Literature DB >> 25752289

Population genetics of non-genetic traits: evolutionary roles of stochasticity in gene expression.

Katsuhiko Mineta1, Tomotaka Matsumoto2, Naoki Osada3, Hitoshi Araki4.   

Abstract

The role of stochasticity in evolutionary genetics has long been debated. To date, however, the potential roles of non-genetic traits in evolutionary processes have been largely neglected. In molecular biology, growing evidence suggests that stochasticity in gene expression (SGE) is common and that SGE has major impacts on phenotypes and fitness. Here, we provide a general overview of the potential effects of SGE on population genetic parameters, arguing that SGE can indeed have a profound effect on evolutionary processes. Our analyses suggest that SGE potentially alters the fate of mutations by influencing effective population size and fixation probability. In addition, a genetic control of SGE magnitude could evolve under certain conditions, if the fitness of the less-fit individual increases due to SGE and environmental fluctuation. Although empirical evidence for our arguments is yet to come, methodological developments for precisely measuring SGE in living organisms will further advance our understanding of SGE-driven evolution.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Effective population size; Fitness; Gene expression; Selection; Stochasticity

Mesh:

Year:  2015        PMID: 25752289     DOI: 10.1016/j.gene.2015.03.011

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  5 in total

Review 1.  Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function.

Authors:  Hannah Dueck; James Eberwine; Junhyong Kim
Journal:  Bioessays       Date:  2015-12-02       Impact factor: 4.345

2.  Computational Investigation of Environment-Noise Interaction in Single-Cell Organisms: The Merit of Expression Stochasticity Depends on the Quality of Environmental Fluctuations.

Authors:  Anja Lück; Lukas Klimmasch; Peter Großmann; Sebastian Germerodt; Christoph Kaleta
Journal:  Sci Rep       Date:  2018-01-10       Impact factor: 4.379

3.  Mistranslation can enhance fitness through purging of deleterious mutations.

Authors:  Sinisa Bratulic; Macarena Toll-Riera; Andreas Wagner
Journal:  Nat Commun       Date:  2017-05-19       Impact factor: 14.919

4.  An Individual-Based Diploid Model Predicts Limited Conditions Under Which Stochastic Gene Expression Becomes Advantageous.

Authors:  Tomotaka Matsumoto; Katsuhiko Mineta; Naoki Osada; Hitoshi Araki
Journal:  Front Genet       Date:  2015-11-24       Impact factor: 4.599

5.  Gene expression noise can promote the fixation of beneficial mutations in fluctuating environments.

Authors:  Michael Schmutzer; Andreas Wagner
Journal:  PLoS Comput Biol       Date:  2020-10-26       Impact factor: 4.475

  5 in total

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