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Structural variants involved in high-altitude adaptation detected using single-molecule long-read sequencing

Authors :
Jinlong Shi
Zhilong Jia
Jinxiu Sun
Xiaoreng Wang
Xiaojing Zhao
Chenghui Zhao
Fan Liang
Xinyu Song
Jiawei Guan
Xue Jia
Jing Yang
Qi Chen
Kang Yu
Qian Jia
Jing Wu
Depeng Wang
Yuhui Xiao
Xiaoman Xu
Yinzhe Liu
Shijing Wu
Qin Zhong
Jue Wu
Saijia Cui
Xiaochen Bo
Zhenzhou Wu
Minsung Park
Manolis Kellis
Kunlun He
Source :
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract Structural variants (SVs), accounting for a larger fraction of the genome than SNPs/InDels, are an important pool of genetic variation, enabling environmental adaptations. Here, we perform long-read sequencing data of 320 Tibetan and Han samples and show that SVs are highly involved in high-altitude adaptation. We expand the landscape of global SVs, apply robust models of selection and population differentiation combining SVs, SNPs and InDels, and use epigenomic analyses to predict enhancers, target genes and biological functions. We reveal diverse Tibetan-specific SVs affecting the regulatory circuitry of biological functions, including the hypoxia response, energy metabolism and pulmonary function. We find a Tibetan-specific deletion disrupts a super-enhancer and downregulates EPAS1 using enhancer reporter, cellular knock-out and DNA pull-down assays. Our study expands the global SV landscape, reveals the role of gene-regulatory circuitry rewiring in human adaptation, and illustrates the diverse functional roles of SVs in human biology.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.4236aabd39474e49a5b22e1a6f1f8566
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-023-44034-z