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

Katsuhiko Mineta; Tomotaka Matsumoto; Naoki Osada; Hitoshi Araki

doi:10.1016/j.gene.2015.03.011

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

Katsuhiko Mineta, Tomotaka Matsumoto, Naoki Osada, Hitoshi Araki

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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.

Original language	English (US)
Pages (from-to)	16-21
Number of pages	6
Journal	Gene
Volume	562
Issue number	1
DOIs	https://doi.org/10.1016/j.gene.2015.03.011
State	Published - May 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.

ASJC Scopus subject areas

Genetics

Access to Document

10.1016/j.gene.2015.03.011

Cite this

@article{b746b3f1526844dda2826792a0f378d7,

title = "Population genetics of non-genetic traits: Evolutionary roles of stochasticity in gene expression",

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.",

author = "Katsuhiko Mineta and Tomotaka Matsumoto and Naoki Osada and Hitoshi Araki",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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.",

year = "2015",

month = may,

doi = "10.1016/j.gene.2015.03.011",

language = "English (US)",

volume = "562",

pages = "16--21",

journal = "Gene",

issn = "0378-1119",

publisher = "Elsevier",

number = "1",

}

TY - JOUR

T1 - Population genetics of non-genetic traits: Evolutionary roles of stochasticity in gene expression

AU - Mineta, Katsuhiko

AU - Matsumoto, Tomotaka

AU - Osada, Naoki

AU - Araki, Hitoshi

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledgements: 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.

PY - 2015/5

Y1 - 2015/5

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/566151

UR - https://linkinghub.elsevier.com/retrieve/pii/S0378111915002760

UR - http://www.scopus.com/inward/record.url?scp=84925042069&partnerID=8YFLogxK

U2 - 10.1016/j.gene.2015.03.011

DO - 10.1016/j.gene.2015.03.011

M3 - Article

C2 - 25752289

SN - 0378-1119

VL - 562

SP - 16

EP - 21

JO - Gene

JF - Gene

IS - 1

ER -

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

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this