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Polygenic adaptation after a sudden change in environment

Polygenic adaptation is thought to be ubiquitous, yet remains poorly understood. Here, we model this process analytically, in the plausible setting of a highly polygenic, quantitative trait that experiences a sudden shift in the fitness optimum. We show how the mean phenotype changes over time, depe...

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Autores principales: Hayward, Laura Katharine, Sella, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683794/
https://www.ncbi.nlm.nih.gov/pubmed/36155653
http://dx.doi.org/10.7554/eLife.66697
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author Hayward, Laura Katharine
Sella, Guy
author_facet Hayward, Laura Katharine
Sella, Guy
author_sort Hayward, Laura Katharine
collection PubMed
description Polygenic adaptation is thought to be ubiquitous, yet remains poorly understood. Here, we model this process analytically, in the plausible setting of a highly polygenic, quantitative trait that experiences a sudden shift in the fitness optimum. We show how the mean phenotype changes over time, depending on the effect sizes of loci that contribute to variance in the trait, and characterize the allele dynamics at these loci. Notably, we describe the two phases of the allele dynamics: The first is a rapid phase, in which directional selection introduces small frequency differences between alleles whose effects are aligned with or opposed to the shift, ultimately leading to small differences in their probability of fixation during a second, longer phase, governed by stabilizing selection. As we discuss, key results should hold in more general settings and have important implications for efforts to identify the genetic basis of adaptation in humans and other species.
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spelling pubmed-96837942022-11-24 Polygenic adaptation after a sudden change in environment Hayward, Laura Katharine Sella, Guy eLife Evolutionary Biology Polygenic adaptation is thought to be ubiquitous, yet remains poorly understood. Here, we model this process analytically, in the plausible setting of a highly polygenic, quantitative trait that experiences a sudden shift in the fitness optimum. We show how the mean phenotype changes over time, depending on the effect sizes of loci that contribute to variance in the trait, and characterize the allele dynamics at these loci. Notably, we describe the two phases of the allele dynamics: The first is a rapid phase, in which directional selection introduces small frequency differences between alleles whose effects are aligned with or opposed to the shift, ultimately leading to small differences in their probability of fixation during a second, longer phase, governed by stabilizing selection. As we discuss, key results should hold in more general settings and have important implications for efforts to identify the genetic basis of adaptation in humans and other species. eLife Sciences Publications, Ltd 2022-09-26 /pmc/articles/PMC9683794/ /pubmed/36155653 http://dx.doi.org/10.7554/eLife.66697 Text en © 2022, Hayward and Sella https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Evolutionary Biology
Hayward, Laura Katharine
Sella, Guy
Polygenic adaptation after a sudden change in environment
title Polygenic adaptation after a sudden change in environment
title_full Polygenic adaptation after a sudden change in environment
title_fullStr Polygenic adaptation after a sudden change in environment
title_full_unstemmed Polygenic adaptation after a sudden change in environment
title_short Polygenic adaptation after a sudden change in environment
title_sort polygenic adaptation after a sudden change in environment
topic Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683794/
https://www.ncbi.nlm.nih.gov/pubmed/36155653
http://dx.doi.org/10.7554/eLife.66697
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