Extended Data Fig. 2: Negative correlation between mutational effect and background phenotype in GFP and RNA stability landscapes.
From: Idiosyncratic epistasis creates universals in mutational effects and evolutionary trajectories
a, Distribution of Pearson’s correlation coefficient (r) between mutational effect and background phenotype for individual mutations in the GFP landscape. b, Distribution of r for individual mutations in the RNA stability landscape. c, Relationship between background phenotype and mutational effect for all mutations in the GFP landscape. d, Relationship between background phenotype and mutational effect for all mutations in the RNA stability landscape. MFE, minimum free energy. The red line depicts the running mean in non-overlapping X-axis bins of width = 0.02 and 2 in (c, d), respectively, in all bins with more than 10 data points. There is no measurement error in the RNA stability landscape. Shared measurement error between mutational effect and background fitness cannot be controlled for in GFP as replicate fitness measurements are not available. For each mutation and its reverse, we considered a random one of them in (c, d).
