Biomedical Sciences Graduate Program, University of California, San Francisco, California 94143.
Botanical Institute, University of Cologne, Germany, 50674.
Genetics. 2020 Apr;214(4):1019-1030. doi: 10.1534/genetics.119.302892. Epub 2020 Feb 18.
Neutral genetic diversity across the genome is determined by the complex interplay of mutation, demographic history, and natural selection. While the direct action of natural selection is limited to functional loci across the genome, its impact can have effects on nearby neutral loci due to genetic linkage. These effects of selection at linked sites, referred to as genetic hitchhiking and background selection (BGS), are pervasive across natural populations. However, only recently has there been a focus on the joint consequences of demography and selection at linked sites, and some empirical studies have come to apparently contradictory conclusions as to their combined effects. To understand the relationship between demography and selection at linked sites, we conducted an extensive forward simulation study of BGS under a range of demographic models. We found that the relative levels of diversity in BGS and neutral regions vary over time and that the initial dynamics after a population size change are often in the opposite direction of the long-term expected trajectory. Our detailed observations of the temporal dynamics of neutral diversity in the context of selection at linked sites in nonequilibrium populations provide new intuition about why patterns of diversity under BGS vary through time in natural populations and help reconcile previously contradictory observations. Most notably, our results highlight that classical models of BGS are poorly suited for predicting diversity in nonequilibrium populations.
基因组中的中性遗传多样性是由突变、人口历史和自然选择的复杂相互作用决定的。虽然自然选择的直接作用仅限于基因组中的功能位点,但由于遗传连锁,它对附近的中性位点也会产生影响。这种选择在连锁位点上的效应,被称为遗传搭便车和背景选择(BGS),在自然种群中普遍存在。然而,直到最近才有人关注连锁位点的人口统计学和选择的联合后果,一些实证研究对它们的综合影响得出了明显矛盾的结论。为了理解连锁位点的人口统计学和选择之间的关系,我们在一系列人口统计学模型下对 BGS 进行了广泛的正向模拟研究。我们发现,BGS 和中性区域的相对多样性水平随时间而变化,而且在种群大小变化后的初始动态通常与长期预期轨迹相反。我们在非平衡种群中对连锁位点选择下中性多样性的时间动态进行了详细观察,这为为什么 BGS 下的多样性模式在自然种群中随时间变化提供了新的直觉,并有助于调和以前相互矛盾的观察结果。最值得注意的是,我们的结果强调了经典的 BGS 模型不太适合预测非平衡种群中的多样性。