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人口统计学对功能基因组变异的抵消作用:罗姆人范式。

The Counteracting Effects of Demography on Functional Genomic Variation: The Roma Paradigm.

机构信息

Departament de Ciències Experimentals i de la Salut, Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain.

Human Evolutionary Genetics Unit, Institut Pasteur, UMR2000, CNRS, Paris, France.

出版信息

Mol Biol Evol. 2021 Jun 25;38(7):2804-2817. doi: 10.1093/molbev/msab070.

Abstract

Demographic history plays a major role in shaping the distribution of genomic variation. Yet the interaction between different demographic forces and their effects in the genomes is not fully resolved in human populations. Here, we focus on the Roma population, the largest transnational ethnic minority in Europe. They have a South Asian origin and their demographic history is characterized by recent dispersals, multiple founder events, and extensive gene flow from non-Roma groups. Through the analyses of new high-coverage whole exome sequences and genome-wide array data for 89 Iberian Roma individuals together with forward simulations, we show that founder effects have reduced their genetic diversity and proportion of rare variants, gene flow has counteracted the increase in mutational load, runs of homozygosity show ancestry-specific patterns of accumulation of deleterious homozygotes, and selection signals primarily derive from preadmixture adaptation in the Roma population sources. The present study shows how two demographic forces, bottlenecks and admixture, act in opposite directions and have long-term balancing effects on the Roma genomes. Understanding how demography and gene flow shape the genome of an admixed population provides an opportunity to elucidate how genomic variation is modeled in human populations.

摘要

人口历史在塑造基因组变异分布方面起着重要作用。然而,不同人口力量之间的相互作用及其在人类基因组中的影响尚未完全解决。在这里,我们专注于罗姆人(Roma)群体,这是欧洲最大的跨国少数民族。他们起源于南亚,其人口历史的特点是最近的分散、多次创始事件以及与非罗姆群体的广泛基因流动。通过对 89 名伊比利亚罗姆人个体的新的高覆盖度全外显子组序列和全基因组数组数据的分析以及正向模拟,我们表明创始效应降低了他们的遗传多样性和罕见变异的比例,基因流动抵消了突变负荷的增加,纯合子的连续增加表现出与祖先有关的有害纯合子积累的模式,选择信号主要来自罗姆人群体来源的混合前适应。本研究表明,两种人口力量——瓶颈效应和混合——如何朝着相反的方向作用,并对罗姆人的基因组产生长期的平衡影响。了解人口统计学和基因流动如何塑造混合人群的基因组为阐明人类群体中的基因组变异模型提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0dc/8233508/ad46005d87ee/msab070f1.jpg

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