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• W4295423244 endingPage "e3001775" @default.
• W4295423244 startingPage "e3001775" @default.
• W4295423244 abstract "Understanding the dynamics of species adaptation to their environments has long been a central focus of the study of evolution. Theories of adaptation propose that populations evolve by walking in a fitness landscape. This adaptive walk is characterised by a pattern of diminishing returns, where populations further away from their fitness optimum take larger steps than those closer to their optimal conditions. Hence, we expect young genes to evolve faster and experience mutations with stronger fitness effects than older genes because they are further away from their fitness optimum. Testing this hypothesis, however, constitutes an arduous task. Young genes are small, encode proteins with a higher degree of intrinsic disorder, are expressed at lower levels, and are involved in species-specific adaptations. Since all these factors lead to increased protein evolutionary rates, they could be masking the effect of gene age. While controlling for these factors, we used population genomic data sets of Arabidopsis and Drosophila and estimated the rate of adaptive substitutions across genes from different phylostrata. We found that a gene's evolutionary age significantly impacts the molecular rate of adaptation. Moreover, we observed that substitutions in young genes tend to have larger physicochemical effects. Our study, therefore, provides strong evidence that molecular evolution follows an adaptive walk model across a large evolutionary timescale." @default.
• W4295423244 created "2022-09-14" @default.
• W4295423244 creator A5022559166 @default.
• W4295423244 creator A5077170537 @default.
• W4295423244 creator A5078780397 @default.
• W4295423244 date "2022-09-13" @default.
• W4295423244 modified "2023-10-17" @default.
• W4295423244 title "Strong evidence for the adaptive walk model of gene evolution in Drosophila and Arabidopsis" @default.
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