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PMID: 29936586 Published · ppublish English Journal Article

Genome-wide association study on chicken carcass traits using sequence data imputed from SNP array.

Journal of applied genetics ·Vol. 59 ·No. 3 ·2018-08-00 ·页码 335-344

Huang S, He Y, Ye S, Wang J, Yuan X, Zhang H, Li J, Zhang X, Zhang Z

Abstract

Chicken carcass traits are economically important for the chicken industry. Detecting which genes affect chicken carcass traits is of great benefit to the genetic improvement of this important agricultural species. To investigate the genetic mechanism of carcass traits in chickens, we carried out a genome-wide association study (GWAS). A total of 435 Chinese indigenous chickens were phenotyped for carcass weight (CW), eviscerated weight with giblets (EWG), and eviscerated weight (EW) after slaughter at 91 days and were genotyped using a 600-K single nucleotide polymorphism (SNP) genotyping array. Twenty-four birds were selected for sequencing, and the 600 K SNP panel data were imputed to sequence data with the 24 birds as the reference. Univariate GWASs were performed with GEMMA software using the whole genome sequence data imputed from SNP chip data. Finally, 3, 25, and 63 suggestively significant SNPs were identified to be associated with carcass weight (CW), eviscerated weight with giblets (EWG), and eviscerated weight (EW), respectively. Six candidate genes, RNF219, SCEL, MYCBP2, ETS1, APLP2, and PRDM10 were detected. SCEL and MYCBP2 were potentially associated with these three traits, RNF219 and APLP2 were potentially associated with EWG and EW, and ETS1 and PRDM10 were only potentially associated with EWG and EW, respectively. Compared with forefathers' research, 10 reported QTLs associated with CW were located within a 5-Mb distance near the SNPs with P value lower than 1×10-5. This study enriched the knowledge of the genetic mechanisms of chicken carcass traits.

Keywords
Carcass traits Chicken GWAS Imputation Sequence data
MeSH 主题词
Animals Body Weight Chickens/genetics Genome-Wide Association Study/veterinary Genotype Linear Models Male Meat Models, Genetic Phenotype Polymorphism, Single Nucleotide Quantitative Trait Loci
作者与单位
共 9 位作者,点击展开单位 / ORCID
Huang Shuwen
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
He Yingting
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Ye Shaopan
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Wang Jiaying
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Yuan Xiaolong
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Zhang Hao
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Li Jiaqi
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Zhang Xiquan
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Zhang Zhe ORCID
Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China. zhezhang@scau.edu.cn.
Article Info
Journal
Journal of applied genetics
Abbr.
J Appl Genet
ISSN
2190-3883
Corresponding email
Published
2018-08-00
电子出版
2018-00-23
页码
335-344
Language
English
Country/Region
England
NLM ID
9514582
基金资助
National Natural Science Foundation of China (CN) · 31772556
the earmarked fund for China Agriculture Research System · CARS-41
S&T Planning Project of Guangdong · 2015A020209159
Pearl River S&T Nova Program of Guangzhou · 201506010027
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