Cargando…

Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle

Copy number variations (CNVs) have been demonstrated as crucial substrates for evolution, adaptation and breed formation. Chinese indigenous cattle breeds exhibit a broad geographical distribution and diverse environmental adaptability. Here, we analyzed the population structure and adaptation to hi...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yaran, Hu, Yan, Wang, Xiuge, Jiang, Qiang, Zhao, Han, Wang, Jinpeng, Ju, Zhihua, Yang, Liguo, Gao, Yaping, Wei, Xiaochao, Bai, Jiachen, Zhou, Yang, Huang, Jinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033542/
https://www.ncbi.nlm.nih.gov/pubmed/32117428
http://dx.doi.org/10.3389/fgene.2019.01404
_version_ 1783499691811405824
author Zhang, Yaran
Hu, Yan
Wang, Xiuge
Jiang, Qiang
Zhao, Han
Wang, Jinpeng
Ju, Zhihua
Yang, Liguo
Gao, Yaping
Wei, Xiaochao
Bai, Jiachen
Zhou, Yang
Huang, Jinming
author_facet Zhang, Yaran
Hu, Yan
Wang, Xiuge
Jiang, Qiang
Zhao, Han
Wang, Jinpeng
Ju, Zhihua
Yang, Liguo
Gao, Yaping
Wei, Xiaochao
Bai, Jiachen
Zhou, Yang
Huang, Jinming
author_sort Zhang, Yaran
collection PubMed
description Copy number variations (CNVs) have been demonstrated as crucial substrates for evolution, adaptation and breed formation. Chinese indigenous cattle breeds exhibit a broad geographical distribution and diverse environmental adaptability. Here, we analyzed the population structure and adaptation to high altitude of Chinese indigenous cattle based on genome-wide CNVs derived from the high-density BovineHD SNP array. We successfully detected the genome-wide CNVs of 318 individuals from 24 Chinese indigenous cattle breeds and 37 yaks as outgroups. A total of 5,818 autosomal CNV regions (683 bp–4,477,860 bp in size), covering ~14.34% of the bovine genome (UMD3.1), were identified, showing abundant CNV resources. Neighbor-joining clustering, principal component analysis (PCA), and population admixture analysis based on these CNVs support that most Chinese cattle breeds are hybrids of Bos taurus taurus (hereinafter to be referred as Bos taurus) and Bos taurus indicus (Bos indicus). The distribution patterns of the CNVs could to some extent be related to the geographical backgrounds of the habitat of the breeds, and admixture among cattle breeds from different districts. We analyzed the selective signatures of CNVs positively involved in high-altitude adaptation using pairwise Fst analysis within breeds with a strong Bos taurus background (taurine-type breeds) and within Bos taurus×Bos indicus hybrids, respectively. CNV-overlapping genes with strong selection signatures (at top 0.5% of Fst value), including LETM1 (Fst = 0.490), TXNRD2 (Fst = 0.440), and STUB1 (Fst = 0.420) within taurine-type breeds, and NOXA1 (Fst = 0.233), RUVBL1 (Fst = 0.222), and SLC4A3 (Fst=0.154) within hybrids, were potentially involved in the adaptation to hypoxia. Thus, we provide a new profile of population structure from the CNV aspects of Chinese indigenous cattle and new insights into high-altitude adaptation in cattle.
format Online
Article
Text
id pubmed-7033542
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-70335422020-02-28 Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle Zhang, Yaran Hu, Yan Wang, Xiuge Jiang, Qiang Zhao, Han Wang, Jinpeng Ju, Zhihua Yang, Liguo Gao, Yaping Wei, Xiaochao Bai, Jiachen Zhou, Yang Huang, Jinming Front Genet Genetics Copy number variations (CNVs) have been demonstrated as crucial substrates for evolution, adaptation and breed formation. Chinese indigenous cattle breeds exhibit a broad geographical distribution and diverse environmental adaptability. Here, we analyzed the population structure and adaptation to high altitude of Chinese indigenous cattle based on genome-wide CNVs derived from the high-density BovineHD SNP array. We successfully detected the genome-wide CNVs of 318 individuals from 24 Chinese indigenous cattle breeds and 37 yaks as outgroups. A total of 5,818 autosomal CNV regions (683 bp–4,477,860 bp in size), covering ~14.34% of the bovine genome (UMD3.1), were identified, showing abundant CNV resources. Neighbor-joining clustering, principal component analysis (PCA), and population admixture analysis based on these CNVs support that most Chinese cattle breeds are hybrids of Bos taurus taurus (hereinafter to be referred as Bos taurus) and Bos taurus indicus (Bos indicus). The distribution patterns of the CNVs could to some extent be related to the geographical backgrounds of the habitat of the breeds, and admixture among cattle breeds from different districts. We analyzed the selective signatures of CNVs positively involved in high-altitude adaptation using pairwise Fst analysis within breeds with a strong Bos taurus background (taurine-type breeds) and within Bos taurus×Bos indicus hybrids, respectively. CNV-overlapping genes with strong selection signatures (at top 0.5% of Fst value), including LETM1 (Fst = 0.490), TXNRD2 (Fst = 0.440), and STUB1 (Fst = 0.420) within taurine-type breeds, and NOXA1 (Fst = 0.233), RUVBL1 (Fst = 0.222), and SLC4A3 (Fst=0.154) within hybrids, were potentially involved in the adaptation to hypoxia. Thus, we provide a new profile of population structure from the CNV aspects of Chinese indigenous cattle and new insights into high-altitude adaptation in cattle. Frontiers Media S.A. 2020-02-14 /pmc/articles/PMC7033542/ /pubmed/32117428 http://dx.doi.org/10.3389/fgene.2019.01404 Text en Copyright © 2020 Zhang, Hu, Wang, Jiang, Zhao, Wang, Ju, Yang, Gao, Wei, Bai, Zhou and Huang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Zhang, Yaran
Hu, Yan
Wang, Xiuge
Jiang, Qiang
Zhao, Han
Wang, Jinpeng
Ju, Zhihua
Yang, Liguo
Gao, Yaping
Wei, Xiaochao
Bai, Jiachen
Zhou, Yang
Huang, Jinming
Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
title Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
title_full Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
title_fullStr Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
title_full_unstemmed Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
title_short Population Structure, and Selection Signatures Underlying High-Altitude Adaptation Inferred From Genome-Wide Copy Number Variations in Chinese Indigenous Cattle
title_sort population structure, and selection signatures underlying high-altitude adaptation inferred from genome-wide copy number variations in chinese indigenous cattle
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033542/
https://www.ncbi.nlm.nih.gov/pubmed/32117428
http://dx.doi.org/10.3389/fgene.2019.01404
work_keys_str_mv AT zhangyaran populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT huyan populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT wangxiuge populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT jiangqiang populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT zhaohan populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT wangjinpeng populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT juzhihua populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT yangliguo populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT gaoyaping populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT weixiaochao populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT baijiachen populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT zhouyang populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle
AT huangjinming populationstructureandselectionsignaturesunderlyinghighaltitudeadaptationinferredfromgenomewidecopynumbervariationsinchineseindigenouscattle