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首页> 外文期刊>Proceedings of the Royal Society. Biological sciences >Stochastic processes drive rapid genomic divergence during experimental range expansions
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Stochastic processes drive rapid genomic divergence during experimental range expansions

机译:随机过程在实验范围内推动快速基因组分歧

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Range expansions are crucibles for rapid evolution, acting via both selective and neutral mechanisms. While selection on traits such as dispersal and fecundity may increase expansion speed, neutral mechanisms arising from repeated bottlenecks and genetic drift in edge populations (i.e. gene surfing) could slow spread or make it less predictable. Thus, it is necessary to disentangle the effects of selection from neutral mechanisms to robustly predict expansion dynamics. This is difficult to do with expansions in nature, as replicated expansions are required to distinguish selective and neutral processes in the genome. Using replicated microcosms of the red flour beetle (Tribolium castaneum), we identify a robust signature of stochastic, neutral mechanisms in genomic changes arising over only eight generations of expansion and assess the role of standing variation and de novo mutations in driving these changes. Average genetic diversity was reduced within edge populations, but with substantial among-replicate variability in the changes at specific genomic windows. Such variability in genomic changes is consistent with a large role for stochastic, neutral processes. This increased genomic divergence among populations was mirrored by heightened variation in population size and expansion speed, suggesting that stochastic variation in the genome could increase unpredictability of range expansions.
机译:范围扩展是快速进化的坩埚,通过选择性和中性机制作用。虽然在诸如分散和繁殖力的特征上的选择可以增加膨胀速度,但在边缘群中的重复瓶颈和遗传漂移产生的中性机制可以缓慢扩散或使其不太可预测。因此,有必要解开从中立机制选择选择的影响,以强大地预测扩展动态。这难以实现自然的扩展,因为需要复制的扩展来区分基因组中的选择性和中性过程。使用红色面粉甲虫(Trickolium Castaneum)的复制微观物体,我们识别出于八代扩张的基因组变化中随机的变化中的随机中性机制的稳健签名,并评估了站立变异和de Novo突变在驱动这些变化时的作用。边缘群体内平均遗传多样性降低,但在特定基因组窗口的变化中具有显着的变化。基因组变化的这种可变性与随机,中性过程的大作用一致。通过群体大小和膨胀速度的增加,群体之间的基因组分歧增加,表明基因组的随机变化可能会增加范围扩展的不可预测性。

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