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

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Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population
Genes ( IF 3.5 ) Pub Date : 2021-01-19 , DOI: 10.3390/genes12010117
Donglin Ruan _{1,

2} , Zhanwei Zhuang _{1,

2} , Rongrong Ding _{1,

2} , Yibin Qiu _{1,

2} , Shenping Zhou _{1,

2} , Jie Wu _{1,

2} , Cineng Xu _{1,

2} , Linjun Hong _{1,

2} , Sixiu Huang _{1,

2} , Enqin Zheng _{1,

2} , Gengyuan Cai ₁ , Zhenfang Wu _{1,

2} , Jie Yang _{1,

2}

Affiliation

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.

中文翻译：

加权单步 GWAS 鉴定与杜洛克猪群生长性状相关的候选基因

生长性状是猪的重要经济性状，受多个主基因和多个次基因控制。为了更好地了解生长性状的遗传结构，我们进行了加权单步全基因组关联研究 (wssGWAS)，以确定与体重达 100 公斤 (AGE)、平均日增重 (ADG) 相关的基因组区域和候选基因、杜洛克猪群的背膘厚度 (BF) 和瘦肉率 (LMP)。在这项研究中，3945 个具有表型和谱系信息的个体，其中 2084 头猪用 50K 单核苷酸多态性 (SNP) 阵列进行基因分型，用于关联分析。我们发现最显着的区域解释了四个性状的 2.56-3.07% 的遗传方差，检测到的显着区域（>1%）解释了 17.07%、18.59%、23.87% 和 21。94% 的四个特征。最后，据报道与新陈代谢、骨骼生长和脂肪沉积相关的 21 个基因被视为猪生长性状的候选基因。此外，基因本体论 (GO) 和京都基因和基因组百科全书 (KEGG) 富集分析表明，鉴定出的基因参与了骨骼形成、免疫系统和消化。总之，充分利用表型、基因型和家谱信息将加速猪生长性状的遗传改良。基因本体论 (GO) 和京都基因和基因组百科全书 (KEGG) 富集分析表明，鉴定出的基因参与了骨骼形成、免疫系统和消化。总之，充分利用表型、基因型和家谱信息将加速猪生长性状的遗传改良。基因本体论 (GO) 和京都基因和基因组百科全书 (KEGG) 富集分析表明，鉴定出的基因参与了骨骼形成、免疫系统和消化。总之，充分利用表型、基因型和家谱信息将加速猪生长性状的遗传改良。

更新日期：2021-01-19

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