Article ID Journal Published Year Pages File Type
4495967 Journal of Theoretical Biology 2015 17 Pages PDF
Abstract

•We explore how epistasis affects heritable multivariate trait variation and evolvability.•Epistatic genetic effects map differently genealogically than additive genetic effects.•Which leads to less relative covariance in genotypic and breeding values between individuals.•Which allows for greater heritable multivariate variation and evolvability.

Epistatic gene action occurs when mutations or alleles interact to produce a phenotype. Theoretically and empirically it is of interest to know whether gene interactions can facilitate the evolution of diversity. In this paper, we explore how epistatic gene action affects the additive genetic component or heritable component of multivariate trait variation, as well as how epistatic gene action affects the evolvability of multivariate traits. The analysis involves a sexually reproducing and recombining population. Our results indicate that under stabilizing selection conditions a population with a mixed additive and epistatic genetic architecture can have greater multivariate additive genetic variation and evolvability than a population with a purely additive genetic architecture. That greater multivariate additive genetic variation can occur with epistasis is in contrast to previous theory that indicated univariate additive genetic variation is decreased with epistasis under stabilizing selection conditions. In a multivariate setting, epistasis leads to less relative covariance among individuals in their genotypic, as well as their breeding values, which facilitates the maintenance of additive genetic variation and increases a population׳s evolvability. Our analysis involves linking the combinatorial nature of epistatic genetic effects to the ancestral graph structure of a population to provide insight into the consequences of epistasis on multivariate trait variation and evolution.

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Life Sciences Agricultural and Biological Sciences Agricultural and Biological Sciences (General)
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