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海岸线上的渐变群:面对基因流时快速分化的基因组结构。

Clines on the seashore: The genomic architecture underlying rapid divergence in the face of gene flow.

作者信息

Westram Anja M, Rafajlović Marina, Chaube Pragya, Faria Rui, Larsson Tomas, Panova Marina, Ravinet Mark, Blomberg Anders, Mehlig Bernhard, Johannesson Kerstin, Butlin Roger

机构信息

Department of Animal and Plant Sciences University of Sheffield UK.

Current address: IST Austria Am Campus 1 3400 Klosterneuburg Austria.

出版信息

Evol Lett. 2018 Aug 7;2(4):297-309. doi: 10.1002/evl3.74. eCollection 2018 Aug.

Abstract

Adaptive divergence and speciation may happen despite opposition by gene flow. Identifying the genomic basis underlying divergence with gene flow is a major task in evolutionary genomics. Most approaches (e.g., outlier scans) focus on genomic regions of high differentiation. However, not all genomic architectures potentially underlying divergence are expected to show extreme differentiation. Here, we develop an approach that combines hybrid zone analysis (i.e., focuses on spatial patterns of allele frequency change) with system-specific simulations to identify loci inconsistent with neutral evolution. We apply this to a genome-wide SNP set from an ideally suited study organism, the intertidal snail , which shows primary divergence between ecotypes associated with different shore habitats. We detect many SNPs with clinal patterns, most of which are consistent with neutrality. Among non-neutral SNPs, most are located within three large putative inversions differentiating ecotypes. Many non-neutral SNPs show relatively low levels of differentiation. We discuss potential reasons for this pattern, including loose linkage to selected variants, polygenic adaptation and a component of balancing selection within populations (which may be expected for inversions). Our work is in line with theory predicting a role for inversions in divergence, and emphasizes that genomic regions contributing to divergence may not always be accessible with methods purely based on allele frequency differences. These conclusions call for approaches that take spatial patterns of allele frequency change into account in other systems.

摘要

尽管存在基因流的阻碍,适应性分化和物种形成仍可能发生。确定基因流情况下分化的基因组基础是进化基因组学的一项主要任务。大多数方法(如异常值扫描)聚焦于高分化的基因组区域。然而,并非所有可能导致分化的基因组结构都预期会表现出极端分化。在此,我们开发了一种方法,将杂交带分析(即关注等位基因频率变化的空间模式)与特定系统的模拟相结合,以识别与中性进化不一致的基因座。我们将此方法应用于来自一种非常合适的研究生物——潮间带蜗牛的全基因组SNP数据集,该蜗牛在与不同海岸栖息地相关的生态型之间表现出初步分化。我们检测到许多具有渐变模式的SNP,其中大多数与中性一致。在非中性SNP中,大多数位于区分生态型的三个大的假定倒位区域内。许多非中性SNP表现出相对较低的分化水平。我们讨论了这种模式的潜在原因,包括与选择变体的松散连锁、多基因适应以及种群内平衡选择的一个组成部分(这可能是倒位所预期的)。我们的工作与预测倒位在分化中作用的理论一致,并强调导致分化的基因组区域可能并不总是能用纯粹基于等位基因频率差异的方法检测到。这些结论呼吁在其他系统中采用考虑等位基因频率变化空间模式的方法。

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