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量化性二态性进化过程中的不适应。

Quantifying maladaptation during the evolution of sexual dimorphism.

机构信息

School of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia.

Centre for Geometric Biology, Monash University, Clayton, Victoria 3800, Australia.

出版信息

Proc Biol Sci. 2019 Aug 14;286(1908):20191372. doi: 10.1098/rspb.2019.1372.

Abstract

Females and males have distinct trait optima, resulting in selection for sexual dimorphism. However, most traits have strong cross-sex genetic correlations, which constrain evolutionary divergence between the sexes and lead to protracted periods of maladaptation during the evolution of sexual dimorphism. While such constraints are thought to be costly in terms of individual and population fitness, it remains unclear how severe such costs are likely to be. Building upon classical models for the 'cost of selection' in changing environments (sensu Haldane), we derived a theoretical expression for the analogous cost of evolving sexual dimorphism; this cost is a simple function of genetic (co)variances of female and male traits and sex differences in trait optima. We then conducted a comprehensive literature search, compiled quantitative genetic data from a diverse set of traits and populations, and used them to quantify costs of sexual dimorphism in the light of our model. For roughly 90% of traits, costs of sexual dimorphism appear to be modest, and comparable to the costs of fixing one or a few beneficial substitutions. For the remaining traits (approx. 10%), sexual dimorphism appears to carry a substantial cost-potentially orders of magnitude greater than costs of selection during adaptation to environmental changes.

摘要

女性和男性具有明显的特征最优值,导致性二态性的选择。然而,大多数特征具有很强的跨性别遗传相关性,这限制了性别的进化分歧,并导致性二态性进化过程中长时间的适应不良。虽然这些限制在个体和种群适应度方面被认为是有代价的,但仍不清楚这些代价可能有多大。在变化环境下(根据 Haldane 的说法),我们基于经典的“选择代价”模型,推导出了进化性二态性的类似代价的理论表达式;这个代价是女性和男性特征的遗传(协)方差以及特征最优值的性别差异的简单函数。然后,我们进行了全面的文献检索,从各种特征和种群中编译了定量遗传数据,并根据我们的模型来量化性二态性的代价。对于大约 90%的特征,性二态性的代价似乎适中,与固定一个或几个有益替代的代价相当。对于其余特征(约 10%),性二态性似乎代价很高——潜在的数量级大于对环境变化适应过程中选择的代价。

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