Abstract
Adaptive evolution ultimately is fuelled by mutations generating novel genetic variation. Non-additivity of fitness effects of mutations (called epistasis) may affect the dynamics and repeatability of adaptation. However, understanding the importance and implications of epistasis is hampered by the observation of substantial variation in patterns of epistasis across empirical studies. Interestingly, some recent studies report increasingly smaller benefits of beneficial mutations once genotypes become better adapted (called diminishing-returns epistasis) in unicellular microbes and single genes. Here, we use Fisher's geometric model (FGM) to generate analytical predictions about the relationship between the effect size of mutations and the extent of epistasis. We then test these predictions using the multicellular fungus Aspergillus nidulans by generating a collection of 108 strains in either a poor or a rich nutrient environment that each carry a beneficial mutation and constructing pairwise combinations using sexual crosses. Our results support the predictions from FGM and indicate negative epistasis among beneficial mutations in both environments, which scale with mutational effect size. Hence, our findings show the importance of diminishing-returns epistasis among beneficial mutations also for a multicellular organism, and suggest that this pattern reflects a generic constraint operating at diverse levels of biological organization.
Highlights
Adaptive evolution relies on natural selection sorting genetic variation
Beneficial mutations are the only source of genetic variation
As illustrated in figure 1b for the case of two phenotypic dimensions (n 1⁄4 2), the beneficial mutations are represented by two vectors pointing from the wild-type phenotype to a circle comprising all phenotypes at a certain distance from the fitness optimum—the fitness optimum being the middle of the circle
Summary
Adaptive evolution relies on natural selection sorting genetic variation. In clonal populations, beneficial mutations are the only source of genetic variation. We combine predictions from Fisher’s geometric model (FGM) [21], a heuristic phenotype-fitness model with proven utility for describing fitness effects of mutations and their epistatic interactions [16,22,23,24,25], with large-scale experimental measurements of epistasis among beneficial mutations.
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More From: Proceedings of the Royal Society B: Biological Sciences
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