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四元杂交猪群体生长性状的全基因组关联研究。

Genome-Wide Association Study of Growth Traits in a Four-Way Crossbred Pig Population.

机构信息

Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.

Faculty of Animal Science, Xichang University, Xichang 615000, China.

出版信息

Genes (Basel). 2022 Oct 31;13(11):1990. doi: 10.3390/genes13111990.

Abstract

Growth traits are crucial economic traits in the commercial pig industry and have a substantial impact on pig production. However, the genetic mechanism of growth traits is not very clear. In this study, we performed a genome-wide association study (GWAS) based on the specific-locus amplified fragment sequencing (SLAF-seq) to analyze ten growth traits on 223 four-way intercross pigs. A total of 227,921 highly consistent single nucleotide polymorphisms (SNPs) uniformly dispersed throughout the entire genome were used to conduct GWAS. A total of 53 SNPs were identified for ten growth traits using the mixed linear model (MLM), of which 18 SNPs were located in previously reported quantitative trait loci (QTL) regions. Two novel QTLs on SSC4 and SSC7 were related to average daily gain from 30 to 60 kg (ADG30-60) and body length (BL), respectively. Furthermore, 13 candidate genes (, , , , , , , , , , , , and ) were found to be associated with growth traits in pigs. The GWAS findings will enhance our comprehension of the genetic architecture of growth traits. We suggested that these detected SNPs and corresponding candidate genes might provide a biological foundation for improving the growth and production performance of pigs in swine breeding.

摘要

生长性状是商品猪产业中至关重要的经济性状,对猪生产有重大影响。然而,生长性状的遗传机制尚不清楚。本研究利用特定基因座扩增片段测序(SLAF-seq)技术,对 223 头四元杂交猪的 10 个生长性状进行全基因组关联分析(GWAS)。共使用 227921 个均匀分布在整个基因组中的高度一致的单核苷酸多态性(SNP)进行 GWAS。使用混合线性模型(MLM)对 10 个生长性状进行了 53 个 SNP 的鉴定,其中 18 个 SNP 位于先前报道的数量性状基因座(QTL)区域。两个新的 QTL 分别位于 SSC4 和 SSC7 上,与 30-60kg 日增重(ADG30-60)和体高(BL)有关。此外,还发现了 13 个候选基因(,,,,,,,,,,,, 和 )与猪的生长性状相关。GWAS 研究结果将提高我们对生长性状遗传结构的理解。我们认为这些检测到的 SNP 和相应的候选基因可能为提高猪的生长和生产性能提供生物学基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32a5/9689869/87d153bc0bd1/genes-13-01990-g001.jpg

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