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Neanderthal introgression reintroduced functional ancestral alleles lost in Eurasian populations.尼安德特人基因渗入使欧亚人群中失去功能的祖先等位基因重现。
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The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes.27566 份冰岛基因组揭示尼安德特人基因渗入的本质。
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Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals.鉴定和解读非洲个体中的明显尼安德特人血统。
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古人类基因组学为基因表达进化提供了一扇窗口。

Archaic hominin genomics provides a window into gene expression evolution.

作者信息

Yan Stephanie M, McCoy Rajiv C

机构信息

Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA.

Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA.

出版信息

Curr Opin Genet Dev. 2020 Jun;62:44-49. doi: 10.1016/j.gde.2020.05.014. Epub 2020 Jun 29.

DOI:10.1016/j.gde.2020.05.014
PMID:32615344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7483639/
Abstract

Differences in gene expression are thought to account for most phenotypic differences within and between species. Consequently, gene expression is a powerful lens through which to study divergence between modern humans and our closest evolutionary relatives, the Neanderthals and Denisovans. Such insights complement biological knowledge gleaned from the fossil record, while also revealing general features of the mode and tempo of regulatory evolution. Because of the degradation of ancient RNA, gene expression profiles of archaic hominins must be studied by indirect means. As such, conclusions drawn from these studies are often laden with assumptions about the genetic architecture of gene expression, the complexity of which is increasingly apparent. Despite these challenges, rapid technical and conceptual advances in the fields of ancient genomics, functional genomics, statistical genomics, and genome engineering are revolutionizing understanding of hominin gene expression evolution.

摘要

基因表达的差异被认为是物种内部和物种之间大多数表型差异的原因。因此,基因表达是一个强大的视角,通过它可以研究现代人类与我们最亲近的进化亲属尼安德特人和丹尼索瓦人之间的差异。这些见解补充了从化石记录中收集到的生物学知识,同时也揭示了调控进化的模式和节奏的一般特征。由于古代RNA的降解,必须通过间接手段研究古人类的基因表达谱。因此,从这些研究中得出的结论往往充满了关于基因表达遗传结构的假设,而其复杂性日益明显。尽管存在这些挑战,但古代基因组学、功能基因组学、统计基因组学和基因组工程领域的快速技术和概念进步正在彻底改变对人类基因表达进化的理解。