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比较环境方差和遗传方差作为对波动选择的适应性反应。

Comparing environmental and genetic variance as adaptive response to fluctuating selection.

机构信息

Mathematics and Biosciences Group, Department of Mathematics, University of Vienna, Nordbergstrasse 15, 1090 Vienna, Austria.

出版信息

Evolution. 2011 Sep;65(9):2492-513. doi: 10.1111/j.1558-5646.2011.01318.x. Epub 2011 May 12.

Abstract

Phenotypic variation within populations has two sources: genetic variation and environmental variation. Here, we investigate the coevolution of these two components under fluctuating selection. Our analysis is based on the lottery model in which genetic polymorphism can be maintained by negative frequency-dependent selection, whereas environmental variation can be favored due to bet-hedging. In our model, phenotypes are characterized by a quantitative trait under stabilizing selection with the optimal phenotype fluctuating in time. Genotypes are characterized by their phenotypic offspring distribution, which is assumed to be Gaussian with heritable variation for its mean and variance. Polymorphism in the mean corresponds to genetic variance while the width of the offspring distribution corresponds to environmental variance. We show that increased environmental variance is favored whenever fluctuations in the selective optima are sufficiently strong. Given the environmental variance has evolved to its optimum, genetic polymorphism can still emerge if the distribution of selective optima is sufficiently asymmetric or leptokurtic. Polymorphism evolves in a diagonal direction in trait space: one type becomes a canalized specialist for the more common ecological conditions and the other type a de-canalized bet-hedger thriving on the less-common conditions. All results are based on analytical approximations, complemented by individual-based simulations.

摘要

群体内的表型变异有两个来源

遗传变异和环境变异。在这里,我们研究了这两个因素在波动选择下的共同进化。我们的分析基于彩票模型,其中遗传多态性可以通过负频率依赖选择得到维持,而环境变异可以由于避险而得到青睐。在我们的模型中,表型由稳定选择下的数量性状来描述,最优表型随时间波动。基因型的特征是其表型后代的分布,假设其均值和方差具有遗传变异性的正态分布。均值的多态性对应于遗传方差,而后代分布的宽度对应于环境方差。我们表明,只要选择最优值的波动足够强,环境方差的增加就会受到青睐。给定环境方差已经进化到最优值,如果选择最优值的分布足够不对称或尖峰,则仍然可以出现遗传多态性。多态性在性状空间中沿对角线进化:一种类型成为更常见生态条件下的特化专家,另一种类型成为在较不常见条件下繁荣的去特化避险者。所有结果都基于分析近似值,并辅以个体模拟。

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