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Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing

OBJECTIVE: The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genet...

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Autores principales: Liu, Dengying, Chen, Zhenliang, Zhang, Zhe, Sun, Hao, Ma, Peipei, Zhu, Kai, Liu, Guanglei, Wang, Qishan, Pan, Yuchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409473/
https://www.ncbi.nlm.nih.gov/pubmed/30056674
http://dx.doi.org/10.5713/ajas.18.0204
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author Liu, Dengying
Chen, Zhenliang
Zhang, Zhe
Sun, Hao
Ma, Peipei
Zhu, Kai
Liu, Guanglei
Wang, Qishan
Pan, Yuchun
author_facet Liu, Dengying
Chen, Zhenliang
Zhang, Zhe
Sun, Hao
Ma, Peipei
Zhu, Kai
Liu, Guanglei
Wang, Qishan
Pan, Yuchun
author_sort Liu, Dengying
collection PubMed
description OBJECTIVE: The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction. METHODS: In our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA). RESULTS: The average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle. CONCLUSION: Structural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience.
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spelling pubmed-64094732019-03-15 Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing Liu, Dengying Chen, Zhenliang Zhang, Zhe Sun, Hao Ma, Peipei Zhu, Kai Liu, Guanglei Wang, Qishan Pan, Yuchun Asian-Australas J Anim Sci Article OBJECTIVE: The Shanghai Holstein cattle breed is susceptible to severe mastitis and other diseases due to the hot weather and long-term humidity in Shanghai, which is the main distribution centre for providing Holstein semen to various farms throughout China. Our objective was to determine the genetic mechanisms influencing economically important traits, especially diseases that have huge impact on the yield and quality of milk as well as reproduction. METHODS: In our study, we detected the structural variations of 1,092 Shanghai Holstein cows by using next-generation sequencing. We used the DELLY software to identify deletions and insertions, cn.MOPS to identify copy-number variants (CNVs). Furthermore, we annotated these structural variations using different bioinformatics tools, such as gene ontology, cattle quantitative trait locus (QTL) database and ingenuity pathway analysis (IPA). RESULTS: The average number of high-quality reads was 3,046,279. After filtering, a total of 16,831 deletions, 12,735 insertions and 490 CNVs were identified. The annotation results showed that these mapped genes were significantly enriched for specific biological functions, such as disease and reproduction. In addition, the enrichment results based on the cattle QTL database showed that the number of variants related to milk and reproduction was higher than the number of variants related to other traits. IPA core analysis found that the structural variations were related to reproduction, lipid metabolism, and inflammation. According to the functional analysis, structural variations were important factors affecting the variation of different traits in Shanghai Holstein cattle. Our results provide meaningful information about structural variations, which may be useful in future assessments of the associations between variations and important phenotypes in Shanghai Holstein cattle. CONCLUSION: Structural variations identified in this study were extremely different from those of previous studies. Many structural variations were found to be associated with mastitis and reproductive system diseases; these results are in accordance with the characteristics of the environment that Shanghai Holstein cattle experience. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2019-03 2018-07-26 /pmc/articles/PMC6409473/ /pubmed/30056674 http://dx.doi.org/10.5713/ajas.18.0204 Text en Copyright © 2019 by Asian-Australasian Journal of Animal Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Liu, Dengying
Chen, Zhenliang
Zhang, Zhe
Sun, Hao
Ma, Peipei
Zhu, Kai
Liu, Guanglei
Wang, Qishan
Pan, Yuchun
Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
title Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
title_full Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
title_fullStr Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
title_full_unstemmed Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
title_short Detection of genome-wide structural variations in the Shanghai Holstein cattle population using next-generation sequencing
title_sort detection of genome-wide structural variations in the shanghai holstein cattle population using next-generation sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409473/
https://www.ncbi.nlm.nih.gov/pubmed/30056674
http://dx.doi.org/10.5713/ajas.18.0204
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