Detecting archaic introgression using an unadmixed outgroup.

Detecting archaic introgression using an unadmixed outgroup.
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DOI:
10.1371/journal.pgen.1007641
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发表时间:
2018-09
期刊:
影响因子:
4.5
通讯作者:
Durbin R
Durbin R
中科院分区:
生物学2区
文献类型:
--
作者:
Skov L;Hui R;Shchur V;Hobolth A;Scally A;Schierup MH;Durbin R

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非洲以外的人类群体至少经历了两次来自古人类的基因渗入,来自尼安德特人和丹尼索瓦人。在巴布亚人中,有这两种基因渗入的先前证据。在这里,我们提出了一种新的方法来检测片段的个别基因组的古老的起源,而不使用一个古老的参考基因组。该方法是基于一个隐马尔可夫模型,识别基因组区域的高密度的单核苷酸变异(SNV),没有看到在未混合的人口。我们使用模拟表明,这提供了一个强大的方法来识别具有低错误检测率的古基因渗入片段,给定来自合适外群人口的数据是可用的,没有古基因渗入,但包含大多数的变化,因为最初从古血统分离。此外,我们的方法是能够推断混合比例和时间的混合和初始分歧之间的人类和古代人口。我们应用该模型来检测89个巴布亚人的古老基因渗入,并显示如何识别的片段可以被分配到可能的尼安德特人或丹尼索瓦人的起源。我们报告更多的丹尼索瓦混合物比以前的研究,并发现尼安德特人和丹尼索瓦起源的碎片的大小分布的变化是兼容的混合时间的差异。此外,我们在东南亚人和南亚人中发现了少量的丹尼索瓦人血统。现代个体的遗传史包括不同群体之间的交配事件,这导致了“渗入”的遗传物质在现代基因组序列中持续存在。在人类身上发生的这类事件中,最值得注意的例子可能是大约5万年前尼安德特人向非非洲人的基因渗入,以及一个相关的古老群体丹尼索瓦人向巴布亚新几内亚和澳大利亚土著人祖先的基因渗入。鉴定基因渗入和源自它们的基因组区域的方法通常涉及使用源群体的参考基因组序列。然而,具有独立于参考序列的方法是有优势的,既可以减少偏倚,又可以检测来自我们目前缺乏参考基因组的组的可能的基因渗入。在本文中,我们描述了这样一种方法,在一个统计框架中,它利用了这样一个事实,即渗入区域将包含高密度的遗传变异,这些遗传变异对接收不同材料的群体是私有的。我们将这种方法应用于89个巴布亚基因组序列,估计古人类和现代人类之间的渐渗和初始分歧的时间,并将其与其他相关方法进行比较。
Human populations outside of Africa have experienced at least two bouts of introgression from archaic humans, from Neanderthals and Denisovans. In Papuans there is prior evidence of both these introgressions. Here we present a new approach to detect segments of individual genomes of archaic origin without using an archaic reference genome. The approach is based on a hidden Markov model that identifies genomic regions with a high density of single nucleotide variants (SNVs) not seen in unadmixed populations. We show using simulations that this provides a powerful approach to identifying segments of archaic introgression with a low rate of false detection, given data from a suitable outgroup population is available, without the archaic introgression but containing a majority of the variation that arose since initial separation from the archaic lineage. Furthermore our approach is able to infer admixture proportions and the times both of admixture and of initial divergence between the human and archaic populations. We apply the model to detect archaic introgression in 89 Papuans and show how the identified segments can be assigned to likely Neanderthal or Denisovan origin. We report more Denisovan admixture than previous studies and find a shift in size distribution of fragments of Neanderthal and Denisovan origin that is compatible with a difference in admixture time. Furthermore, we identify small amounts of Denisova ancestry in South East Asians and South Asians. The genetic history of present-day individuals includes episodes of mating between divergent groups, which have led to 'introgressed' genetic material persisting in modern genome sequences. Perhaps the most notable examples of such events in humans are the introgressions from Neanderthals into non-Africans 50,000 or so years ago, and from a related archaic group known as Denisovans into the ancestors of indigenous people from Papua-New Guinea and Australia. Methods to identify introgressions and the genomic regions that derive from them generally involve the use of reference genome sequences for the source populations. However, there are advantages in having methods independent of reference sequences, both to reduce bias and to detect possible introgression from groups for which we currently lack a reference genome. In this paper we describe such an approach, in a statistical framework which exploits the fact that introgressed regions will contain a high density of genetic variants that are private to the group receiving the divergent material. We apply this method to 89 Papuan genome sequences, estimating times of introgression and initial divergence between archaic and modern humans, and compare it to other related methods.
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