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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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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. |
format | Online Article Text |
id | pubmed-4943197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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