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有限扩散下表型(协)方差的进化数量遗传学模型及其在社会协同性状中的应用。

An evolutionary quantitative genetics model for phenotypic (co)variances under limited dispersal, with an application to socially synergistic traits.

机构信息

Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland.

出版信息

Evolution. 2019 Sep;73(9):1695-1728. doi: 10.1111/evo.13803. Epub 2019 Aug 9.

Abstract

Darwinian evolution consists of the gradual transformation of heritable traits due to natural selection and the input of random variation by mutation. Here, we use a quantitative genetics approach to investigate the coevolution of multiple quantitative traits under selection, mutation, and limited dispersal. We track the dynamics of trait means and of variance-covariances between traits that experience frequency-dependent selection. Assuming a multivariate-normal trait distribution, we recover classical dynamics of quantitative genetics, as well as stability and evolutionary branching conditions of invasion analyses, except that due to limited dispersal, selection depends on indirect fitness effects and relatedness. In particular, correlational selection that associates different traits within-individuals depends on the fitness effects of such associations between-individuals. We find that these kin selection effects can be as relevant as pleiotropy for the evolution of correlation between traits. We illustrate this with an example of the coevolution of two social traits whose association within-individuals is costly but synergistically beneficial between-individuals. As dispersal becomes limited and relatedness increases, associations between-traits between-individuals become increasingly targeted by correlational selection. Consequently, the trait distribution goes from being bimodal with a negative correlation under panmixia to unimodal with a positive correlation under limited dispersal.

摘要

达尔文式进化由自然选择引起的可遗传特征的逐渐转变和突变引起的随机变异输入组成。在这里,我们使用定量遗传学方法来研究在选择、突变和有限扩散下多个数量性状的共同进化。我们跟踪经历频率依赖选择的性状均值和性状之间方差协方差的动态。假设性状分布为多变量正态分布,我们恢复了定量遗传学的经典动态,以及入侵分析的稳定性和进化分支条件,只是由于扩散有限,选择取决于间接适应度效应和相关性。特别是,个体内不同性状的相关选择取决于个体间这种关联的适应度效应。我们发现,对于性状之间相关性的进化而言,这种亲缘选择效应与多效性一样重要。我们用一个例子来说明这一点,即两个社会性状的共同进化,个体内的关联是有代价的,但个体间是协同有益的。随着扩散的限制和相关性的增加,个体间性状之间的关联越来越受到相关选择的影响。因此,性状分布从泛群下具有负相关的双峰分布变为有限扩散下具有正相关的单峰分布。

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