TY - JOUR
T1 - Population genetics of non-genetic traits
T2 - Evolutionary roles of stochasticity in gene expression
AU - Mineta, Katsuhiko
AU - Matsumoto, Tomotaka
AU - Osada, Naoki
AU - Araki, Hitoshi
N1 - Funding Information:
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 H.A. (No. 31003A_125213 ) and by a grant for young scientists from the Graduate School of Information Science and Technology, Hokkaido University to K.M.
Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/5/10
Y1 - 2015/5/10
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.
KW - Effective population size
KW - Fitness
KW - Gene expression
KW - Selection
KW - Stochasticity
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U2 - 10.1016/j.gene.2015.03.011
DO - 10.1016/j.gene.2015.03.011
M3 - Review article
C2 - 25752289
AN - SCOPUS:84925042069
SN - 0378-1119
VL - 562
SP - 16
EP - 21
JO - Gene
JF - Gene
IS - 1
ER -