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From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?

Since its inception in 1973, the slightly deleterious model of molecular evolution, also known as the nearly neutral theory of molecular evolution, remains a central model to explain the main patterns of DNA polymorphism in natural populations. This is not to say that the quantitative fit to data ar...

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Autores principales: Chen, Jun, Glémin, Sylvain, Lascoux, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153929/
https://www.ncbi.nlm.nih.gov/pubmed/32015019
http://dx.doi.org/10.1534/genetics.119.302869
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author Chen, Jun
Glémin, Sylvain
Lascoux, Martin
author_facet Chen, Jun
Glémin, Sylvain
Lascoux, Martin
author_sort Chen, Jun
collection PubMed
description Since its inception in 1973, the slightly deleterious model of molecular evolution, also known as the nearly neutral theory of molecular evolution, remains a central model to explain the main patterns of DNA polymorphism in natural populations. This is not to say that the quantitative fit to data are perfect. A recent study used polymorphism data from Drosophila melanogaster to test whether, as predicted by the nearly neutral theory, the proportion of effectively neutral mutations depends on the effective population size (N(e)). It showed that a nearly neutral model simply scaling with N(e) variation across the genome could not alone explain the data, but that consideration of linked positive selection improves the fit between observations and predictions. In the present article, we extended the work in two main directions. First, we confirmed the observed pattern on a set of 59 species, including high-quality genomic data from 11 animal and plant species with different mating systems and effective population sizes, hence a priori different levels of linked selection. Second, for the 11 species with high-quality genomic data we also estimated the full distribution of fitness effects (DFE) of mutations, and not solely the DFE of deleterious mutations. Both N(e) and beneficial mutations contributed to the relationship between the proportion of effectively neutral mutations and local N(e) across the genome. In conclusion, the predictions of the slightly deleterious model of molecular evolution hold well for species with small N(e), but for species with large N(e), the fit is improved by incorporating linked positive selection to the model.
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spelling pubmed-71539292020-04-19 From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution? Chen, Jun Glémin, Sylvain Lascoux, Martin Genetics Investigations Since its inception in 1973, the slightly deleterious model of molecular evolution, also known as the nearly neutral theory of molecular evolution, remains a central model to explain the main patterns of DNA polymorphism in natural populations. This is not to say that the quantitative fit to data are perfect. A recent study used polymorphism data from Drosophila melanogaster to test whether, as predicted by the nearly neutral theory, the proportion of effectively neutral mutations depends on the effective population size (N(e)). It showed that a nearly neutral model simply scaling with N(e) variation across the genome could not alone explain the data, but that consideration of linked positive selection improves the fit between observations and predictions. In the present article, we extended the work in two main directions. First, we confirmed the observed pattern on a set of 59 species, including high-quality genomic data from 11 animal and plant species with different mating systems and effective population sizes, hence a priori different levels of linked selection. Second, for the 11 species with high-quality genomic data we also estimated the full distribution of fitness effects (DFE) of mutations, and not solely the DFE of deleterious mutations. Both N(e) and beneficial mutations contributed to the relationship between the proportion of effectively neutral mutations and local N(e) across the genome. In conclusion, the predictions of the slightly deleterious model of molecular evolution hold well for species with small N(e), but for species with large N(e), the fit is improved by incorporating linked positive selection to the model. Genetics Society of America 2020-04 2020-02-03 /pmc/articles/PMC7153929/ /pubmed/32015019 http://dx.doi.org/10.1534/genetics.119.302869 Text en Copyright © 2020 by the Genetics Society of America Available freely online through the author-supported open access option.
spellingShingle Investigations
Chen, Jun
Glémin, Sylvain
Lascoux, Martin
From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?
title From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?
title_full From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?
title_fullStr From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?
title_full_unstemmed From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?
title_short From Drift to Draft: How Much Do Beneficial Mutations Actually Contribute to Predictions of Ohta’s Slightly Deleterious Model of Molecular Evolution?
title_sort from drift to draft: how much do beneficial mutations actually contribute to predictions of ohta’s slightly deleterious model of molecular evolution?
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153929/
https://www.ncbi.nlm.nih.gov/pubmed/32015019
http://dx.doi.org/10.1534/genetics.119.302869
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