Evolutionary branching in deme-structured populations.


Autoria(s): Wakano, J.Y.; Lehmann, L.
Data(s)

2014

Resumo

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.

Identificador

https://serval.unil.ch/notice/serval:BIB_817690979587

info:pmid:24631046

https://serval.unil.ch/resource/serval:BIB_817690979587.P001/REF

http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_8176909795874

urn:nbn:ch:serval-BIB_8176909795874

http://my.unil.ch/serval/document/BIB_817690979587.pdf

http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_8176909795874

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Restricted: indefinite embargo

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Fonte

Journal of Theoretical Biology35183-95

Palavras-Chave #Algorithms; Animals; Biological Evolution; Game Theory; Genetic Drift; Models, Genetic; Mutation; Population Density; Population Dynamics; Selection, Genetic
Tipo

info:eu-repo/semantics/article

article

Formato

application/pdf