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Significance New mutations tend to arise randomly throughout the genome, but their phenotypic effects are often not random. This disconnect results from interactions among genes that define the genotype–phenotype map. The structure of this map is poorly known and different for each trait, making it challenging to predict the distribution of mutational effects for specific phenotypes. Empirical measures of the distribution of mutational effects are thus necessary to understand how traits can change in the absence of natural selection. In this work, we define such distributions for expression of 10 genes inSaccharomyces cerevisiae and show that they predict greater neutral expression divergence than commonly used models of phenotypic evolution.

Empirical measures of mutational effects define neutral models of regulatory evolution in Saccharomyces cerevisiae