2019
DOI: 10.1101/721340
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Distance to trait optimum is a crucial factor determining the genomic signature of polygenic adaptation

Abstract: 1Polygenic adaptation is frequently associated with small allele frequency changes of many loci. 2 Recent works suggest, that large allele frequency changes can be also expected. Laboratory 3 natural selection (LNS) experiments provide an excellent experimental framework to study the 4 adaptive architecture under controlled laboratory conditions: time series data in replicate 5 populations evolving independently to the same trait optimum can be used to identify selected 6 loci. Nevertheless, the choice of the … Show more

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Cited by 5 publications
(9 citation statements)
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“…For instance, some studies assume that large effect alleles segregate at high frequencies before the shift in optimum (e.g. Christodoulaki et al, 2019 ), which is presumably uncommon in natural populations and in any case, violates our assumption that the population is at mutation-selection-drift equilibrium before the shift. Other models implicitly consider quantitative traits of intermediate genetic complexity; while such traits likely exist, there are to our knowledge few well-established examples.…”
Section: Discussionmentioning
confidence: 84%
“…For instance, some studies assume that large effect alleles segregate at high frequencies before the shift in optimum (e.g. Christodoulaki et al, 2019 ), which is presumably uncommon in natural populations and in any case, violates our assumption that the population is at mutation-selection-drift equilibrium before the shift. Other models implicitly consider quantitative traits of intermediate genetic complexity; while such traits likely exist, there are to our knowledge few well-established examples.…”
Section: Discussionmentioning
confidence: 84%
“…These discrepancies are largely explained by earlier papers considering settings that violate our assumptions, notably about evolutionary parameter ranges. For instance, some studies assume that large effect alleles segregate at high frequencies before the shift in optimum (e.g., (65)), which is presumably uncommon in natural populations and in any case, violates our assumption that the trait is at steady state before the shift. Other models implicitly consider quantitative traits of intermediate genetic complexity; while such traits likely exist, there are to our knowledge few well-established examples.…”
Section: Discussionmentioning
confidence: 87%
“…While this topic has been explored across a number of theoretical studies (e.g. Kessner and Novembre 2015; Stetter et al 2018; Christodoulaki et al 2019; Vlachos and Kofler 2019; Hayward and Sella 2021), few E&R studies have sought to address it empirically. Here we aim to address this gap by directly testing the effects of selection intensity on the genetic architecture of adaptation using populations of outcrossing S. cerevisiae .…”
Section: Introductionmentioning
confidence: 99%
“…Christodoulaki et al (2019) explored the idea that selection intensity influences signatures of selection using simulations designed to mimic laboratory experimental evolution. They find that when a new trait optimum is distant (i.e.…”
Section: Introductionmentioning
confidence: 99%