School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA; PanAmerican Bioinformatics Institute, Cali, Valle del Cauca 760043, Colombia; Applied Bioinformatics Laboratory, Atlanta, GA 30332, USA.
School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA; PanAmerican Bioinformatics Institute, Cali, Valle del Cauca 760043, Colombia.
Gene. 2018 Oct 30;675:69-79. doi: 10.1016/j.gene.2018.06.077. Epub 2018 Jun 25.
Insertional activity of transposable elements (TEs) has had a major impact on the human genome; approximately one-half to two-thirds of the genome sequence is likely to be derived from TE insertions. Several families of human TEs - primarily Alu, L1 and SVA - continue to actively transpose, thereby generating insertional polymorphisms among individual genomes. The impact that TE insertions have on their human hosts' fitness, and accordingly the role that natural selection plays in shaping patterns of TE polymorphisms among populations, have yet to be systematically evaluated using whole genome sequence data. We present here a population genomic study of the effects of natural selection on human genetic variation that results from the recent activity of TEs. We developed a genome-wide scan for selection on human TE polymorphisms and applied it to a dataset of 14,384 locus-specific TE insertions characterized for 1511 individuals from 15 populations. Our TE selection scan looks for anomalously high population-specific TE insertion allele frequencies that are consistent with the action of positive (adaptive) selection. To control for the effects of demographic history, we compared the observed patterns of population-specific TE insertion allele frequencies to a neutral evolutionary model generated using time forward simulation of TE insertion allele frequencies among human population groups. This approach uncovered seven cases of polymorphic TE insertions that appear to have increased in frequency within specific human populations owing to the effects of positive selection. Five of the seven putatively selected TE insertions map to tissue-specific enhancers, and two cases correspond to expression quantitative trait loci that are associated with inter-individual gene regulatory differences. This study represents the first report of recent, local adaptation acting on polymorphic human TEs.
转座元件 (TEs) 的插入活性对人类基因组产生了重大影响;大约一半到三分之二的基因组序列可能来自 TE 插入。几种人类 TE 家族 - 主要是 Alu、L1 和 SVA - 仍在积极转座,从而在个体基因组中产生插入多态性。TE 插入对其人类宿主适应性的影响,以及自然选择在塑造人群中 TE 多态性模式方面的作用,尚未使用全基因组序列数据系统地评估。我们在这里提出了一项关于自然选择对人类遗传变异影响的群体基因组研究,这些变异是由 TEs 的近期活动引起的。我们开发了一种针对人类 TE 多态性选择的全基因组扫描,并将其应用于 1511 个人来自 15 个群体的 14384 个特定于基因座的 TE 插入特征的数据集。我们的 TE 选择扫描寻找异常高的群体特异性 TE 插入等位基因频率,这些频率与正选择(适应性选择)的作用一致。为了控制人口历史的影响,我们将观察到的群体特异性 TE 插入等位基因频率模式与使用时间向前模拟 TE 插入等位基因频率在人类群体中的进化模型进行了比较。这种方法揭示了七个多态性 TE 插入似乎由于正选择的影响而在特定人类群体中增加了频率。七个推测的被选择的 TE 插入中有五个映射到组织特异性增强子,两个案例对应于与个体间基因调控差异相关的表达数量性状基因座。这项研究代表了对多态性人类 TEs 进行近期局部适应的首次报道。