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A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size

The nearly neutral theory is a common framework to describe natural selection at the molecular level. This theory emphasizes the importance of slightly deleterious mutations by recognizing their ability to segregate and eventually get fixed due to genetic drift in spite of the presence of purifying...

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Autores principales: Müller, Rebekka, Kaj, Ingemar, Mugal, Carina F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127441/
https://www.ncbi.nlm.nih.gov/pubmed/35478252
http://dx.doi.org/10.1093/gbe/evac058
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author Müller, Rebekka
Kaj, Ingemar
Mugal, Carina F.
author_facet Müller, Rebekka
Kaj, Ingemar
Mugal, Carina F.
author_sort Müller, Rebekka
collection PubMed
description The nearly neutral theory is a common framework to describe natural selection at the molecular level. This theory emphasizes the importance of slightly deleterious mutations by recognizing their ability to segregate and eventually get fixed due to genetic drift in spite of the presence of purifying selection. As genetic drift is stronger in smaller than in larger populations, a correlation between population size and molecular measures of natural selection is expected within the nearly neutral theory. However, this hypothesis was originally formulated under equilibrium conditions. As most natural populations are not in equilibrium, testing the relationship empirically may lead to confounded outcomes. Demographic nonequilibria, for instance following a change in population size, are common scenarios that are expected to push the selection–drift relationship off equilibrium. By explicitly modeling the effects of a change in population size on allele frequency trajectories in the Poisson random field framework, we obtain analytical solutions of the nonstationary allele frequency spectrum. This enables us to derive exact results of measures of natural selection and effective population size in a demographic nonequilibrium. The study of their time-dependent relationship reveals a substantial deviation from the equilibrium selection–drift balance after a change in population size. Moreover, we show that the deviation is sensitive to the combination of different measures. These results therefore constitute relevant tools for empirical studies to choose suitable measures for investigating the selection–drift relationship in natural populations. Additionally, our new modeling approach extends existing population genetics theory and can serve as foundation for methodological developments.
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spelling pubmed-91274412022-05-24 A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size Müller, Rebekka Kaj, Ingemar Mugal, Carina F. Genome Biol Evol Research Article The nearly neutral theory is a common framework to describe natural selection at the molecular level. This theory emphasizes the importance of slightly deleterious mutations by recognizing their ability to segregate and eventually get fixed due to genetic drift in spite of the presence of purifying selection. As genetic drift is stronger in smaller than in larger populations, a correlation between population size and molecular measures of natural selection is expected within the nearly neutral theory. However, this hypothesis was originally formulated under equilibrium conditions. As most natural populations are not in equilibrium, testing the relationship empirically may lead to confounded outcomes. Demographic nonequilibria, for instance following a change in population size, are common scenarios that are expected to push the selection–drift relationship off equilibrium. By explicitly modeling the effects of a change in population size on allele frequency trajectories in the Poisson random field framework, we obtain analytical solutions of the nonstationary allele frequency spectrum. This enables us to derive exact results of measures of natural selection and effective population size in a demographic nonequilibrium. The study of their time-dependent relationship reveals a substantial deviation from the equilibrium selection–drift balance after a change in population size. Moreover, we show that the deviation is sensitive to the combination of different measures. These results therefore constitute relevant tools for empirical studies to choose suitable measures for investigating the selection–drift relationship in natural populations. Additionally, our new modeling approach extends existing population genetics theory and can serve as foundation for methodological developments. Oxford University Press 2022-04-27 /pmc/articles/PMC9127441/ /pubmed/35478252 http://dx.doi.org/10.1093/gbe/evac058 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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
Müller, Rebekka
Kaj, Ingemar
Mugal, Carina F.
A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
title A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
title_full A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
title_fullStr A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
title_full_unstemmed A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
title_short A Nearly Neutral Model of Molecular Signatures of Natural Selection after Change in Population Size
title_sort nearly neutral model of molecular signatures of natural selection after change in population size
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127441/
https://www.ncbi.nlm.nih.gov/pubmed/35478252
http://dx.doi.org/10.1093/gbe/evac058
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