Cargando…
Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study
Albumen quality is a leading economic trait in the chicken industry. Major studies have paid attention to genetic architecture underlying albumen quality. However, the putative quantitative trait locus (QTL) for this trait is still unclear. In this genome-wide association study, we used an [Formula:...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Copernicus GmbH
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853030/ https://www.ncbi.nlm.nih.gov/pubmed/31807621 http://dx.doi.org/10.5194/aab-62-113-2019 |
_version_ | 1783469970916638720 |
---|---|
author | Qu, Liang Shen, Manman Guo, Jun Wang, Xingguo Dou, Taocun Hu, Yuping Li, Yongfeng Ma, Meng Wang, Kehua Liu, Honglin |
author_facet | Qu, Liang Shen, Manman Guo, Jun Wang, Xingguo Dou, Taocun Hu, Yuping Li, Yongfeng Ma, Meng Wang, Kehua Liu, Honglin |
author_sort | Qu, Liang |
collection | PubMed |
description | Albumen quality is a leading economic trait in the chicken industry. Major studies have paid attention to genetic architecture underlying albumen quality. However, the putative quantitative trait locus (QTL) for this trait is still unclear. In this genome-wide association study, we used an [Formula: see text] resource population to study longitudinal albumen quality. Seven single-nucleotide polymorphism (SNP) loci were found to be significantly ([Formula: see text]) related to albumen quality by univariate analysis, while 11 SNPs were significantly ([Formula: see text]) associated with albumen quality by multivariate analysis. A QTL on GGA4 had a pervasive function on albumen quality, including a SNP at the missense of NCAPG, and a SNP at the intergenic region of FGFPB1. It was further found that the putative QTLs at GGA1, GGA2, and GGA7 had the strongest effects on albumen height (AH) at 32 weeks, Haugh units (HU) at 44 weeks, and AH at 55 weeks. Moreover, novel SNPs on GGA5 and GGA3 were associated with AH and HU at 32, 44, and 48 weeks of age. These results confirmed the regions for egg weight that were detected in a previous study and were similar with QTL for albumen quality. These results showed that GGA4 had the strongest effect on albumen quality. Only a few significant loci were detected for most characteristics probably reflecting the attributes of a pleiotropic gene and a minor-polygene in quantitative traits. |
format | Online Article Text |
id | pubmed-6853030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Copernicus GmbH |
record_format | MEDLINE/PubMed |
spelling | pubmed-68530302019-11-26 Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study Qu, Liang Shen, Manman Guo, Jun Wang, Xingguo Dou, Taocun Hu, Yuping Li, Yongfeng Ma, Meng Wang, Kehua Liu, Honglin Arch Anim Breed Original Study Albumen quality is a leading economic trait in the chicken industry. Major studies have paid attention to genetic architecture underlying albumen quality. However, the putative quantitative trait locus (QTL) for this trait is still unclear. In this genome-wide association study, we used an [Formula: see text] resource population to study longitudinal albumen quality. Seven single-nucleotide polymorphism (SNP) loci were found to be significantly ([Formula: see text]) related to albumen quality by univariate analysis, while 11 SNPs were significantly ([Formula: see text]) associated with albumen quality by multivariate analysis. A QTL on GGA4 had a pervasive function on albumen quality, including a SNP at the missense of NCAPG, and a SNP at the intergenic region of FGFPB1. It was further found that the putative QTLs at GGA1, GGA2, and GGA7 had the strongest effects on albumen height (AH) at 32 weeks, Haugh units (HU) at 44 weeks, and AH at 55 weeks. Moreover, novel SNPs on GGA5 and GGA3 were associated with AH and HU at 32, 44, and 48 weeks of age. These results confirmed the regions for egg weight that were detected in a previous study and were similar with QTL for albumen quality. These results showed that GGA4 had the strongest effect on albumen quality. Only a few significant loci were detected for most characteristics probably reflecting the attributes of a pleiotropic gene and a minor-polygene in quantitative traits. Copernicus GmbH 2019-03-25 /pmc/articles/PMC6853030/ /pubmed/31807621 http://dx.doi.org/10.5194/aab-62-113-2019 Text en Copyright: © 2019 Liang Qu et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Original Study Qu, Liang Shen, Manman Guo, Jun Wang, Xingguo Dou, Taocun Hu, Yuping Li, Yongfeng Ma, Meng Wang, Kehua Liu, Honglin Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
title | Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
title_full | Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
title_fullStr | Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
title_full_unstemmed | Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
title_short | Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
title_sort | identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study |
topic | Original Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853030/ https://www.ncbi.nlm.nih.gov/pubmed/31807621 http://dx.doi.org/10.5194/aab-62-113-2019 |
work_keys_str_mv | AT quliang identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT shenmanman identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT guojun identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT wangxingguo identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT doutaocun identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT huyuping identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT liyongfeng identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT mameng identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT wangkehua identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy AT liuhonglin identificationofpotentialgenomicregionsandcandidategenesforeggalbumenqualitybyagenomewideassociationstudy |