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The probability of genetic parallelism and convergence in natural populations

Genomic and genetic methods allow investigation of how frequently the same genes are used by different populations during adaptive evolution, yielding insights into the predictability of evolution at the genetic level. We estimated the probability of gene reuse in parallel and convergent phenotypic...

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Detalles Bibliográficos
Autores principales: Conte, Gina L., Arnegard, Matthew E., Peichel, Catherine L., Schluter, Dolph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3497250/
https://www.ncbi.nlm.nih.gov/pubmed/23075840
http://dx.doi.org/10.1098/rspb.2012.2146
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author Conte, Gina L.
Arnegard, Matthew E.
Peichel, Catherine L.
Schluter, Dolph
author_facet Conte, Gina L.
Arnegard, Matthew E.
Peichel, Catherine L.
Schluter, Dolph
author_sort Conte, Gina L.
collection PubMed
description Genomic and genetic methods allow investigation of how frequently the same genes are used by different populations during adaptive evolution, yielding insights into the predictability of evolution at the genetic level. We estimated the probability of gene reuse in parallel and convergent phenotypic evolution in nature using data from published studies. The estimates are surprisingly high, with mean probabilities of 0.32 for genetic mapping studies and 0.55 for candidate gene studies. The probability declines with increasing age of the common ancestor of compared taxa, from about 0.8 for young nodes to 0.1–0.4 for the oldest nodes in our study. Probability of gene reuse is higher when populations begin from the same ancestor (genetic parallelism) than when they begin from divergent ancestors (genetic convergence). Our estimates are broadly consistent with genomic estimates of gene reuse during repeated adaptation to similar environments, but most genomic studies lack data on phenotypic traits affected. Frequent reuse of the same genes during repeated phenotypic evolution suggests that strong biases and constraints affect adaptive evolution, resulting in changes at a relatively small subset of available genes. Declines in the probability of gene reuse with increasing age suggest that these biases diverge with time.
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spelling pubmed-34972502012-11-26 The probability of genetic parallelism and convergence in natural populations Conte, Gina L. Arnegard, Matthew E. Peichel, Catherine L. Schluter, Dolph Proc Biol Sci Special Feature Genomic and genetic methods allow investigation of how frequently the same genes are used by different populations during adaptive evolution, yielding insights into the predictability of evolution at the genetic level. We estimated the probability of gene reuse in parallel and convergent phenotypic evolution in nature using data from published studies. The estimates are surprisingly high, with mean probabilities of 0.32 for genetic mapping studies and 0.55 for candidate gene studies. The probability declines with increasing age of the common ancestor of compared taxa, from about 0.8 for young nodes to 0.1–0.4 for the oldest nodes in our study. Probability of gene reuse is higher when populations begin from the same ancestor (genetic parallelism) than when they begin from divergent ancestors (genetic convergence). Our estimates are broadly consistent with genomic estimates of gene reuse during repeated adaptation to similar environments, but most genomic studies lack data on phenotypic traits affected. Frequent reuse of the same genes during repeated phenotypic evolution suggests that strong biases and constraints affect adaptive evolution, resulting in changes at a relatively small subset of available genes. Declines in the probability of gene reuse with increasing age suggest that these biases diverge with time. The Royal Society 2012-12-22 2012-10-17 /pmc/articles/PMC3497250/ /pubmed/23075840 http://dx.doi.org/10.1098/rspb.2012.2146 Text en This Journal is © 2012 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Feature
Conte, Gina L.
Arnegard, Matthew E.
Peichel, Catherine L.
Schluter, Dolph
The probability of genetic parallelism and convergence in natural populations
title The probability of genetic parallelism and convergence in natural populations
title_full The probability of genetic parallelism and convergence in natural populations
title_fullStr The probability of genetic parallelism and convergence in natural populations
title_full_unstemmed The probability of genetic parallelism and convergence in natural populations
title_short The probability of genetic parallelism and convergence in natural populations
title_sort probability of genetic parallelism and convergence in natural populations
topic Special Feature
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3497250/
https://www.ncbi.nlm.nih.gov/pubmed/23075840
http://dx.doi.org/10.1098/rspb.2012.2146
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