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dc.contributor.authorMineta, Katsuhiko
dc.contributor.authorMatsumoto, Tomotaka
dc.contributor.authorOsada, Naoki
dc.contributor.authorAraki, Hitoshi
dc.date.accessioned2015-08-12T09:30:13Z
dc.date.available2015-08-12T09:30:13Z
dc.date.issued2015-05
dc.identifier.citationMineta, K., Matsumoto, T., Osada, N., & Araki, H. (2015). Population genetics of non-genetic traits: Evolutionary roles of stochasticity in gene expression. Gene, 562(1), 16–21. doi:10.1016/j.gene.2015.03.011
dc.identifier.issn03781119
dc.identifier.pmid25752289
dc.identifier.doi10.1016/j.gene.2015.03.011
dc.identifier.urihttp://hdl.handle.net/10754/566151
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.
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.
dc.publisherElsevier BV
dc.subjectEffective population size
dc.subjectFitness
dc.subjectGene expression
dc.subjectSelection
dc.subjectStochasticity
dc.titlePopulation genetics of non-genetic traits: Evolutionary roles of stochasticity in gene expression
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.identifier.journalGene
dc.contributor.institutionGraduate School of Information Science and Technology, Hokkaido University, N14W9 KitaSapporo, Japan
dc.contributor.institutionGraduate School of Systems Life Sciences, Kyushu University, 6-10-1 HakozakiFukuoka, Japan
dc.contributor.institutionDepartment of Population Genetics, National Institute of Genetics, 1111 YataMishima, Shizuoka, Japan
dc.contributor.institutionDepartment of Genetics, The Graduate University for Advanced Studies (SOKENDAI), 1111 YataMishima, Shizuoka, Japan
dc.contributor.institutionDepartment of Fish Ecology and Evolution, EAWAG, Swiss Federal Institute of Aquatic Science and TechnologyKastanienbaum, Switzerland
dc.contributor.institutionResearch Faculty of Agriculture, Hokkaido University, N9W9 KitaSapporo, Japan
kaust.personMineta, Katsuhiko


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