Department of Physics, University of California, Berkeley, Berkeley, California, United States of America.
Department of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America.
PLoS Genet. 2019 Feb 11;15(2):e1007936. doi: 10.1371/journal.pgen.1007936. eCollection 2019 Feb.
Adaptation in extended populations often occurs through multiple independent mutations responding in parallel to a common selection pressure. As the mutations spread concurrently through the population, they leave behind characteristic patterns of polymorphism near selected loci-so-called soft sweeps-which remain visible after adaptation is complete. These patterns are well-understood in two limits of the spreading dynamics of beneficial mutations: the panmictic case with complete absence of spatial structure, and spreading via short-ranged or diffusive dispersal events, which tessellates space into distinct compact regions each descended from a unique mutation. However, spreading behaviour in most natural populations is not exclusively panmictic or diffusive, but incorporates both short-range and long-range dispersal events. Here, we characterize the spatial patterns of soft sweeps driven by dispersal events whose jump distances are broadly distributed, using lattice-based simulations and scaling arguments. We find that mutant clones adopt a distinctive structure consisting of compact cores surrounded by fragmented "haloes" which mingle with haloes from other clones. As long-range dispersal becomes more prominent, the progression from diffusive to panmictic behaviour is marked by two transitions separating regimes with differing relative sizes of halo to core. We analyze the implications of the core-halo structure for the statistics of soft sweep detection in small genomic samples from the population, and find opposing effects of long-range dispersal on the expected diversity in global samples compared to local samples from geographic subregions of the range. We also discuss consequences of the standing genetic variation induced by the soft sweep on future adaptation and mixing.
在扩展种群中,适应通常是通过多个独立的突变平行响应共同的选择压力而发生的。随着突变在种群中同时传播,它们在选择位点附近留下了特征性的多态性模式——所谓的软扫除(soft sweeps)——在适应完成后仍然可见。这些模式在有益突变传播动力学的两个极限中得到了很好的理解:完全没有空间结构的混合种群情况,以及通过短程或扩散扩散事件传播,这些事件将空间划分为不同的紧密区域,每个区域都来自一个独特的突变。然而,大多数自然种群的扩散行为并不完全是混合的或扩散的,而是同时包含短程和长程扩散事件。在这里,我们使用基于晶格的模拟和标度分析,描述了由跳跃距离广泛分布的扩散事件驱动的软扫除的空间模式。我们发现,突变克隆采用了一种独特的结构,由紧密的核心组成,核心周围是碎片化的“晕轮”,这些晕轮与其他克隆的晕轮混合在一起。随着长程扩散变得更加突出,从扩散到混合行为的进展由两个转变来标记,这两个转变将具有不同大小的晕轮和核心的区域分开。我们分析了核心-晕轮结构对从种群中获得的小基因组样本中软扫除检测统计数据的影响,并发现长程扩散对全球样本中预期多样性的影响与地理区域的局部样本不同。我们还讨论了软扫除引起的遗传变异对未来适应和混合的影响。