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Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population

Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candida...

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Autores principales: Ruan, Donglin, Zhuang, Zhanwei, Ding, Rongrong, Qiu, Yibin, Zhou, Shenping, Wu, Jie, Xu, Cineng, Hong, Linjun, Huang, Sixiu, Zheng, Enqin, Cai, Gengyuan, Wu, Zhenfang, Yang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835741/
https://www.ncbi.nlm.nih.gov/pubmed/33477978
http://dx.doi.org/10.3390/genes12010117
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author Ruan, Donglin
Zhuang, Zhanwei
Ding, Rongrong
Qiu, Yibin
Zhou, Shenping
Wu, Jie
Xu, Cineng
Hong, Linjun
Huang, Sixiu
Zheng, Enqin
Cai, Gengyuan
Wu, Zhenfang
Yang, Jie
author_facet Ruan, Donglin
Zhuang, Zhanwei
Ding, Rongrong
Qiu, Yibin
Zhou, Shenping
Wu, Jie
Xu, Cineng
Hong, Linjun
Huang, Sixiu
Zheng, Enqin
Cai, Gengyuan
Wu, Zhenfang
Yang, Jie
author_sort Ruan, Donglin
collection PubMed
description Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candidate genes that are associated with days to 100 kg (AGE), average daily gain (ADG), backfat thickness (BF) and lean meat percentage (LMP) in a Duroc pig population. In this study, 3945 individuals with phenotypic and genealogical information, of which 2084 pigs were genotyped with a 50 K single-nucleotide polymorphism (SNP) array, were used for association analyses. We found that the most significant regions explained 2.56–3.07% of genetic variance for four traits, and the detected significant regions (>1%) explained 17.07%, 18.59%, 23.87% and 21.94% for four traits. Finally, 21 genes that have been reported to be associated with metabolism, bone growth, and fat deposition were treated as candidate genes for growth traits in pigs. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses implied that the identified genes took part in bone formation, the immune system, and digestion. In conclusion, such full use of phenotypic, genotypic, and genealogical information will accelerate the genetic improvement of growth traits in pigs.
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spelling pubmed-78357412021-01-27 Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population Ruan, Donglin Zhuang, Zhanwei Ding, Rongrong Qiu, Yibin Zhou, Shenping Wu, Jie Xu, Cineng Hong, Linjun Huang, Sixiu Zheng, Enqin Cai, Gengyuan Wu, Zhenfang Yang, Jie Genes (Basel) Article Growth traits are important economic traits of pigs that are controlled by several major genes and multiple minor genes. To better understand the genetic architecture of growth traits, we performed a weighted single-step genome-wide association study (wssGWAS) to identify genomic regions and candidate genes that are associated with days to 100 kg (AGE), average daily gain (ADG), backfat thickness (BF) and lean meat percentage (LMP) in a Duroc pig population. In this study, 3945 individuals with phenotypic and genealogical information, of which 2084 pigs were genotyped with a 50 K single-nucleotide polymorphism (SNP) array, were used for association analyses. We found that the most significant regions explained 2.56–3.07% of genetic variance for four traits, and the detected significant regions (>1%) explained 17.07%, 18.59%, 23.87% and 21.94% for four traits. Finally, 21 genes that have been reported to be associated with metabolism, bone growth, and fat deposition were treated as candidate genes for growth traits in pigs. Moreover, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses implied that the identified genes took part in bone formation, the immune system, and digestion. In conclusion, such full use of phenotypic, genotypic, and genealogical information will accelerate the genetic improvement of growth traits in pigs. MDPI 2021-01-19 /pmc/articles/PMC7835741/ /pubmed/33477978 http://dx.doi.org/10.3390/genes12010117 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ruan, Donglin
Zhuang, Zhanwei
Ding, Rongrong
Qiu, Yibin
Zhou, Shenping
Wu, Jie
Xu, Cineng
Hong, Linjun
Huang, Sixiu
Zheng, Enqin
Cai, Gengyuan
Wu, Zhenfang
Yang, Jie
Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
title Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
title_full Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
title_fullStr Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
title_full_unstemmed Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
title_short Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
title_sort weighted single-step gwas identified candidate genes associated with growth traits in a duroc pig population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835741/
https://www.ncbi.nlm.nih.gov/pubmed/33477978
http://dx.doi.org/10.3390/genes12010117
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