A Synthesis of Game Theory and Quantitative Genetic Models of Social Evolution
A Synthesis of Game Theory and Quantitative Genetic Models of Social Evolution
复制标题
博弈论与社会进化定量遗传模型的综合
DOI:
10.1093/jhered/esab064
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发表时间:
2022
影响因子:
3.1
通讯作者:
Hughes, ed., Kimberly
中科院分区:
文献类型:
--
作者:
McGlothlin, Joel W.;Akçay, Erol;Brodie, III, Edmund D.;Moore, Allen J.;Van Cleve, Jeremy;Hughes, ed., Kimberly
Two popular approaches for modeling social evolution, evolutionary game theory and quantitative genetics, ask complementary questions but are rarely integrated. Game theory focuses on evolutionary outcomes, with models solving for evolutionarily stable equilibria, whereas quantitative genetics provides insight into evolutionary processes, with models predicting short-term responses to selection. Here we draw parallels between evolutionary game theory and interacting phenotypes theory, which is a quantitative genetic framework for understanding social evolution. First, we show how any evolutionary game may be translated into two quantitative genetic selection gradients, nonsocial and social selection, which may be used to predict evolutionary change from a single round of the game. We show that synergistic fitness effects may alter predicted selection gradients, causing changes in magnitude and sign as the population mean evolves. Second, we show how evolutionary games involving plastic behavioral responses to partners can be modeled using indirect genetic effects, which describe how trait expression changes in response to genes in the social environment. We demonstrate that repeated social interactions in models of reciprocity generate indirect effects and conversely, that estimates of parameters from indirect genetic effect models may be used to predict the evolution of reciprocity. We argue that a pluralistic view incorporating both theoretical approaches will benefit empiricists and theorists studying social evolution. We advocate the measurement of social selection and indirect genetic effects in natural populations to test the predictions from game theory and, in turn, the use of game theory models to aid in the interpretation of quantitative genetic estimates.
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影响因子:
3.3
作者:
R. Willham
通讯作者:
R. Willham
DOI:
--
发表时间:
2012
期刊:
Philosophical Transactions of the Royal Society B: Biological Sciences
影响因子:
--
作者:
J. Roughgarden
通讯作者:
J. Roughgarden
DOI:
10.1098/rstb.2019.0362
发表时间:
2019
期刊:
Philosophical Transactions of the Royal Society B
影响因子:
--
作者:
Jussi Lehtonen
通讯作者:
Jussi Lehtonen
DOI:
--
发表时间:
1979
期刊:
影响因子:
--
作者:
M. West
通讯作者:
M. West
DOI:
10.1016/b978-0-12-809633-8.90048-7
发表时间:
2019
期刊:
Encyclopedia of Animal Behavior
影响因子:
--
作者:
R. L. Rodríguez;D. Rebar;N. Bailey
通讯作者:
N. Bailey