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. 2022 Jul 1;8(26):eabo4400. doi: 10.1126/sciadv.abo4400

Table 1. Results of PPA for the sets AE21 and AH21.

For each set, the results from nonrecoded and Dayhoff-6, Dayhoff-9, and Dayhoff-15 matrices are shown for comparison. The best fitting parameter in each group is highlighted in bold. In all cases CAT + GTR + G model was used. None of the recoding schemes has the absolute advantage in all five parameters.

Matrix/recoding scheme Model Site-specific amino
acid preferences
Across-taxa
compositional
heterogeneity
Empirical
convergence
probability
Across-site
compositional
heterogeneity
Mean squared
heterogeneity
across taxa
PPA-DIV PPA-MAX PPA-CONV PPA-VAR PPA-MEAN
Set AE21:
None CAT + GTR 6.50338 138.335 8.1909 8.8697 313.752
Dayhoff-6 CAT + GTR −1.7959 82.4557 10.9337 11.0215 106.943
Dayhoff-9 CAT + GTR −0.6288 45.4654 11.6434 12.1904 101.149
Dayhoff-15 CAT + GTR 4.3768 98.1346 14.1153 13.8091 226.055
Set AH21:
None CAT + GTR 4.9079 39.0857 2.83906 2.78946 48.7904
Dayhoff-6 CAT + GTR 0.1449 18.7388 5.4639 5.8251 19.8551
Dayhoff-9 CAT + GTR 0.8086 18.5237 6.0536 6.0197 20.1687
Dayhoff-15 CAT + GTR 3.3539 33.3942 5.7612 4.9709 34.7670