How does the strength of selection influence genetic correlations?. Issue 6 (1st December 2020)

• Record Type: Journal Article
• Authors: Chantepie, Stéphane; Chevin, Luis-Miguel
• Is Part Of: Evolution letters. Volume 4:Issue 6(2020)
• Page Start: 468
• Page End: 478
• Publication Date: 2020-12-01
• Subjects: G matrix -- genetic drift -- genetic correlation -- stabilizing selection -- selection-mutation-drift equilibrium; Evolution (Biology) -- Periodicals; Evolution (Biology); Biological Evolution; Electronic journals; Fulltext; Internet Resources; Periodicals; Periodicals; Periodical; 576.8
• DOI: 10.1002/evl3.201
• Languages: English
• ISSNs: 2056-3744

Abstract

Abstract: Genetic correlations between traits can strongly impact evolutionary responses to selection, and may thus impose constraints on adaptation. Theoretical and empirical work has made it clear that without strong linkage and with random mating, genetic correlations at evolutionary equilibrium result from an interplay of correlated pleiotropic effects of mutations, and correlational selection favoring combinations of trait values. However, it is not entirely clear how change in the overall strength of stabilizing selection across traits (breadth of the fitness peak, given its shape) influences this compromise between mutation and selection effects on genetic correlation. Here, we show that the answer to this question crucially depends on the intensity of genetic drift. In large, effectively infinite populations, genetic correlations are unaffected by the strength of selection, regardless of whether the genetic architecture involves common small-effect mutations (Gaussian regime), or rare large-effect mutations (House-of-Cards regime). In contrast in finite populations, the strength of selection does affect genetic correlations, by shifting the balance from drift-dominated to selection-dominated evolutionary dynamics. The transition between these domains depends on mutation parameters to some extent, but with a similar dependence of genetic correlation on the strength of selection. Our results are particularly relevant for understanding how senescence shapes patterns of genetic correlations across ages, and genetic constraints on adaptation during colonization of novel habitats.