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A Theoretical Lower Bound for Selection on the Expression Levels of Proteins

We use simple models of the costs and benefits of microbial gene expression to show that changing a protein’s expression away from its optimum by 2-fold should reduce fitness by at least [Formula: see text] , where P is the fraction the cell’s protein that the gene accounts for. As microbial genes a...

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Autores principales: Price, Morgan N., Arkin, Adam P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943197/
https://www.ncbi.nlm.nih.gov/pubmed/27289091
http://dx.doi.org/10.1093/gbe/evw126
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author Price, Morgan N.
Arkin, Adam P.
author_facet Price, Morgan N.
Arkin, Adam P.
author_sort Price, Morgan N.
collection PubMed
description We use simple models of the costs and benefits of microbial gene expression to show that changing a protein’s expression away from its optimum by 2-fold should reduce fitness by at least [Formula: see text] , where P is the fraction the cell’s protein that the gene accounts for. As microbial genes are usually expressed at above 5 parts per million, and effective population sizes are likely to be above 10(6), this implies that 2-fold changes to gene expression levels are under strong selection, as [Formula: see text] , where N(e) is the effective population size and s is the selection coefficient. Thus, most gene duplications should be selected against. On the other hand, we predict that for most genes, small changes in the expression will be effectively neutral.
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spelling pubmed-49431972016-07-14 A Theoretical Lower Bound for Selection on the Expression Levels of Proteins Price, Morgan N. Arkin, Adam P. Genome Biol Evol Research Article We use simple models of the costs and benefits of microbial gene expression to show that changing a protein’s expression away from its optimum by 2-fold should reduce fitness by at least [Formula: see text] , where P is the fraction the cell’s protein that the gene accounts for. As microbial genes are usually expressed at above 5 parts per million, and effective population sizes are likely to be above 10(6), this implies that 2-fold changes to gene expression levels are under strong selection, as [Formula: see text] , where N(e) is the effective population size and s is the selection coefficient. Thus, most gene duplications should be selected against. On the other hand, we predict that for most genes, small changes in the expression will be effectively neutral. Oxford University Press 2016-06-11 /pmc/articles/PMC4943197/ /pubmed/27289091 http://dx.doi.org/10.1093/gbe/evw126 Text en © The Author(s) 2016. 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
Price, Morgan N.
Arkin, Adam P.
A Theoretical Lower Bound for Selection on the Expression Levels of Proteins
title A Theoretical Lower Bound for Selection on the Expression Levels of Proteins
title_full A Theoretical Lower Bound for Selection on the Expression Levels of Proteins
title_fullStr A Theoretical Lower Bound for Selection on the Expression Levels of Proteins
title_full_unstemmed A Theoretical Lower Bound for Selection on the Expression Levels of Proteins
title_short A Theoretical Lower Bound for Selection on the Expression Levels of Proteins
title_sort theoretical lower bound for selection on the expression levels of proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943197/
https://www.ncbi.nlm.nih.gov/pubmed/27289091
http://dx.doi.org/10.1093/gbe/evw126
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