Impact of gene expression noise on organismal fitness and the efficacy of natural selection
Zhi Wang1 and Jianzhi Zhang2
-Author Affiliations
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109
Edited by Masatoshi Nei, Pennsylvania State University, University Park, PA, and approved February 24, 2011 (received for review January 5, 2011)
Abstract
Gene expression noise is a universal phenomenon across all life forms. Although beneficial under certain circumstances, expression noise is generally thought to be deleterious. However, neither the magnitude of the deleterious effect nor the primary mechanism of this effect is known. Here, we model the impact of expression noise on the fitness of unicellular organisms by considering the influence of suboptimal expressions of enzymes on the rate of biomass production and the energetic cost associated with imprecise amounts of protein synthesis. Our theoretical modeling and empirical analysis of yeast data show four findings. (i) Expression noise reduces the mean fitness of a cell by at least 25%, and this reduction cannot be substantially alleviated by gene overexpression. (ii) Higher sensitivity of fitness to the expression fluctuations of essential genes than nonessential genes creates stronger selection against noise in essential genes, resulting in a decrease in their noise. (iii) Reduction of expression noise by genome doubling offers a substantial fitness advantage to diploids over haploids, even in the absence of sex. (iv) Expression noise generates fitness variation among isogenic cells, which lowers the efficacy of natural selection similar to the effect of population shrinkage. Thus, expression noise renders organisms both less adapted and less adaptable. Because expression noise is only one of many manifestations of the stochasticity in cellular molecular processes, our results suggest a much more fundamental role of molecular stochasticity in evolution than is currently appreciated.
flux balance analysis, metabolic network
Footnotes
1Present address: Sage Bionetworks, Seattle, WA 98109.
2To whom correspondence should be addressed. E-mail:jianzhi@umich.edu.
Author contributions: Z.W. and J.Z. designed research, performed research, analyzed data, and wrote the paper.
The authors declare no conflict of interest.
See Author Summary on page 6345.
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