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Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle
Bone weight is critical to affect body conformation and stature in cattle. In this study, we conducted a genome-wide association study for bone weight in Chinese Simmental beef cattle based on the imputed sequence variants. We identified 364 variants associated with bone weight, while 350 of them we...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667311/ https://www.ncbi.nlm.nih.gov/pubmed/34912371 http://dx.doi.org/10.3389/fgene.2021.750746 |
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author | Niu, Qunhao Zhang, Tianliu Xu, Ling Wang, Tianzhen Wang, Zezhao Zhu, Bo Gao, Xue Chen, Yan Zhang, Lupei Gao, Huijiang Li, Junya Xu, Lingyang |
author_facet | Niu, Qunhao Zhang, Tianliu Xu, Ling Wang, Tianzhen Wang, Zezhao Zhu, Bo Gao, Xue Chen, Yan Zhang, Lupei Gao, Huijiang Li, Junya Xu, Lingyang |
author_sort | Niu, Qunhao |
collection | PubMed |
description | Bone weight is critical to affect body conformation and stature in cattle. In this study, we conducted a genome-wide association study for bone weight in Chinese Simmental beef cattle based on the imputed sequence variants. We identified 364 variants associated with bone weight, while 350 of them were not included in the Illumina BovineHD SNP array, and several candidate genes and GO terms were captured to be associated with bone weight. Remarkably, we identified four potential variants in a candidate region on BTA6 using Bayesian fine-mapping. Several important candidate genes were captured, including LAP3, MED28, NCAPG, LCORL, SLIT2, and IBSP, which have been previously reported to be associated with carcass traits, body measurements, and growth traits. Notably, we found that the transcription factors related to MED28 and LCORL showed high conservation across multiple species. Our findings provide some valuable information for understanding the genetic basis of body stature in beef cattle. |
format | Online Article Text |
id | pubmed-8667311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86673112021-12-14 Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle Niu, Qunhao Zhang, Tianliu Xu, Ling Wang, Tianzhen Wang, Zezhao Zhu, Bo Gao, Xue Chen, Yan Zhang, Lupei Gao, Huijiang Li, Junya Xu, Lingyang Front Genet Genetics Bone weight is critical to affect body conformation and stature in cattle. In this study, we conducted a genome-wide association study for bone weight in Chinese Simmental beef cattle based on the imputed sequence variants. We identified 364 variants associated with bone weight, while 350 of them were not included in the Illumina BovineHD SNP array, and several candidate genes and GO terms were captured to be associated with bone weight. Remarkably, we identified four potential variants in a candidate region on BTA6 using Bayesian fine-mapping. Several important candidate genes were captured, including LAP3, MED28, NCAPG, LCORL, SLIT2, and IBSP, which have been previously reported to be associated with carcass traits, body measurements, and growth traits. Notably, we found that the transcription factors related to MED28 and LCORL showed high conservation across multiple species. Our findings provide some valuable information for understanding the genetic basis of body stature in beef cattle. Frontiers Media S.A. 2021-11-29 /pmc/articles/PMC8667311/ /pubmed/34912371 http://dx.doi.org/10.3389/fgene.2021.750746 Text en Copyright © 2021 Niu, Zhang, Xu, Wang, Wang, Zhu, Gao, Chen, Zhang, Gao, Li and Xu. https://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 Niu, Qunhao Zhang, Tianliu Xu, Ling Wang, Tianzhen Wang, Zezhao Zhu, Bo Gao, Xue Chen, Yan Zhang, Lupei Gao, Huijiang Li, Junya Xu, Lingyang Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle |
title | Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle |
title_full | Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle |
title_fullStr | Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle |
title_full_unstemmed | Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle |
title_short | Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle |
title_sort | identification of candidate variants associated with bone weight using whole genome sequence in beef cattle |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667311/ https://www.ncbi.nlm.nih.gov/pubmed/34912371 http://dx.doi.org/10.3389/fgene.2021.750746 |
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