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丹尼索瓦人、尼安德特人和现代人类的基因:渐渗和自然选择循环的进化史

The gene in Denisovans, Neanderthals, and Modern Humans: An Evolutionary History of Recurrent Introgression and Natural Selection.

作者信息

Villanea Fernando A, Peede David, Kaufman Eli J, Añorve-Garibay Valeria, Chevy Elizabeth T, Villa-Islas Viridiana, Witt Kelsey E, Zeloni Roberta, Marnetto Davide, Moorjani Priya, Jay Flora, Valdmanis Paul N, Ávila-Arcos María C, Huerta-Sánchez Emilia

机构信息

Department of Anthropology, University of Colorado Boulder.

Department of Ecology, Evolution, and Organismal Biology, Brown University.

出版信息

bioRxiv. 2024 Dec 11:2023.09.25.559202. doi: 10.1101/2023.09.25.559202.

Abstract

We study the gene MUC19, for which modern humans carry a Denisovan-like haplotype. MUC19 is a mucin, a glycoprotein that forms gels with various biological functions. We find the diagnostic variants for the Denisovan-like MUC19 haplotype at high frequencies in admixed Latin American individuals among global populations, and at highest frequency in 23 ancient Indigenous American individuals, all predating population admixture with Europeans and Africans. We find that the Denisovan-like MUC19 haplotype carries a higher copy number of a 30 base-pair variable number tandem repeat, and that copy numbers of this repeat are exceedingly high in American populations and are under positive selection. This study provides the first example of positive selection acting on archaic alleles at coding sites and VNTRs. Finally, we find that some Neanderthals carry the Denisovan-like MUC19 haplotype, and that it was likely introgressed into human populations through Neanderthal introgression rather than Denisovan introgression.

摘要

我们研究了基因MUC19,现代人类携带一种类似丹尼索瓦人的单倍型。MUC19是一种粘蛋白,是一种能形成具有多种生物学功能的凝胶的糖蛋白。我们在全球人群中混血的拉丁美洲个体中发现类似丹尼索瓦人的MUC19单倍型的诊断变异,在23个古代美洲原住民个体中频率最高,所有这些个体都早于与欧洲人和非洲人的种群混合。我们发现类似丹尼索瓦人的MUC19单倍型携带一个30个碱基对的可变数目串联重复序列的更高拷贝数,并且该重复序列的拷贝数在美洲人群中极高且处于正选择之下。这项研究提供了正选择作用于编码位点和可变数目串联重复序列上的古老等位基因的首个例子。最后,我们发现一些尼安德特人携带类似丹尼索瓦人的MUC19单倍型,并且它可能是通过尼安德特人的基因渗入而非丹尼索瓦人的基因渗入进入人类群体的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a28/12233810/316b937217c8/nihpp-2023.09.25.559202v3-f0001.jpg

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