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Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs
Growth rate plays a critical role in the pig industry and is related to quantitative traits controlled by many genes. Here, we aimed to identify causative mutations and candidate genes responsible for pig growth traits. In this study, 2360 Duroc pigs were used to detect significant additive, dominan...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407794/ https://www.ncbi.nlm.nih.gov/pubmed/36011365 http://dx.doi.org/10.3390/genes13081454 |
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author | Xue, Yahui Liu, Shen Li, Weining Mao, Ruihan Zhuo, Yue Xing, Wenkai Liu, Jian Wang, Chuang Zhou, Lei Lei, Minggang Liu, Jianfeng |
author_facet | Xue, Yahui Liu, Shen Li, Weining Mao, Ruihan Zhuo, Yue Xing, Wenkai Liu, Jian Wang, Chuang Zhou, Lei Lei, Minggang Liu, Jianfeng |
author_sort | Xue, Yahui |
collection | PubMed |
description | Growth rate plays a critical role in the pig industry and is related to quantitative traits controlled by many genes. Here, we aimed to identify causative mutations and candidate genes responsible for pig growth traits. In this study, 2360 Duroc pigs were used to detect significant additive, dominance, and epistatic effects associated with growth traits. As a result, a total number of 32 significant SNPs for additive or dominance effects were found to be associated with various factors, including adjusted age at a specified weight (AGE), average daily gain (ADG), backfat thickness (BF), and loin muscle depth (LMD). In addition, the detected additive significant SNPs explained 2.49%, 3.02%, 3.18%, and 1.96% of the deregressed estimated breeding value (DEBV) variance for AGE, ADG, BF, and LMD, respectively, while significant dominance SNPs could explain 2.24%, 13.26%, and 4.08% of AGE, BF, and LMD, respectively. Meanwhile, a total of 805 significant epistatic effects SNPs were associated with one of ADG, AGE, and LMD, from which 11 sub-networks were constructed. In total, 46 potential genes involved in muscle development, fat deposition, and regulation of cell growth were considered as candidates for growth traits, including CD55 and NRIP1 for AGE and ADG, TRIP11 and MIS2 for BF, and VRTN and ZEB2 for LMD, respectively. Generally, in this study, we detected both new and reported variants and potential candidate genes for growth traits of Duroc pigs, which might to be taken into account in future molecular breeding programs to improve the growth performance of pigs. |
format | Online Article Text |
id | pubmed-9407794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94077942022-08-26 Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs Xue, Yahui Liu, Shen Li, Weining Mao, Ruihan Zhuo, Yue Xing, Wenkai Liu, Jian Wang, Chuang Zhou, Lei Lei, Minggang Liu, Jianfeng Genes (Basel) Article Growth rate plays a critical role in the pig industry and is related to quantitative traits controlled by many genes. Here, we aimed to identify causative mutations and candidate genes responsible for pig growth traits. In this study, 2360 Duroc pigs were used to detect significant additive, dominance, and epistatic effects associated with growth traits. As a result, a total number of 32 significant SNPs for additive or dominance effects were found to be associated with various factors, including adjusted age at a specified weight (AGE), average daily gain (ADG), backfat thickness (BF), and loin muscle depth (LMD). In addition, the detected additive significant SNPs explained 2.49%, 3.02%, 3.18%, and 1.96% of the deregressed estimated breeding value (DEBV) variance for AGE, ADG, BF, and LMD, respectively, while significant dominance SNPs could explain 2.24%, 13.26%, and 4.08% of AGE, BF, and LMD, respectively. Meanwhile, a total of 805 significant epistatic effects SNPs were associated with one of ADG, AGE, and LMD, from which 11 sub-networks were constructed. In total, 46 potential genes involved in muscle development, fat deposition, and regulation of cell growth were considered as candidates for growth traits, including CD55 and NRIP1 for AGE and ADG, TRIP11 and MIS2 for BF, and VRTN and ZEB2 for LMD, respectively. Generally, in this study, we detected both new and reported variants and potential candidate genes for growth traits of Duroc pigs, which might to be taken into account in future molecular breeding programs to improve the growth performance of pigs. MDPI 2022-08-16 /pmc/articles/PMC9407794/ /pubmed/36011365 http://dx.doi.org/10.3390/genes13081454 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xue, Yahui Liu, Shen Li, Weining Mao, Ruihan Zhuo, Yue Xing, Wenkai Liu, Jian Wang, Chuang Zhou, Lei Lei, Minggang Liu, Jianfeng Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs |
title | Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs |
title_full | Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs |
title_fullStr | Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs |
title_full_unstemmed | Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs |
title_short | Genome-Wide Association Study Reveals Additive and Non-Additive Effects on Growth Traits in Duroc Pigs |
title_sort | genome-wide association study reveals additive and non-additive effects on growth traits in duroc pigs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407794/ https://www.ncbi.nlm.nih.gov/pubmed/36011365 http://dx.doi.org/10.3390/genes13081454 |
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