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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7835741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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