Genetic parameters estimation and genome-wide association studies for internal organ traits in an F-2 chicken population

JOURNAL OF ANIMAL BREEDING AND GENETICS(2022)

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摘要
Chicken internal organs are indispensable parts of the body, but their genetic architectures have not been commonly understood. Herein, we estimated the genetic parameters for heart weight (HW), liver weight (LW), spleen weight (SpW), testis weight (TW), glandular stomach weight (GSW), muscular stomach weight (MSW) and identified single nucleotide polymorphisms (SNPs) and potential candidate genes associated with internal organ weights in an F-2 population constructed by crossing broiler cocks derived from Arbor Acres with high abdominal fat content and Baier layer dams (a Chinese native breed). The restricted maximum likelihood (REML) method was applied for genetic parameters estimation of internal organ weights using GCTA software. The results showed that heritabilities of internal organ traits ranged from 0.336 to 0.673 and most of the genetic and phenotypic correlations amongst internal organs weights were positive. A genome-wide association study (GWAS) was performed based on a mixed linear model (MLM) in GEMMA software. Genotypic data were produced from the whole genome re-sequenced (26 F-0 individuals were re-sequenced at 10 x coverage; 519 F-2 individuals were re-sequenced at 3 x coverage). A total of 7,890,258 SNPs remained to be analysed after quality control and genotype imputation. The GWAS results indicated that significant SNPs responsible for internal organ traits were scattered on the different chicken chromosomes 1-5, 8, 11, 14, 16, 18, 19 and 27. Amongst the annotated genes, fibronectin type III domain containing 3A (FNDC3A), LOC101748122, membrane palmitoylated protein 6 (MPP6), LOC107049584 and KAT8 regulatory NSL complex subunit 1 (KANSL1) were the most promising candidates for internal organ traits. The findings will provide instrumental information for understanding the genetic basis of internal organ development.
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关键词
chicken, genetic parameters estimation, GWAS, internal organs
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