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A TEST AND REVIEW OF THE ROLE OF EFFECTIVE POPULATION SIZE ON EXPERIMENTAL SEXUAL SELECTION PATTERNS

机译:有效人口规模在实验性选择模式中的作用的测试与回顾

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摘要

Experimental evolution, particularly experimental sexual selection in which sexual selection strength is manipulated by altering the mating system, is an increasingly popular method for testing evolutionary theory. Concerns have arisen regarding genetic diversity variation across experimental treatments: differences in the number and sex ratio of breeders (effective population size;Ne) and the potential for genetic hitchhiking, both of which may cause different levels of genetic variation between treatments. Such differences may affect the selection response and confound interpretation of results. Here we use both census-based estimators and molecular marker-based estimates to empirically test how experimental evolution of sexual selection in Drosophila pseudoobscura impacts Ne and autosomal genetic diversity. We also consider effects of treatment on X-linked Nes, which have previously been ignored. Molecular autosomal marker-based estimators indicate that neither Ne nor genetic diversity differs between treatments experiencing different sexual selection intensities; thus observed evolutionary responses reflect selection rather than any confounding effects of experimental design. Given the increasing number of studies on experimental sexual selection,we also review the census Nes of other experimental systems, calculate X-linked Ne, and compare how different studies have dealt with the issues of inbreeding, genetic drift, and genetic hitchhiking to help inform future designs.
机译:实验进化,尤其是实验性选择,其中通过改变交配系统来控制性选择强度,是测试进化论的一种越来越流行的方法。各种实验处理之间的遗传多样性变异引起关注:育种者的数量和性别比差异(有效种群数量; Ne)以及遗传搭便车的可能性,这两者都可能导致处理之间遗传变异的水平不同。这样的差异可能会影响选择反应和结果的混淆。在这里,我们同时使用基于人口普查的估计值和基于分子标记的估计值,以经验方式测试果蝇假性黑斑病中性选择的实验演变如何影响Ne和常染色体遗传多样性。我们还考虑了以前对X连锁Nes的治疗效果。基于分子常染色体标记的估计量表明,在经历不同性选择强度的治疗之间,Ne和遗传多样性均没有差异。因此观察到的进化反应反映了选择而不是实验设计的任何混杂影响。鉴于有关实验性选择的研究的数量不断增加,我们还将审查其他实验系统的普查Nes,计算X连锁Ne,并比较不同的研究如何处理近亲繁殖,遗传漂移和遗传搭便车问题,以帮助了解未来的设计。

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