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Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data

BACKGROUND: Crossbreeding is an important way to improve production beef cattle performance. Pinan cattle is a new hybrid cattle obtained from crossing Piedmontese bulls with Nanyang cows. After more than 30 years of cross-breeding, Pinan cattle show a variety of excellent characteristics, including...

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Autores principales: Zhang, Shunjin, Yao, Zhi, Li, Xinmiao, Zhang, Zijing, Liu, Xian, Yang, Peng, Chen, Ningbo, Xia, Xiaoting, Lyu, Shijie, Shi, Qiaoting, Wang, Eryao, Ru, Baorui, Jiang, Yu, Lei, Chuzhao, Chen, Hong, Huang, Yongzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215082/
https://www.ncbi.nlm.nih.gov/pubmed/35729510
http://dx.doi.org/10.1186/s12864-022-08645-y
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author Zhang, Shunjin
Yao, Zhi
Li, Xinmiao
Zhang, Zijing
Liu, Xian
Yang, Peng
Chen, Ningbo
Xia, Xiaoting
Lyu, Shijie
Shi, Qiaoting
Wang, Eryao
Ru, Baorui
Jiang, Yu
Lei, Chuzhao
Chen, Hong
Huang, Yongzhen
author_facet Zhang, Shunjin
Yao, Zhi
Li, Xinmiao
Zhang, Zijing
Liu, Xian
Yang, Peng
Chen, Ningbo
Xia, Xiaoting
Lyu, Shijie
Shi, Qiaoting
Wang, Eryao
Ru, Baorui
Jiang, Yu
Lei, Chuzhao
Chen, Hong
Huang, Yongzhen
author_sort Zhang, Shunjin
collection PubMed
description BACKGROUND: Crossbreeding is an important way to improve production beef cattle performance. Pinan cattle is a new hybrid cattle obtained from crossing Piedmontese bulls with Nanyang cows. After more than 30 years of cross-breeding, Pinan cattle show a variety of excellent characteristics, including fast growth, early onset of puberty, and good meat quality. In this study, we analyzed the genetic diversity, population structure, and genomic region under the selection of Pinan cattle based on whole-genome sequencing data of 30 Pinan cattle and 169 published cattle genomic data worldwide.  RESULTS: Estimating ancestry composition analysis showed that the composition proportions for our Pinan cattle were mainly Piedmontese and a small amount of Nanyang cattle. The analyses of nucleotide diversity and linkage disequilibrium decay indicated that the genomic diversity of Pinan cattle was higher than that of European cattle and lower than that of Chinese indigenous cattle. De-correlated composite of multiple selection signals, which combines four different statistics including θπ, CLR, F(ST), and XP-EHH, was computed to detect the signatures of selection in the Pinan cattle genome. A total of 83 genes were identified, affecting many economically important traits. Functional annotation revealed that these selected genes were related to immune (BOLA-DQA2, BOLA-DQB, LSM14A, SEC13, and NAALADL2), growth traits (CYP4A11, RPL26, and MYH10), embryo development (REV3L, NT5E, CDX2, KDM6B, and ADAMTS9), hornless traits (C1H21orf62), and climate adaptation (ANTXR2). CONCLUSION: In this paper, we elucidated the genomic characteristics, ancestry composition, and selective signals related to important economic traits in Pinan cattle. These results will provide the basis for further genetic improvement of Pinan cattle and reference for other hybrid cattle related studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08645-y.
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spelling pubmed-92150822022-06-23 Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data Zhang, Shunjin Yao, Zhi Li, Xinmiao Zhang, Zijing Liu, Xian Yang, Peng Chen, Ningbo Xia, Xiaoting Lyu, Shijie Shi, Qiaoting Wang, Eryao Ru, Baorui Jiang, Yu Lei, Chuzhao Chen, Hong Huang, Yongzhen BMC Genomics Research BACKGROUND: Crossbreeding is an important way to improve production beef cattle performance. Pinan cattle is a new hybrid cattle obtained from crossing Piedmontese bulls with Nanyang cows. After more than 30 years of cross-breeding, Pinan cattle show a variety of excellent characteristics, including fast growth, early onset of puberty, and good meat quality. In this study, we analyzed the genetic diversity, population structure, and genomic region under the selection of Pinan cattle based on whole-genome sequencing data of 30 Pinan cattle and 169 published cattle genomic data worldwide.  RESULTS: Estimating ancestry composition analysis showed that the composition proportions for our Pinan cattle were mainly Piedmontese and a small amount of Nanyang cattle. The analyses of nucleotide diversity and linkage disequilibrium decay indicated that the genomic diversity of Pinan cattle was higher than that of European cattle and lower than that of Chinese indigenous cattle. De-correlated composite of multiple selection signals, which combines four different statistics including θπ, CLR, F(ST), and XP-EHH, was computed to detect the signatures of selection in the Pinan cattle genome. A total of 83 genes were identified, affecting many economically important traits. Functional annotation revealed that these selected genes were related to immune (BOLA-DQA2, BOLA-DQB, LSM14A, SEC13, and NAALADL2), growth traits (CYP4A11, RPL26, and MYH10), embryo development (REV3L, NT5E, CDX2, KDM6B, and ADAMTS9), hornless traits (C1H21orf62), and climate adaptation (ANTXR2). CONCLUSION: In this paper, we elucidated the genomic characteristics, ancestry composition, and selective signals related to important economic traits in Pinan cattle. These results will provide the basis for further genetic improvement of Pinan cattle and reference for other hybrid cattle related studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08645-y. BioMed Central 2022-06-21 /pmc/articles/PMC9215082/ /pubmed/35729510 http://dx.doi.org/10.1186/s12864-022-08645-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Shunjin
Yao, Zhi
Li, Xinmiao
Zhang, Zijing
Liu, Xian
Yang, Peng
Chen, Ningbo
Xia, Xiaoting
Lyu, Shijie
Shi, Qiaoting
Wang, Eryao
Ru, Baorui
Jiang, Yu
Lei, Chuzhao
Chen, Hong
Huang, Yongzhen
Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
title Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
title_full Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
title_fullStr Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
title_full_unstemmed Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
title_short Assessing genomic diversity and signatures of selection in Pinan cattle using whole-genome sequencing data
title_sort assessing genomic diversity and signatures of selection in pinan cattle using whole-genome sequencing data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215082/
https://www.ncbi.nlm.nih.gov/pubmed/35729510
http://dx.doi.org/10.1186/s12864-022-08645-y
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