0032 1.3 2.9
36..21 0.000 2571.3 905.7 0.1513 0.0000 0.0000 0.0 0.0
35..2 0.017 2571.3 905.7 0.1513 0.0023 0.0149 5.8 13.5
34..47 0.011 2571.3 905.7 0.1513 0.0015 0.0098 3.8 8.9
47..48 0.038 2571.3 905.7 0.1513 0.0052 0.0343 13.3 31.1
48..49 0.056 2571.3 905.7 0.1513 0.0075 0.0497 19.3 45.0
49..6 0.003 2571.3 905.7 0.1513 0.0004 0.0023 0.9 2.1
49..25 0.002 2571.3 905.7 0.1513 0.0003 0.0017 0.7 1.5
48..12 0.050 2571.3 905.7 0.1513 0.0068 0.0446 17.4 40.4
47..5 0.022 2571.3 905.7 0.1513 0.0030 0.0195 7.6 17.7
33..14 0.017 2571.3 905.7 0.1513 0.0023 0.0155 6.0 14.0
32..50 0.007 2571.3 905.7 0.1513 0.0010 0.0064 2.5 5.8
50..30 0.009 2571.3 905.7 0.1513 0.0012 0.0081 3.2 7.4
50..51 0.006 2571.3 905.7 0.1513 0.0008 0.0050 1.9 4.5
51..15 0.009 2571.3 905.7 0.1513 0.0012 0.0078 3.0 7.1
51..27 0.035 2571.3 905.7 0.1513 0.0047 0.0309 12.0 28.0
Time used: 7:58
Model 2: PositiveSelection (3 categories)
TREE # 1: (29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
check convergence..
lnL(ntime: 50 np: 55): -7313.200978 +0.000000
31..29 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..7 38..1 37..8 36..39 39..9 39..22 36..20 36..40 40..41 41..11 41..42 42..26 42..3 40..10 36..43 43..44 44..18 44..13 43..24 36..23 36..45 45..19 45..17 36..46 46..28 46..4 36..21 35..2 34..47 47..48 48..49 49..6 49..25 48..12 47..5 33..14 32..50 50..30 50..51 51..15 51..27
0.006660 0.001812 0.010101 0.004187 0.001704 0.008848 0.016254 0.000904 0.002718 0.000004 0.000004 0.000906 0.006361 0.000004 0.000004 0.002718 0.000906 0.002717 0.000004 0.000903 0.002713 0.002713 0.003625 0.001807 0.004545 0.001815 0.000004 0.005446 0.004529 0.001811 0.000004 0.000004 0.000904 0.002715 0.003628 0.000004 0.016904 0.010949 0.039077 0.056402 0.002585 0.001936 0.050295 0.022282 0.017550 0.007221 0.009180 0.005704 0.008805 0.035042 3.131173 0.965820 0.000000 0.080053 2.936081
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.387919
(29: 0.006660, 16: 0.001812, (((((((7: 0.000004, 1: 0.000004): 0.002718, 8: 0.000906): 0.000904, (9: 0.000004, 22: 0.000004): 0.006361, 20: 0.002718, ((11: 0.000004, (26: 0.002713, 3: 0.002713): 0.000903): 0.002717, 10: 0.003625): 0.000906, ((18: 0.001815, 13: 0.000004): 0.004545, 24: 0.005446): 0.001807, 23: 0.004529, (19: 0.000004, 17: 0.000004): 0.001811, (28: 0.002715, 4: 0.003628): 0.000904, 21: 0.000004): 0.016254, 2: 0.016904): 0.008848, (((6: 0.002585, 25: 0.001936): 0.056402, 12: 0.050295): 0.039077, 5: 0.022282): 0.010949): 0.001704, 14: 0.017550): 0.004187, (30: 0.009180, (15: 0.008805, 27: 0.035042): 0.005704): 0.007221): 0.010101);
(C11: 0.006660, C3: 0.001812, (((((((C14: 0.000004, C52: 0.000004): 0.002718, C41: 0.000906): 0.000904, (C15: 0.000004, C38: 0.000004): 0.006361, C16: 0.002718, ((C17: 0.000004, (C36: 0.002713, C54: 0.002713): 0.000903): 0.002717, C47: 0.003625): 0.000906, ((C29: 0.001815, C30: 0.000004): 0.004545, C48: 0.005446): 0.001807, C32: 0.004529, (C39: 0.000004, C40: 0.000004): 0.001811, (C42: 0.002715, C9: 0.003628): 0.000904, C46: 0.000004): 0.016254, C6: 0.016904): 0.008848, (((C23: 0.002585, C35: 0.001936): 0.056402, C26: 0.050295): 0.039077, C4: 0.022282): 0.010949): 0.001704, C5: 0.017550): 0.004187, (C2: 0.009180, (C20: 0.008805, C7: 0.035042): 0.005704): 0.007221): 0.010101);
Detailed output identifying parameters
kappa (ts/tv) = 3.13117
MLEs of dN/dS (w) for site classes (K=3)
p: 0.96582 0.00000 0.03418
w: 0.08005 1.00000 2.93608
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..29 0.007 2567.1 909.9 0.1777 0.0010 0.0057 2.6 5.1
31..16 0.002 2567.1 909.9 0.1777 0.0003 0.0015 0.7 1.4
31..32 0.010 2567.1 909.9 0.1777 0.0015 0.0086 3.9 7.8
32..33 0.004 2567.1 909.9 0.1777 0.0006 0.0036 1.6 3.2
33..34 0.002 2567.1 909.9 0.1777 0.0003 0.0014 0.7 1.3
34..35 0.009 2567.1 909.9 0.1777 0.0013 0.0075 3.4 6.8
35..36 0.016 2567.1 909.9 0.1777 0.0025 0.0138 6.3 12.5
36..37 0.001 2567.1 909.9 0.1777 0.0001 0.0008 0.4 0.7
37..38 0.003 2567.1 909.9 0.1777 0.0004 0.0023 1.1 2.1
38..7 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
38..1 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
37..8 0.001 2567.1 909.9 0.1777 0.0001 0.0008 0.4 0.7
36..39 0.006 2567.1 909.9 0.1777 0.0010 0.0054 2.5 4.9
39..9 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
39..22 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
36..20 0.003 2567.1 909.9 0.1777 0.0004 0.0023 1.1 2.1
36..40 0.001 2567.1 909.9 0.1777 0.0001 0.0008 0.4 0.7
40..41 0.003 2567.1 909.9 0.1777 0.0004 0.0023 1.1 2.1
41..11 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
41..42 0.001 2567.1 909.9 0.1777 0.0001 0.0008 0.3 0.7
42..26 0.003 2567.1 909.9 0.1777 0.0004 0.0023 1.0 2.1
42..3 0.003 2567.1 909.9 0.1777 0.0004 0.0023 1.0 2.1
40..10 0.004 2567.1 909.9 0.1777 0.0005 0.0031 1.4 2.8
36..43 0.002 2567.1 909.9 0.1777 0.0003 0.0015 0.7 1.4
43..44 0.005 2567.1 909.9 0.1777 0.0007 0.0039 1.8 3.5
44..18 0.002 2567.1 909.9 0.1777 0.0003 0.0015 0.7 1.4
44..13 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
43..24 0.005 2567.1 909.9 0.1777 0.0008 0.0046 2.1 4.2
36..23 0.005 2567.1 909.9 0.1777 0.0007 0.0038 1.8 3.5
36..45 0.002 2567.1 909.9 0.1777 0.0003 0.0015 0.7 1.4
45..19 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
45..17 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
36..46 0.001 2567.1 909.9 0.1777 0.0001 0.0008 0.3 0.7
46..28 0.003 2567.1 909.9 0.1777 0.0004 0.0023 1.1 2.1
46..4 0.004 2567.1 909.9 0.1777 0.0005 0.0031 1.4 2.8
36..21 0.000 2567.1 909.9 0.1777 0.0000 0.0000 0.0 0.0
35..2 0.017 2567.1 909.9 0.1777 0.0025 0.0143 6.5 13.1
34..47 0.011 2567.1 909.9 0.1777 0.0017 0.0093 4.2 8.5
47..48 0.039 2567.1 909.9 0.1777 0.0059 0.0332 15.1 30.2
48..49 0.056 2567.1 909.9 0.1777 0.0085 0.0479 21.8 43.5
49..6 0.003 2567.1 909.9 0.1777 0.0004 0.0022 1.0 2.0
49..25 0.002 2567.1 909.9 0.1777 0.0003 0.0016 0.7 1.5
48..12 0.050 2567.1 909.9 0.1777 0.0076 0.0427 19.5 38.8
47..5 0.022 2567.1 909.9 0.1777 0.0034 0.0189 8.6 17.2
33..14 0.018 2567.1 909.9 0.1777 0.0026 0.0149 6.8 13.5
32..50 0.007 2567.1 909.9 0.1777 0.0011 0.0061 2.8 5.6
50..30 0.009 2567.1 909.9 0.1777 0.0014 0.0078 3.6 7.1
50..51 0.006 2567.1 909.9 0.1777 0.0009 0.0048 2.2 4.4
51..15 0.009 2567.1 909.9 0.1777 0.0013 0.0075 3.4 6.8
51..27 0.035 2567.1 909.9 0.1777 0.0053 0.0297 13.6 27.1
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.905 2.665
40 R 0.997** 2.929
42 S 0.998** 2.930
93 L 0.803 2.373
99 H 0.916 2.696
106 L 0.998** 2.932
148 H 1.000** 2.936
158 E 0.907 2.672
230 S 0.998** 2.931
233 S 0.992** 2.913
275 E 0.900 2.650
516 V 0.888 2.617
529 F 0.899 2.647
533 K 0.915 2.693
550 V 0.997** 2.928
623 A 1.000** 2.936
641 Q 0.998** 2.929
667 T 0.901 2.654
669 I 0.993** 2.915
906 S 0.923 2.716
1015 I 0.990* 2.907
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.712 2.244 +- 0.965
40 R 0.886 2.587 +- 0.739
42 S 0.896 2.606 +- 0.723
93 L 0.585 1.977 +- 1.025
99 H 0.729 2.279 +- 0.952
106 L 0.914 2.638 +- 0.693
148 H 0.974* 2.739 +- 0.565
158 E 0.716 2.252 +- 0.963
230 S 0.907 2.625 +- 0.706
233 S 0.796 2.420 +- 0.847
275 E 0.704 2.227 +- 0.971
516 V 0.687 2.193 +- 0.982
529 F 0.702 2.224 +- 0.972
533 K 0.727 2.275 +- 0.954
550 V 0.885 2.585 +- 0.741
623 A 0.943 2.687 +- 0.635
641 Q 0.893 2.601 +- 0.728
667 T 0.706 2.232 +- 0.970
669 I 0.808 2.442 +- 0.836
906 S 0.741 2.303 +- 0.942
1015 I 0.774 2.377 +- 0.866
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.009 0.713 0.266 0.011 0.000 0.000 0.000 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.999
sum of density on p0-p1 = 1.000000
Time used: 27:32
Model 7: beta (10 categories)
TREE # 1: (29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
lnL(ntime: 50 np: 53): -7321.252785 +0.000000
31..29 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..7 38..1 37..8 36..39 39..9 39..22 36..20 36..40 40..41 41..11 41..42 42..26 42..3 40..10 36..43 43..44 44..18 44..13 43..24 36..23 36..45 45..19 45..17 36..46 46..28 46..4 36..21 35..2 34..47 47..48 48..49 49..6 49..25 48..12 47..5 33..14 32..50 50..30 50..51 51..15 51..27
0.006546 0.001772 0.009926 0.004128 0.001671 0.008745 0.016043 0.000894 0.002684 0.000004 0.000004 0.000895 0.006282 0.000004 0.000004 0.002684 0.000894 0.002682 0.000004 0.000893 0.002678 0.002679 0.003580 0.001784 0.004485 0.001790 0.000004 0.005386 0.004472 0.001787 0.000004 0.000004 0.000893 0.002685 0.003582 0.000004 0.016620 0.010895 0.038145 0.055280 0.002584 0.001895 0.049642 0.021732 0.017232 0.007112 0.009036 0.005535 0.008718 0.034403 3.017016 0.033773 0.193297
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.381406
(29: 0.006546, 16: 0.001772, (((((((7: 0.000004, 1: 0.000004): 0.002684, 8: 0.000895): 0.000894, (9: 0.000004, 22: 0.000004): 0.006282, 20: 0.002684, ((11: 0.000004, (26: 0.002678, 3: 0.002679): 0.000893): 0.002682, 10: 0.003580): 0.000894, ((18: 0.001790, 13: 0.000004): 0.004485, 24: 0.005386): 0.001784, 23: 0.004472, (19: 0.000004, 17: 0.000004): 0.001787, (28: 0.002685, 4: 0.003582): 0.000893, 21: 0.000004): 0.016043, 2: 0.016620): 0.008745, (((6: 0.002584, 25: 0.001895): 0.055280, 12: 0.049642): 0.038145, 5: 0.021732): 0.010895): 0.001671, 14: 0.017232): 0.004128, (30: 0.009036, (15: 0.008718, 27: 0.034403): 0.005535): 0.007112): 0.009926);
(C11: 0.006546, C3: 0.001772, (((((((C14: 0.000004, C52: 0.000004): 0.002684, C41: 0.000895): 0.000894, (C15: 0.000004, C38: 0.000004): 0.006282, C16: 0.002684, ((C17: 0.000004, (C36: 0.002678, C54: 0.002679): 0.000893): 0.002682, C47: 0.003580): 0.000894, ((C29: 0.001790, C30: 0.000004): 0.004485, C48: 0.005386): 0.001784, C32: 0.004472, (C39: 0.000004, C40: 0.000004): 0.001787, (C42: 0.002685, C9: 0.003582): 0.000893, C46: 0.000004): 0.016043, C6: 0.016620): 0.008745, (((C23: 0.002584, C35: 0.001895): 0.055280, C26: 0.049642): 0.038145, C4: 0.021732): 0.010895): 0.001671, C5: 0.017232): 0.004128, (C2: 0.009036, (C20: 0.008718, C7: 0.034403): 0.005535): 0.007112): 0.009926);
Detailed output identifying parameters
kappa (ts/tv) = 3.01702
Parameters in M7 (beta):
p = 0.03377 q = 0.19330
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00026 0.01764 0.45846 0.99662
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..29 0.007 2571.6 905.4 0.1473 0.0009 0.0059 2.2 5.3
31..16 0.002 2571.6 905.4 0.1473 0.0002 0.0016 0.6 1.4
31..32 0.010 2571.6 905.4 0.1473 0.0013 0.0090 3.4 8.1
32..33 0.004 2571.6 905.4 0.1473 0.0005 0.0037 1.4 3.4
33..34 0.002 2571.6 905.4 0.1473 0.0002 0.0015 0.6 1.4
34..35 0.009 2571.6 905.4 0.1473 0.0012 0.0079 3.0 7.1
35..36 0.016 2571.6 905.4 0.1473 0.0021 0.0145 5.5 13.1
36..37 0.001 2571.6 905.4 0.1473 0.0001 0.0008 0.3 0.7
37..38 0.003 2571.6 905.4 0.1473 0.0004 0.0024 0.9 2.2
38..7 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
38..1 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
37..8 0.001 2571.6 905.4 0.1473 0.0001 0.0008 0.3 0.7
36..39 0.006 2571.6 905.4 0.1473 0.0008 0.0057 2.1 5.1
39..9 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
39..22 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
36..20 0.003 2571.6 905.4 0.1473 0.0004 0.0024 0.9 2.2
36..40 0.001 2571.6 905.4 0.1473 0.0001 0.0008 0.3 0.7
40..41 0.003 2571.6 905.4 0.1473 0.0004 0.0024 0.9 2.2
41..11 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
41..42 0.001 2571.6 905.4 0.1473 0.0001 0.0008 0.3 0.7
42..26 0.003 2571.6 905.4 0.1473 0.0004 0.0024 0.9 2.2
42..3 0.003 2571.6 905.4 0.1473 0.0004 0.0024 0.9 2.2
40..10 0.004 2571.6 905.4 0.1473 0.0005 0.0032 1.2 2.9
36..43 0.002 2571.6 905.4 0.1473 0.0002 0.0016 0.6 1.5
43..44 0.004 2571.6 905.4 0.1473 0.0006 0.0040 1.5 3.7
44..18 0.002 2571.6 905.4 0.1473 0.0002 0.0016 0.6 1.5
44..13 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
43..24 0.005 2571.6 905.4 0.1473 0.0007 0.0049 1.8 4.4
36..23 0.004 2571.6 905.4 0.1473 0.0006 0.0040 1.5 3.7
36..45 0.002 2571.6 905.4 0.1473 0.0002 0.0016 0.6 1.5
45..19 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
45..17 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
36..46 0.001 2571.6 905.4 0.1473 0.0001 0.0008 0.3 0.7
46..28 0.003 2571.6 905.4 0.1473 0.0004 0.0024 0.9 2.2
46..4 0.004 2571.6 905.4 0.1473 0.0005 0.0032 1.2 2.9
36..21 0.000 2571.6 905.4 0.1473 0.0000 0.0000 0.0 0.0
35..2 0.017 2571.6 905.4 0.1473 0.0022 0.0150 5.7 13.6
34..47 0.011 2571.6 905.4 0.1473 0.0014 0.0098 3.7 8.9
47..48 0.038 2571.6 905.4 0.1473 0.0051 0.0344 13.0 31.2
48..49 0.055 2571.6 905.4 0.1473 0.0073 0.0499 18.9 45.2
49..6 0.003 2571.6 905.4 0.1473 0.0003 0.0023 0.9 2.1
49..25 0.002 2571.6 905.4 0.1473 0.0003 0.0017 0.6 1.5
48..12 0.050 2571.6 905.4 0.1473 0.0066 0.0448 17.0 40.6
47..5 0.022 2571.6 905.4 0.1473 0.0029 0.0196 7.4 17.8
33..14 0.017 2571.6 905.4 0.1473 0.0023 0.0156 5.9 14.1
32..50 0.007 2571.6 905.4 0.1473 0.0009 0.0064 2.4 5.8
50..30 0.009 2571.6 905.4 0.1473 0.0012 0.0082 3.1 7.4
50..51 0.006 2571.6 905.4 0.1473 0.0007 0.0050 1.9 4.5
51..15 0.009 2571.6 905.4 0.1473 0.0012 0.0079 3.0 7.1
51..27 0.034 2571.6 905.4 0.1473 0.0046 0.0310 11.8 28.1
Time used: 1:50:30
Model 8: beta&w>1 (11 categories)
TREE # 1: (29, 16, (((((((7, 1), 8), (9, 22), 20, ((11, (26, 3)), 10), ((18, 13), 24), 23, (19, 17), (28, 4), 21), 2), (((6, 25), 12), 5)), 14), (30, (15, 27)))); MP score: 409
check convergence..
lnL(ntime: 50 np: 55): -7313.234476 +0.000000
31..29 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..7 38..1 37..8 36..39 39..9 39..22 36..20 36..40 40..41 41..11 41..42 42..26 42..3 40..10 36..43 43..44 44..18 44..13 43..24 36..23 36..45 45..19 45..17 36..46 46..28 46..4 36..21 35..2 34..47 47..48 48..49 49..6 49..25 48..12 47..5 33..14 32..50 50..30 50..51 51..15 51..27
0.006660 0.001813 0.010100 0.004186 0.001704 0.008848 0.016253 0.000903 0.002718 0.000004 0.000004 0.000905 0.006361 0.000004 0.000004 0.002717 0.000905 0.002717 0.000004 0.000902 0.002713 0.002713 0.003625 0.001806 0.004545 0.001815 0.000004 0.005446 0.004528 0.001810 0.000004 0.000004 0.000903 0.002715 0.003628 0.000004 0.016904 0.010949 0.039076 0.056404 0.002585 0.001935 0.050293 0.022282 0.017550 0.007221 0.009180 0.005704 0.008805 0.035042 3.131010 0.965961 8.679029 99.000000 2.935964
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.387908
(29: 0.006660, 16: 0.001813, (((((((7: 0.000004, 1: 0.000004): 0.002718, 8: 0.000905): 0.000903, (9: 0.000004, 22: 0.000004): 0.006361, 20: 0.002717, ((11: 0.000004, (26: 0.002713, 3: 0.002713): 0.000902): 0.002717, 10: 0.003625): 0.000905, ((18: 0.001815, 13: 0.000004): 0.004545, 24: 0.005446): 0.001806, 23: 0.004528, (19: 0.000004, 17: 0.000004): 0.001810, (28: 0.002715, 4: 0.003628): 0.000903, 21: 0.000004): 0.016253, 2: 0.016904): 0.008848, (((6: 0.002585, 25: 0.001935): 0.056404, 12: 0.050293): 0.039076, 5: 0.022282): 0.010949): 0.001704, 14: 0.017550): 0.004186, (30: 0.009180, (15: 0.008805, 27: 0.035042): 0.005704): 0.007221): 0.010100);
(C11: 0.006660, C3: 0.001813, (((((((C14: 0.000004, C52: 0.000004): 0.002718, C41: 0.000905): 0.000903, (C15: 0.000004, C38: 0.000004): 0.006361, C16: 0.002717, ((C17: 0.000004, (C36: 0.002713, C54: 0.002713): 0.000902): 0.002717, C47: 0.003625): 0.000905, ((C29: 0.001815, C30: 0.000004): 0.004545, C48: 0.005446): 0.001806, C32: 0.004528, (C39: 0.000004, C40: 0.000004): 0.001810, (C42: 0.002715, C9: 0.003628): 0.000903, C46: 0.000004): 0.016253, C6: 0.016904): 0.008848, (((C23: 0.002585, C35: 0.001935): 0.056404, C26: 0.050293): 0.039076, C4: 0.022282): 0.010949): 0.001704, C5: 0.017550): 0.004186, (C2: 0.009180, (C20: 0.008805, C7: 0.035042): 0.005704): 0.007221): 0.010100);
Detailed output identifying parameters
kappa (ts/tv) = 3.13101
Parameters in M8 (beta&w>1):
p0 = 0.96596 p = 8.67903 q = 99.00000
(p1 = 0.03404) w = 2.93596
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09660 0.09660 0.09660 0.09660 0.09660 0.09660 0.09660 0.09660 0.09660 0.09660 0.03404
w: 0.04250 0.05403 0.06177 0.06844 0.07480 0.08130 0.08835 0.09663 0.10760 0.12756 2.93596
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..29 0.007 2567.1 909.9 0.1775 0.0010 0.0057 2.6 5.1
31..16 0.002 2567.1 909.9 0.1775 0.0003 0.0015 0.7 1.4
31..32 0.010 2567.1 909.9 0.1775 0.0015 0.0086 3.9 7.8
32..33 0.004 2567.1 909.9 0.1775 0.0006 0.0036 1.6 3.2
33..34 0.002 2567.1 909.9 0.1775 0.0003 0.0014 0.7 1.3
34..35 0.009 2567.1 909.9 0.1775 0.0013 0.0075 3.4 6.8
35..36 0.016 2567.1 909.9 0.1775 0.0024 0.0138 6.3 12.6
36..37 0.001 2567.1 909.9 0.1775 0.0001 0.0008 0.3 0.7
37..38 0.003 2567.1 909.9 0.1775 0.0004 0.0023 1.1 2.1
38..7 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
38..1 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
37..8 0.001 2567.1 909.9 0.1775 0.0001 0.0008 0.4 0.7
36..39 0.006 2567.1 909.9 0.1775 0.0010 0.0054 2.5 4.9
39..9 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
39..22 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
36..20 0.003 2567.1 909.9 0.1775 0.0004 0.0023 1.1 2.1
36..40 0.001 2567.1 909.9 0.1775 0.0001 0.0008 0.4 0.7
40..41 0.003 2567.1 909.9 0.1775 0.0004 0.0023 1.1 2.1
41..11 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
41..42 0.001 2567.1 909.9 0.1775 0.0001 0.0008 0.3 0.7
42..26 0.003 2567.1 909.9 0.1775 0.0004 0.0023 1.0 2.1
42..3 0.003 2567.1 909.9 0.1775 0.0004 0.0023 1.0 2.1
40..10 0.004 2567.1 909.9 0.1775 0.0005 0.0031 1.4 2.8
36..43 0.002 2567.1 909.9 0.1775 0.0003 0.0015 0.7 1.4
43..44 0.005 2567.1 909.9 0.1775 0.0007 0.0039 1.8 3.5
44..18 0.002 2567.1 909.9 0.1775 0.0003 0.0015 0.7 1.4
44..13 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
43..24 0.005 2567.1 909.9 0.1775 0.0008 0.0046 2.1 4.2
36..23 0.005 2567.1 909.9 0.1775 0.0007 0.0038 1.8 3.5
36..45 0.002 2567.1 909.9 0.1775 0.0003 0.0015 0.7 1.4
45..19 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
45..17 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
36..46 0.001 2567.1 909.9 0.1775 0.0001 0.0008 0.3 0.7
46..28 0.003 2567.1 909.9 0.1775 0.0004 0.0023 1.0 2.1
46..4 0.004 2567.1 909.9 0.1775 0.0005 0.0031 1.4 2.8
36..21 0.000 2567.1 909.9 0.1775 0.0000 0.0000 0.0 0.0
35..2 0.017 2567.1 909.9 0.1775 0.0025 0.0143 6.5 13.1
34..47 0.011 2567.1 909.9 0.1775 0.0016 0.0093 4.2 8.5
47..48 0.039 2567.1 909.9 0.1775 0.0059 0.0332 15.1 30.2
48..49 0.056 2567.1 909.9 0.1775 0.0085 0.0479 21.8 43.6
49..6 0.003 2567.1 909.9 0.1775 0.0004 0.0022 1.0 2.0
49..25 0.002 2567.1 909.9 0.1775 0.0003 0.0016 0.7 1.5
48..12 0.050 2567.1 909.9 0.1775 0.0076 0.0427 19.5 38.8
47..5 0.022 2567.1 909.9 0.1775 0.0034 0.0189 8.6 17.2
33..14 0.018 2567.1 909.9 0.1775 0.0026 0.0149 6.8 13.6
32..50 0.007 2567.1 909.9 0.1775 0.0011 0.0061 2.8 5.6
50..30 0.009 2567.1 909.9 0.1775 0.0014 0.0078 3.6 7.1
50..51 0.006 2567.1 909.9 0.1775 0.0009 0.0048 2.2 4.4
51..15 0.009 2567.1 909.9 0.1775 0.0013 0.0075 3.4 6.8
51..27 0.035 2567.1 909.9 0.1775 0.0053 0.0297 13.6 27.1
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.897 2.644
40 R 0.997** 2.926
42 S 0.997** 2.928
93 L 0.789 2.336
99 H 0.909 2.677
106 L 0.998** 2.930
148 H 1.000** 2.936
158 E 0.900 2.650
230 S 0.998** 2.929
233 S 0.990* 2.906
275 E 0.891 2.627
516 V 0.879 2.592
529 F 0.890 2.625
533 K 0.907 2.673
550 V 0.997** 2.926
623 A 1.000** 2.935
641 Q 0.997** 2.927
667 T 0.893 2.632
669 I 0.991** 2.909
906 S 0.916 2.698
1015 I 0.987* 2.899
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.815 2.122 +- 0.840
40 R 0.959* 2.414 +- 0.486
42 S 0.963* 2.422 +- 0.472
93 L 0.708 1.895 +- 0.971
99 H 0.829 2.150 +- 0.817
106 L 0.970* 2.435 +- 0.447
148 H 0.995** 2.479 +- 0.342
158 E 0.818 2.127 +- 0.835
230 S 0.967* 2.430 +- 0.457
233 S 0.919 2.337 +- 0.601
275 E 0.809 2.108 +- 0.850
516 V 0.796 2.080 +- 0.869
529 F 0.808 2.106 +- 0.851
533 K 0.827 2.146 +- 0.820
550 V 0.958* 2.413 +- 0.488
623 A 0.986* 2.464 +- 0.381
641 Q 0.961* 2.419 +- 0.477
667 T 0.811 2.112 +- 0.847
669 I 0.923 2.347 +- 0.590
906 S 0.838 2.168 +- 0.802
1015 I 0.907 2.315 +- 0.629
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.000 0.001 0.009 0.052 0.152 0.305 0.481
ws: 0.058 0.898 0.044 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 3:22:47
Model 1: NearlyNeutral -7319.929029
Model 2: PositiveSelection -7313.200978
Model 7: beta -7321.252785
Model 8: beta&w>1 -7313.234476
Model 2 vs 1 13.456102
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.905 2.665
40 R 0.997** 2.929
42 S 0.998** 2.930
93 L 0.803 2.373
99 H 0.916 2.696
106 L 0.998** 2.932
148 H 1.000** 2.936
158 E 0.907 2.672
230 S 0.998** 2.931
233 S 0.992** 2.913
275 E 0.900 2.650
516 V 0.888 2.617
529 F 0.899 2.647
533 K 0.915 2.693
550 V 0.997** 2.928
623 A 1.000** 2.936
641 Q 0.998** 2.929
667 T 0.901 2.654
669 I 0.993** 2.915
906 S 0.923 2.716
1015 I 0.990* 2.907
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.712 2.244 +- 0.965
40 R 0.886 2.587 +- 0.739
42 S 0.896 2.606 +- 0.723
93 L 0.585 1.977 +- 1.025
99 H 0.729 2.279 +- 0.952
106 L 0.914 2.638 +- 0.693
148 H 0.974* 2.739 +- 0.565
158 E 0.716 2.252 +- 0.963
230 S 0.907 2.625 +- 0.706
233 S 0.796 2.420 +- 0.847
275 E 0.704 2.227 +- 0.971
516 V 0.687 2.193 +- 0.982
529 F 0.702 2.224 +- 0.972
533 K 0.727 2.275 +- 0.954
550 V 0.885 2.585 +- 0.741
623 A 0.943 2.687 +- 0.635
641 Q 0.893 2.601 +- 0.728
667 T 0.706 2.232 +- 0.970
669 I 0.808 2.442 +- 0.836
906 S 0.741 2.303 +- 0.942
1015 I 0.774 2.377 +- 0.866
Model 8 vs 7 16.036618
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.897 2.644
40 R 0.997** 2.926
42 S 0.997** 2.928
93 L 0.789 2.336
99 H 0.909 2.677
106 L 0.998** 2.930
148 H 1.000** 2.936
158 E 0.900 2.650
230 S 0.998** 2.929
233 S 0.990* 2.906
275 E 0.891 2.627
516 V 0.879 2.592
529 F 0.890 2.625
533 K 0.907 2.673
550 V 0.997** 2.926
623 A 1.000** 2.935
641 Q 0.997** 2.927
667 T 0.893 2.632
669 I 0.991** 2.909
906 S 0.916 2.698
1015 I 0.987* 2.899
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C52)
Pr(w>1) post mean +- SE for w
38 P 0.815 2.122 +- 0.840
40 R 0.959* 2.414 +- 0.486
42 S 0.963* 2.422 +- 0.472
93 L 0.708 1.895 +- 0.971
99 H 0.829 2.150 +- 0.817
106 L 0.970* 2.435 +- 0.447
148 H 0.995** 2.479 +- 0.342
158 E 0.818 2.127 +- 0.835
230 S 0.967* 2.430 +- 0.457
233 S 0.919 2.337 +- 0.601
275 E 0.809 2.108 +- 0.850
516 V 0.796 2.080 +- 0.869
529 F 0.808 2.106 +- 0.851
533 K 0.827 2.146 +- 0.820
550 V 0.958* 2.413 +- 0.488
623 A 0.986* 2.464 +- 0.381
641 Q 0.961* 2.419 +- 0.477
667 T 0.811 2.112 +- 0.847
669 I 0.923 2.347 +- 0.590
906 S 0.838 2.168 +- 0.802
1015 I 0.907 2.315 +- 0.629
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken. # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
