Literature DB >> 21464323

Impact of gene expression noise on organismal fitness and the efficacy of natural selection.

Zhi Wang1, Jianzhi Zhang.   

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.

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Year:  2011        PMID: 21464323      PMCID: PMC3080991          DOI: 10.1073/pnas.1100059108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  62 in total

1.  Regulation of noise in the expression of a single gene.

Authors:  Ertugrul M Ozbudak; Mukund Thattai; Iren Kurtser; Alan D Grossman; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2002-04-22       Impact factor: 38.330

2.  Increased cell-to-cell variation in gene expression in ageing mouse heart.

Authors:  Rumana Bahar; Claudia H Hartmann; Karl A Rodriguez; Ashley D Denny; Rita A Busuttil; Martijn E T Dollé; R Brent Calder; Gary B Chisholm; Brad H Pollock; Christoph A Klein; Jan Vijg
Journal:  Nature       Date:  2006-06-22       Impact factor: 49.962

3.  The effects of molecular noise and size control on variability in the budding yeast cell cycle.

Authors:  Stefano Di Talia; Jan M Skotheim; James M Bean; Eric D Siggia; Frederick R Cross
Journal:  Nature       Date:  2007-08-23       Impact factor: 49.962

4.  In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data.

Authors:  J S Edwards; R U Ibarra; B O Palsson
Journal:  Nat Biotechnol       Date:  2001-02       Impact factor: 54.908

Review 5.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

6.  Population genomics of the wild yeast Saccharomyces paradoxus: Quantifying the life cycle.

Authors:  Isheng J Tsai; Douda Bensasson; Austin Burt; Vassiliki Koufopanou
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-14       Impact factor: 11.205

7.  Dosage sensitivity and the evolution of gene families in yeast.

Authors:  Balázs Papp; Csaba Pál; Laurence D Hurst
Journal:  Nature       Date:  2003-07-10       Impact factor: 49.962

8.  Evolution of chromosome organization driven by selection for reduced gene expression noise.

Authors:  Nizar N Batada; Laurence D Hurst
Journal:  Nat Genet       Date:  2007-08       Impact factor: 38.330

9.  Why is the correlation between gene importance and gene evolutionary rate so weak?

Authors:  Zhi Wang; Jianzhi Zhang
Journal:  PLoS Genet       Date:  2009-01-09       Impact factor: 5.917

10.  Prevalent positive epistasis in Escherichia coli and Saccharomyces cerevisiae metabolic networks.

Authors:  Xionglei He; Wenfeng Qian; Zhi Wang; Ying Li; Jianzhi Zhang
Journal:  Nat Genet       Date:  2010-01-24       Impact factor: 38.330

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  87 in total

1.  Reconciling molecular regulatory mechanisms with noise patterns of bacterial metabolic promoters in induced and repressed states.

Authors:  Matthew L Ferguson; Dominique Le Coq; Matthieu Jules; Stéphane Aymerich; Ovidiu Radulescu; Nathalie Declerck; Catherine A Royer
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-21       Impact factor: 11.205

Review 2.  Error prevention and mitigation as forces in the evolution of genes and genomes.

Authors:  Tobias Warnecke; Laurence D Hurst
Journal:  Nat Rev Genet       Date:  2011-11-18       Impact factor: 53.242

3.  Adaptive Genetic Robustness of Escherichia coli Metabolic Fluxes.

Authors:  Wei-Chin Ho; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2016-01-05       Impact factor: 16.240

4.  Additive, epistatic, and environmental effects through the lens of expression variability QTL in a twin cohort.

Authors:  Gang Wang; Ence Yang; Candice L Brinkmeyer-Langford; James J Cai
Journal:  Genetics       Date:  2013-12-02       Impact factor: 4.562

5.  Careful accounting of extrinsic noise in protein expression reveals correlations among its sources.

Authors:  John A Cole; Zaida Luthey-Schulten
Journal:  Phys Rev E       Date:  2017-06-27       Impact factor: 2.529

Review 6.  A functional perspective on phenotypic heterogeneity in microorganisms.

Authors:  Martin Ackermann
Journal:  Nat Rev Microbiol       Date:  2015-07-06       Impact factor: 60.633

Review 7.  Stochastic developmental variation, an epigenetic source of phenotypic diversity with far-reaching biological consequences.

Authors:  Günter Vogt
Journal:  J Biosci       Date:  2015-03       Impact factor: 1.826

Review 8.  Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods.

Authors:  Nathan E Lewis; Harish Nagarajan; Bernhard O Palsson
Journal:  Nat Rev Microbiol       Date:  2012-02-27       Impact factor: 60.633

9.  Genomic evidence for elevated mutation rates in highly expressed genes.

Authors:  Chungoo Park; Wenfeng Qian; Jianzhi Zhang
Journal:  EMBO Rep       Date:  2012-11-13       Impact factor: 8.807

10.  Evaluation of gene association methods for coexpression network construction and biological knowledge discovery.

Authors:  Sapna Kumari; Jeff Nie; Huann-Sheng Chen; Hao Ma; Ron Stewart; Xiang Li; Meng-Zhu Lu; William M Taylor; Hairong Wei
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

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