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鸟类辐射中基因渐渗的动态变化。

The dynamics of introgression across an avian radiation.

作者信息

Singhal Sonal, Derryberry Graham E, Bravo Gustavo A, Derryberry Elizabeth P, Brumfield Robb T, Harvey Michael G

机构信息

Department of Biology California State University, Dominguez Hills Carson California 90747.

Department of Ecology and Evolutionary Biology University of Tennessee Knoxville Tennessee 37996.

出版信息

Evol Lett. 2021 Sep 28;5(6):568-581. doi: 10.1002/evl3.256. eCollection 2021 Dec.

Abstract

Hybridization and resulting introgression can play both a destructive and a creative role in the evolution of diversity. Thus, characterizing when and where introgression is most likely to occur can help us understand the causes of diversification dynamics. Here, we examine the prevalence of and variation in introgression using phylogenomic data from a large (1300+ species), geographically widespread avian group, the suboscine birds. We first examine patterns of gene tree discordance across the geographic distribution of the entire clade. We then evaluate the signal of introgression in a subset of 206 species triads using Patterson's -statistic and test for associations between introgression signal and evolutionary, geographic, and environmental variables. We find that gene tree discordance varies across lineages and geographic regions. The signal of introgression is highest in cases where species occur in close geographic proximity and in regions with more dynamic climates since the Pleistocene. Our results highlight the potential of phylogenomic datasets for examining broad patterns of hybridization and suggest that the degree of introgression between diverging lineages might be predictable based on the setting in which they occur.

摘要

杂交以及由此产生的基因渗入在多样性进化过程中既可能起到破坏作用,也可能发挥创造性作用。因此,明确基因渗入最有可能发生的时间和地点,有助于我们理解物种多样化动态变化的成因。在此,我们利用来自一个大型(1300多个物种)、地理分布广泛的鸟类类群——亚鸣禽的数据,通过系统基因组学方法研究基因渗入的普遍性及其变异情况。我们首先考察整个进化枝地理分布范围内基因树不一致的模式。然后,我们使用帕特森氏D统计量评估206个物种三元组子集中的基因渗入信号,并检验基因渗入信号与进化、地理和环境变量之间的关联。我们发现,基因树不一致在不同谱系和地理区域存在差异。在物种地理距离相近以及自更新世以来气候更具动态变化的区域,基因渗入信号最为强烈。我们的研究结果凸显了系统基因组数据集在研究广泛杂交模式方面的潜力,并表明基于分歧谱系所处的环境,它们之间的基因渗入程度可能是可预测的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093e/8645201/7534e1fb1c68/EVL3-5-568-g001.jpg

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