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

Handle URI:
http://hdl.handle.net/10754/566151
Title:
Population genetics of non-genetic traits: Evolutionary roles of stochasticity in gene expression
Authors:
Mineta, Katsuhiko ( 0000-0002-4727-045X ) ; Matsumoto, Tomotaka; Osada, Naoki; Araki, Hitoshi
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.
KAUST Department:
Computational Bioscience Research Center (CBRC)
Publisher:
Elsevier BV
Journal:
Gene
Issue Date:
May-2015
DOI:
10.1016/j.gene.2015.03.011
Type:
Article
ISSN:
03781119
Sponsors:
We thank Tomoko Ohta, Dan Graur, Daniel Hartl, Kunihiko Kaneko, Hidenori Tachida, Carlos Melian, Mathieu Camenzind, and Julian Junker for their useful discussions in the early stages of this article. This work was supported by the Swiss National Science Foundation Grant to HA. (No. 31003A_125213) and by a grant for young scientists from the Graduate School of Information Science and Technology, Hokkaido University to K.M.
Appears in Collections:
Articles; Computational Bioscience Research Center (CBRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorMineta, Katsuhikoen
dc.contributor.authorMatsumoto, Tomotakaen
dc.contributor.authorOsada, Naokien
dc.contributor.authorAraki, Hitoshien
dc.date.accessioned2015-08-12T09:30:13Zen
dc.date.available2015-08-12T09:30:13Zen
dc.date.issued2015-05en
dc.identifier.issn03781119en
dc.identifier.doi10.1016/j.gene.2015.03.011en
dc.identifier.urihttp://hdl.handle.net/10754/566151en
dc.description.abstractThe 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.en
dc.description.sponsorshipWe thank Tomoko Ohta, Dan Graur, Daniel Hartl, Kunihiko Kaneko, Hidenori Tachida, Carlos Melian, Mathieu Camenzind, and Julian Junker for their useful discussions in the early stages of this article. This work was supported by the Swiss National Science Foundation Grant to HA. (No. 31003A_125213) and by a grant for young scientists from the Graduate School of Information Science and Technology, Hokkaido University to K.M.en
dc.publisherElsevier BVen
dc.subjectEffective population sizeen
dc.subjectFitnessen
dc.subjectGene expressionen
dc.subjectSelectionen
dc.subjectStochasticityen
dc.titlePopulation genetics of non-genetic traits: Evolutionary roles of stochasticity in gene expressionen
dc.typeArticleen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.identifier.journalGeneen
dc.contributor.institutionGraduate School of Information Science and Technology, Hokkaido University, N14W9 KitaSapporo, Japanen
dc.contributor.institutionGraduate School of Systems Life Sciences, Kyushu University, 6-10-1 HakozakiFukuoka, Japanen
dc.contributor.institutionDepartment of Population Genetics, National Institute of Genetics, 1111 YataMishima, Shizuoka, Japanen
dc.contributor.institutionDepartment of Genetics, The Graduate University for Advanced Studies (SOKENDAI), 1111 YataMishima, Shizuoka, Japanen
dc.contributor.institutionDepartment of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute of Aquatic Science and TechnologyKastanienbaum, Switzerlanden
dc.contributor.institutionResearch Faculty of Agriculture, Hokkaido University, N9W9 KitaSapporo, Japanen
kaust.authorMineta, Katsuhikoen
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