Evolutionary Dynamics in Structured Populations Under Strong Population Genetic Forces
Evolutionary Dynamics in Structured Populations Under Strong Population Genetic Forces
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DOI：
10.1534/g3.119.400605
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发表时间：
2019-10-01
影响因子：
2.6
通讯作者：
Petrov, Dmitri A.
中科院分区：
文献类型：
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作者：
Feder, Alison F.;Pennings, Pleuni S.;Petrov, Dmitri A.
在长期的中性平衡中，亚种群之间的高迁移率导致种群分化很小。然而，在短期内，即使是非常大量的迁徙也可能不足以使亚种群立即达到平衡。在本研究中，我们通过随机和分析模型研究了适应种群短期分化的动态模式。我们描述了一种制度，在这种制度中，选择和迁移相互作用，随着时间的推移，迁移比选择弱，但比漂变强，从而产生非单调的种群分化模式。我们演示了如何利用这些模式来使用近似贝叶斯计算来估计高迁移率。我们应用这种方法来估计从不同解剖位置采样的快速适应宿主内猿猴hiv人群的快速迁移。我们发现不同区域之间的估计迁移率存在差异，即使它们都高于Nem = 1。这项工作表明，在选择性扫描的时间尺度上研究人口统计过程如何揭示了在中性时间尺度上留下签名的过程太快。
In the long-term neutral equilibrium, high rates of migration between subpopulations result in little population differentiation. However, in the short-term, even very abundant migration may not be enough for subpopulations to equilibrate immediately. In this study, we investigate dynamical patterns of short-term population differentiation in adapting populations via stochastic and analytical modeling through time. We characterize a regime in which selection and migration interact to create non-monotonic patterns of population differentiation over time when migration is weaker than selection, but stronger than drift. We demonstrate how these patterns can be leveraged to estimate high migration rates using approximate Bayesian computation. We apply this approach to estimate fast migration in a rapidly adapting intra-host Simian-HIV population sampled from different anatomical locations. We find differences in estimated migration rates between different compartments, even though all are above Nem = 1. This work demonstrates how studying demographic processes on the timescale of selective sweeps illuminates processes too fast to leave signatures on neutral timescales.