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Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species

Population genetic theory predicts that selection should be more effective when the effective population size (N(e)) is larger, and that the efficacy of selection should correlate positively with recombination rate. Here, we analyzed the genomes of ten great tits and ten zebra finches. Nucleotide di...

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Autores principales: Corcoran, Pádraic, Gossmann, Toni I, Barton, Henry J, Slate, Jon, Zeng, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714183/
https://www.ncbi.nlm.nih.gov/pubmed/29045655
http://dx.doi.org/10.1093/gbe/evx213
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author Corcoran, Pádraic
Gossmann, Toni I
Barton, Henry J
Slate, Jon
Zeng, Kai
author_facet Corcoran, Pádraic
Gossmann, Toni I
Barton, Henry J
Slate, Jon
Zeng, Kai
author_sort Corcoran, Pádraic
collection PubMed
description Population genetic theory predicts that selection should be more effective when the effective population size (N(e)) is larger, and that the efficacy of selection should correlate positively with recombination rate. Here, we analyzed the genomes of ten great tits and ten zebra finches. Nucleotide diversity at 4-fold degenerate sites indicates that zebra finches have a 2.83-fold larger N(e). We obtained clear evidence that purifying selection is more effective in zebra finches. The proportion of substitutions at 0-fold degenerate sites fixed by positive selection (α) is high in both species (great tit 48%; zebra finch 64%) and is significantly higher in zebra finches. When α was estimated on GC-conservative changes (i.e., between A and T and between G and C), the estimates reduced in both species (great tit 22%; zebra finch 53%). A theoretical model presented herein suggests that failing to control for the effects of GC-biased gene conversion (gBGC) is potentially a contributor to the overestimation of α, and that this effect cannot be alleviated by first fitting a demographic model to neutral variants. We present the first estimates in birds for α in the untranslated regions, and found evidence for substantial adaptive changes. Finally, although purifying selection is stronger in high-recombination regions, we obtained mixed evidence for α increasing with recombination rate, especially after accounting for gBGC. These results highlight that it is important to consider the potential confounding effects of gBGC when quantifying selection and that our understanding of what determines the efficacy of selection is incomplete.
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spelling pubmed-57141832017-12-08 Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species Corcoran, Pádraic Gossmann, Toni I Barton, Henry J Slate, Jon Zeng, Kai Genome Biol Evol Research Article Population genetic theory predicts that selection should be more effective when the effective population size (N(e)) is larger, and that the efficacy of selection should correlate positively with recombination rate. Here, we analyzed the genomes of ten great tits and ten zebra finches. Nucleotide diversity at 4-fold degenerate sites indicates that zebra finches have a 2.83-fold larger N(e). We obtained clear evidence that purifying selection is more effective in zebra finches. The proportion of substitutions at 0-fold degenerate sites fixed by positive selection (α) is high in both species (great tit 48%; zebra finch 64%) and is significantly higher in zebra finches. When α was estimated on GC-conservative changes (i.e., between A and T and between G and C), the estimates reduced in both species (great tit 22%; zebra finch 53%). A theoretical model presented herein suggests that failing to control for the effects of GC-biased gene conversion (gBGC) is potentially a contributor to the overestimation of α, and that this effect cannot be alleviated by first fitting a demographic model to neutral variants. We present the first estimates in birds for α in the untranslated regions, and found evidence for substantial adaptive changes. Finally, although purifying selection is stronger in high-recombination regions, we obtained mixed evidence for α increasing with recombination rate, especially after accounting for gBGC. These results highlight that it is important to consider the potential confounding effects of gBGC when quantifying selection and that our understanding of what determines the efficacy of selection is incomplete. Oxford University Press 2017-10-17 /pmc/articles/PMC5714183/ /pubmed/29045655 http://dx.doi.org/10.1093/gbe/evx213 Text en © The Author 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Corcoran, Pádraic
Gossmann, Toni I
Barton, Henry J
Slate, Jon
Zeng, Kai
Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species
title Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species
title_full Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species
title_fullStr Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species
title_full_unstemmed Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species
title_short Determinants of the Efficacy of Natural Selection on Coding and Noncoding Variability in Two Passerine Species
title_sort determinants of the efficacy of natural selection on coding and noncoding variability in two passerine species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714183/
https://www.ncbi.nlm.nih.gov/pubmed/29045655
http://dx.doi.org/10.1093/gbe/evx213
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