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Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays

Chinese indigenous sheep can be classified into three types based on tail morphology: fat-tailed, fat-rumped, and thin-tailed sheep, of which the typical breeds are large-tailed Han sheep, Altay sheep, and Tibetan sheep, respectively. To unravel the genetic mechanisms underlying the phenotypic diffe...

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Autores principales: Zhu, Caiye, Fan, Hongying, Yuan, Zehu, Hu, Shijin, Ma, Xiaomeng, Xuan, Junli, Wang, Hongwei, Zhang, Li, Wei, Caihong, Zhang, Qin, Zhao, Fuping, Du, Lixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901276/
https://www.ncbi.nlm.nih.gov/pubmed/27282145
http://dx.doi.org/10.1038/srep27822
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author Zhu, Caiye
Fan, Hongying
Yuan, Zehu
Hu, Shijin
Ma, Xiaomeng
Xuan, Junli
Wang, Hongwei
Zhang, Li
Wei, Caihong
Zhang, Qin
Zhao, Fuping
Du, Lixin
author_facet Zhu, Caiye
Fan, Hongying
Yuan, Zehu
Hu, Shijin
Ma, Xiaomeng
Xuan, Junli
Wang, Hongwei
Zhang, Li
Wei, Caihong
Zhang, Qin
Zhao, Fuping
Du, Lixin
author_sort Zhu, Caiye
collection PubMed
description Chinese indigenous sheep can be classified into three types based on tail morphology: fat-tailed, fat-rumped, and thin-tailed sheep, of which the typical breeds are large-tailed Han sheep, Altay sheep, and Tibetan sheep, respectively. To unravel the genetic mechanisms underlying the phenotypic differences among Chinese indigenous sheep with tails of three different types, we used ovine high-density 600K SNP arrays to detect genome-wide copy number variation (CNV). In large-tailed Han sheep, Altay sheep, and Tibetan sheep, 371, 301, and 66 CNV regions (CNVRs) with lengths of 71.35 Mb, 51.65 Mb, and 10.56 Mb, respectively, were identified on autosomal chromosomes. Ten CNVRs were randomly chosen for confirmation, of which eight were successfully validated. The detected CNVRs harboured 3130 genes, including genes associated with fat deposition, such as PPARA, RXRA, KLF11, ADD1, FASN, PPP1CA, PDGFA, and PEX6. Moreover, multilevel bioinformatics analyses of the detected candidate genes were significantly enriched for involvement in fat deposition, GTPase regulator, and peptide receptor activities. This is the first high-resolution sheep CNV map for Chinese indigenous sheep breeds with three types of tails. Our results provide valuable information that will support investigations of genomic structural variation underlying traits of interest in sheep.
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spelling pubmed-49012762016-06-13 Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays Zhu, Caiye Fan, Hongying Yuan, Zehu Hu, Shijin Ma, Xiaomeng Xuan, Junli Wang, Hongwei Zhang, Li Wei, Caihong Zhang, Qin Zhao, Fuping Du, Lixin Sci Rep Article Chinese indigenous sheep can be classified into three types based on tail morphology: fat-tailed, fat-rumped, and thin-tailed sheep, of which the typical breeds are large-tailed Han sheep, Altay sheep, and Tibetan sheep, respectively. To unravel the genetic mechanisms underlying the phenotypic differences among Chinese indigenous sheep with tails of three different types, we used ovine high-density 600K SNP arrays to detect genome-wide copy number variation (CNV). In large-tailed Han sheep, Altay sheep, and Tibetan sheep, 371, 301, and 66 CNV regions (CNVRs) with lengths of 71.35 Mb, 51.65 Mb, and 10.56 Mb, respectively, were identified on autosomal chromosomes. Ten CNVRs were randomly chosen for confirmation, of which eight were successfully validated. The detected CNVRs harboured 3130 genes, including genes associated with fat deposition, such as PPARA, RXRA, KLF11, ADD1, FASN, PPP1CA, PDGFA, and PEX6. Moreover, multilevel bioinformatics analyses of the detected candidate genes were significantly enriched for involvement in fat deposition, GTPase regulator, and peptide receptor activities. This is the first high-resolution sheep CNV map for Chinese indigenous sheep breeds with three types of tails. Our results provide valuable information that will support investigations of genomic structural variation underlying traits of interest in sheep. Nature Publishing Group 2016-06-10 /pmc/articles/PMC4901276/ /pubmed/27282145 http://dx.doi.org/10.1038/srep27822 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhu, Caiye
Fan, Hongying
Yuan, Zehu
Hu, Shijin
Ma, Xiaomeng
Xuan, Junli
Wang, Hongwei
Zhang, Li
Wei, Caihong
Zhang, Qin
Zhao, Fuping
Du, Lixin
Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays
title Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays
title_full Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays
title_fullStr Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays
title_full_unstemmed Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays
title_short Genome-wide detection of CNVs in Chinese indigenous sheep with different types of tails using ovine high-density 600K SNP arrays
title_sort genome-wide detection of cnvs in chinese indigenous sheep with different types of tails using ovine high-density 600k snp arrays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901276/
https://www.ncbi.nlm.nih.gov/pubmed/27282145
http://dx.doi.org/10.1038/srep27822
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