2014
Fisher's Geometric Model With a Moving Optimum
Abstract: Fisher's geometric model has been widely used to study the effects of pleiotropy and organismic complexity on phenotypic adaptation. Here, we study a version of Fisher's model in which a population adapts to a gradually moving optimum. Key parameters are the rate of environmental change, the dimensionality of phenotype space, and the patterns of mutational and selectional correlations. We focus on the distribution of adaptive substitutions, that is, the multivariate distribution of the phenotypic effects of fi…
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Cited by 104 publications
(128 citation statements)
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“…Lastly, mutations in a variety of genes can evidently produce high benefit in this selective regime, but this number is decreased in adapted genotypes (Table 1; Figure S2; Figure S3). These findings broadly agree with Fisher's geometric model of adaptation, which assumes that pleiotropy is universal and hence large-effect mutations would be more pleiotropic than small-effect mutations (Blanquart et al 2014;Matuszewski et al 2014).…”
Section: Discussionsupporting
confidence: 86%
“…Lastly, mutations in a variety of genes can evidently produce high benefit in this selective regime, but this number is decreased in adapted genotypes (Table 1; Figure S2; Figure S3). These findings broadly agree with Fisher's geometric model of adaptation, which assumes that pleiotropy is universal and hence large-effect mutations would be more pleiotropic than small-effect mutations (Blanquart et al 2014;Matuszewski et al 2014).…”
Section: Discussionsupporting
confidence: 86%
“…On average, the magnitude of pleiotropic effects scaled with the magnitude of the fitness increase in the selected environment, and hence mutations affecting the less adapted ancestor were more pleiotropic, and mutations affecting the more adapted ancestor were less pleiotropic. These overall patterns tend to support Fisher's geometric model of adaptation, in which pleiotropy is universal (Orr 2006;Blanquart et al 2014;Matuszewski et al 2014). However, the form of pleiotropy was generally positive, which disagrees with many tradeoff models predicated by the geometric model (Orr 2000;Otto 2004;Lourenco et al 2011).…”
Section: Discussionsupporting
confidence: 63%
“…Obviously, the lag in all other directions is zero before the first jump. Immediately after the first jump, the lag in any direction has mean 0 and variance Matuszewski et al, 2014). These results explain several patterns seen in the environmentally-limited regime.…”
Section: Appendix D: the Environmentally-limited Regimesupporting
confidence: 60%
“…The range of allelic effects α that can reach a positive selection coefficient is bounded by α min = 0 and α max = 2δ eq . Note that in previous adaptive-walk models (e.q., Kopp and Hermisson (2009b); Matuszewski et al 2014) there was no strict α max , since the population followed the optimum by stochastic jumps, whereas in the present model, the genetic background evolves deterministically and establishes a constant equilibrium lag.…”
Section: Resultsmentioning
confidence: 60%
