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Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs
In past decades, meat quality traits have been shaped by human-driven selection in the process of genetic improvement programs. Exploring the potential genetic basis of artificial selection and mapping functional candidate genes for economic traits are of great significance in genetic improvement of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635012/ https://www.ncbi.nlm.nih.gov/pubmed/34868241 http://dx.doi.org/10.3389/fgene.2021.761252 |
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author | Shen, Yu Wang, Haiyan Xie, Jiahao Wang, Zixuan Ma, Yunlong |
author_facet | Shen, Yu Wang, Haiyan Xie, Jiahao Wang, Zixuan Ma, Yunlong |
author_sort | Shen, Yu |
collection | PubMed |
description | In past decades, meat quality traits have been shaped by human-driven selection in the process of genetic improvement programs. Exploring the potential genetic basis of artificial selection and mapping functional candidate genes for economic traits are of great significance in genetic improvement of pigs. In this study, we focus on investigating the genetic basis of five meat quality traits, including intramuscular fat content (IMF), drip loss, water binding capacity, pH at 45 min (pH45min), and ultimate pH (pH24h). Through making phenotypic gradient differential population pairs, Wright’s fixation index (F(ST)) and the cross-population extended haplotype homozogysity (XPEHH) were applied to detect selection signatures for these five traits. Finally, a total of 427 and 307 trait-specific selection signatures were revealed by F(ST) and XPEHH, respectively. Further bioinformatics analysis indicates that some genes, such as USF1, NDUFS2, PIGM, IGSF8, CASQ1, and ACBD6, overlapping with the trait-specific selection signatures are responsible for the phenotypes including fat metabolism and muscle development. Among them, a series of promising trait-specific selection signatures that were detected in the high IMF subpopulation are located in the region of 93544042-95179724bp on SSC4, and the genes harboring in this region are all related to lipids and muscle development. Overall, these candidate genes of meat quality traits identified in this analysis may provide some fundamental information for further exploring the genetic basis of this complex trait. |
format | Online Article Text |
id | pubmed-8635012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86350122021-12-02 Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs Shen, Yu Wang, Haiyan Xie, Jiahao Wang, Zixuan Ma, Yunlong Front Genet Genetics In past decades, meat quality traits have been shaped by human-driven selection in the process of genetic improvement programs. Exploring the potential genetic basis of artificial selection and mapping functional candidate genes for economic traits are of great significance in genetic improvement of pigs. In this study, we focus on investigating the genetic basis of five meat quality traits, including intramuscular fat content (IMF), drip loss, water binding capacity, pH at 45 min (pH45min), and ultimate pH (pH24h). Through making phenotypic gradient differential population pairs, Wright’s fixation index (F(ST)) and the cross-population extended haplotype homozogysity (XPEHH) were applied to detect selection signatures for these five traits. Finally, a total of 427 and 307 trait-specific selection signatures were revealed by F(ST) and XPEHH, respectively. Further bioinformatics analysis indicates that some genes, such as USF1, NDUFS2, PIGM, IGSF8, CASQ1, and ACBD6, overlapping with the trait-specific selection signatures are responsible for the phenotypes including fat metabolism and muscle development. Among them, a series of promising trait-specific selection signatures that were detected in the high IMF subpopulation are located in the region of 93544042-95179724bp on SSC4, and the genes harboring in this region are all related to lipids and muscle development. Overall, these candidate genes of meat quality traits identified in this analysis may provide some fundamental information for further exploring the genetic basis of this complex trait. Frontiers Media S.A. 2021-11-16 /pmc/articles/PMC8635012/ /pubmed/34868241 http://dx.doi.org/10.3389/fgene.2021.761252 Text en Copyright © 2021 Shen, Wang, Xie, Wang and Ma. 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 Shen, Yu Wang, Haiyan Xie, Jiahao Wang, Zixuan Ma, Yunlong Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs |
title | Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs |
title_full | Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs |
title_fullStr | Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs |
title_full_unstemmed | Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs |
title_short | Trait-specific Selection Signature Detection Reveals Novel Loci of Meat Quality in Large White Pigs |
title_sort | trait-specific selection signature detection reveals novel loci of meat quality in large white pigs |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635012/ https://www.ncbi.nlm.nih.gov/pubmed/34868241 http://dx.doi.org/10.3389/fgene.2021.761252 |
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