Evolutionary branching in deme-structured populations.

Détails

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Etat: Serval
Version: Final published version
ID Serval
serval:BIB_817690979587
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Evolutionary branching in deme-structured populations.
Périodique
Journal of Theoretical Biology
Auteur(s)
Wakano J.Y., Lehmann L.
ISSN
1095-8541 (Electronic)
ISSN-L
0022-5193
Statut éditorial
Publié
Date de publication
2014
Peer-reviewed
Oui
Volume
351
Pages
83-95
Langue
anglais
Résumé
Adaptive dynamics shows that a continuous trait under frequency dependent selection may first converge to a singular point followed by spontaneous transition from a unimodal trait distribution into a bimodal one, which is called "evolutionary branching". Here, we study evolutionary branching in a deme-structured population by constructing a quantitative genetic model for the trait variance dynamics, which allows us to obtain an analytic condition for evolutionary branching. This is first shown to agree with previous conditions for branching expressed in terms of relatedness between interacting individuals within demes and obtained from mutant-resident systems. We then show this branching condition can be markedly simplified when the evolving trait affect fecundity and/or survival, as opposed to affecting population structure, which would occur in the case of the evolution of dispersal. As an application of our model, we evaluate the threshold migration rate below which evolutionary branching cannot occur in a pairwise interaction game. This agrees very well with the individual-based simulation results.
Mots-clé
Algorithms, Animals, Biological Evolution, Game Theory, Genetic Drift, Models, Genetic, Mutation, Population Density, Population Dynamics, Selection, Genetic
Pubmed
Web of science
Création de la notice
01/03/2014 11:26
Dernière modification de la notice
03/03/2018 18:47
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