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. 2022 Feb 10;119(7):e2119720119. doi: 10.1073/pnas.2119720119

Fig. 3.

Fig. 3.

Empirical mutation rates explain the spectrum of adaptive substitutions better than randomized rates. In A–C, the white bars show the distribution of log-likelihood differences for randomized vs. empirical mutation rates for (A) S. cerevisiae, (B) E. coli, and (C) M. tuberculosis. A value of 0 (dashed vertical line) means that a randomized rate performs as well as the empirical mutation rate. The fraction of randomized rates providing a better model fit than the empirical rates (i.e., right of 0) is 0.2%, 3.7%, and 4.2% for A, B and C, respectively. Data are based on 106 randomized rates. Note that A–C have different limits on their horizontal axes. In D–F, the empirical mutation rate is shown in relation to the inferred mutation rate on a double-logarithmic scale for (D) S. cerevisiae, (E) E. coli, and (F) M. tuberculosis. Symbol types correspond to D, Inset. The dashed diagonal line indicates y = x.