Optimization of Gene Expression by Natural Selection

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Optimization of Gene Expression by Natural Selection

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Title: Optimization of Gene Expression by Natural Selection
Author: Bedford, Trevor; Hartl, Daniel L.

Note: Order does not necessarily reflect citation order of authors.

Citation: Bedford, Trevor and Daniel L. Hartl. 2009. Optimization of gene expression by natural selection. Proceedings of the National Academy of Sciences 106(4): 1133-1138.
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Abstract: It is generally assumed that stabilizing selection promoting a phenotypic optimum acts to shape variation in quantitative traits across individuals and species. Although gene expression represents an intensively studied molecular phenotype, the extent to which stabilizing selection limits divergence in gene expression remains contentious. In this study, we present a theoretical framework for the study of stabilizing and directional selection using data from between-species divergence of continuous traits. This framework, based upon Brownian motion, is analytically tractable and can be used in maximum-likelihood or Bayesian parameter estimation. We apply this model to gene-expression levels in 7 species of Drosophila, and find that gene-expression divergence is substantially curtailed by stabilizing selection. However, we estimate the selective effect, s, of gene-expression change to be very small, approximately equal to Ns for a change of one standard deviation, where N is the effective population size. These findings highlight the power of natural selection to shape phenotype, even when the fitness effects of mutations are in the nearly neutral range.
Published Version: http://dx.doi.org/10.1073/pnas.0812009106
Other Sources: http://www-personal.umich.edu/~bedfordt/pdfs/bedford-ou-expr-2009.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3630584

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  • FAS Scholarly Articles [8094]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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