Avila, Piret and Mullon, Charles (2023) Evolutionary Game Theory and the Adaptive Dynamics Approach: Adaptation where Individuals Interact. Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 378 (n° 1876).

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Official URL : http://iast.fr/pub/127934
Identification Number : 10.1098/rstb.2021.0502


Evolutionary game theory and the adaptive dynamics approach have made invaluable contributions to understanding how gradual evolution leads to adaptation when individuals interact. Here, we review some of the basic tools that have come out of these contributions to model the evolution of quantitative traits in complex populations. We collect together mathematical expressions that describe directional and disruptive selection in class- and group-structured populations in terms of individual fitness, with the aims of bridging different models and interpreting selection. In particular, our review of disruptive selection suggests there are two main paths that can lead to diversity: (i) when individual fitness increases more than linearly with trait expression; (ii) when trait expression simultaneously increases the probability that an individual is in a certain context (e.g. a given age, sex, habitat, size or social environment) and fitness in that context. We provide various examples of these and more broadly argue that population structure lays the ground for the emergence of polymorphism with unique characteristics. Beyond this, we hope that the descriptions of selection we present here help see the tight links among fundamental branches of evolutionary biology, from life history to social evolution through evolutionary ecology, and thus favour further their integration.

Item Type: Article
Language: English
Date: 8 May 2023
Refereed: Yes
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 13 Apr 2023 09:59
Last Modified: 13 Apr 2023 12:42
OAI Identifier: oai:tse-fr.eu:127934
URI: https://publications.ut-capitole.fr/id/eprint/46982

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