共 38 条
Evolutionary branching in deme-structured populations
被引:25
作者:
Wakano, Joe Yuichiro
[1
,2
]
Lehmann, Laurent
[3
]
机构:
[1] Meiji Univ, Meiji Inst Adv Study Math Sci, Tokyo 1648525, Japan
[2] PRESTO, Japan Sci & Technol, Tokyo, Japan
[3] UNIL Sorge, Dept Ecol & Evolut, CH-1015 Lausanne, Switzerland
关键词:
Inclusive fitness effect on trait variance;
Hamilton's rule;
Genetic drift;
Relatedness;
Individual-based simulation;
SUBDIVIDED POPULATIONS;
VISCOUS POPULATIONS;
INCLUSIVE FITNESS;
DEFINE FITNESS;
DISPERSAL;
SELECTION;
DYNAMICS;
TRAITS;
MODELS;
COMPETITION;
D O I:
10.1016/j.jtbi.2014.02.036
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
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 p. airwise interaction game. This agrees very well with the individual-based simulation results. (C) 2014 Elsevier Ltd. All rights reserved.
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页码:83 / 95
页数:13
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