Department of Biology, Johns Hopkins University, Baltimore, Baltimore, United States.
Department of Computer Science, Johns Hopkins University, Baltimore, United States.
Elife. 2021 Sep 16;10:e67615. doi: 10.7554/eLife.67615.
Large genomic insertions and deletions are a potent source of functional variation, but are challenging to resolve with short-read sequencing, limiting knowledge of the role of such structural variants (SVs) in human evolution. Here, we used a graph-based method to genotype long-read-discovered SVs in short-read data from diverse human genomes. We then applied an admixture-aware method to identify 220 SVs exhibiting extreme patterns of frequency differentiation - a signature of local adaptation. The top two variants traced to the immunoglobulin heavy chain locus, tagging a haplotype that swept to near fixation in certain southeast Asian populations, but is rare in other global populations. Further investigation revealed evidence that the haplotype traces to gene flow from Neanderthals, corroborating the role of immune-related genes as prominent targets of adaptive introgression. Our study demonstrates how recent technical advances can help resolve signatures of key evolutionary events that remained obscured within technically challenging regions of the genome.
大片段基因插入和缺失是功能变异的一个有效来源,但用短读测序很难解决这个问题,这限制了我们对这些结构变异(SVs)在人类进化中所起作用的了解。在这里,我们使用基于图的方法对来自不同人类基因组的短读数据中的长读发现的 SVs 进行基因分型。然后,我们应用一种混合感知方法来识别 220 个表现出极端频率分化模式的 SVs,这是局部适应的一个特征。前两个变体可追溯到免疫球蛋白重链基因座,标记了一个在某些东南亚人群中几乎固定的单倍型,但在其他全球人群中很少见。进一步的研究表明,该单倍型可以追溯到与尼安德特人的基因流,证实了免疫相关基因作为适应性基因渗入的主要靶点的作用。我们的研究表明,最近的技术进步如何帮助解决基因组中技术挑战性区域内仍然模糊不清的关键进化事件的特征。