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Genome-Wide Association Study Identifies Loci for Body Composition and Structural Soundness Traits in Pigs

机译:全基因组关联研究确定了猪身体组成和结构健全性状的基因座

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摘要

BackgroundThe recent completion of the swine genome sequencing project and development of a high density porcine SNP array has made genome-wide association (GWA) studies feasible in pigs. Methodology/Principal FindingsUsing Illumina\u27s PorcineSNP60 BeadChip, we performed a pilot GWA study in 820 commercial female pigs phenotyped for backfat, loin muscle area, body conformation in addition to feet and leg (FL) structural soundness traits. A total of 51,385 SNPs were jointly fitted using Bayesian techniques as random effects in a mixture model that assumed a known large proportion (99.5%) of SNPs had zero effect. SNP annotations were implemented through the Sus scrofa Build 9 available from pig Ensembl. We discovered a number of candidate chromosomal regions, and some of them corresponded to QTL regions previously reported. We not only have identified some well-known candidate genes for the traits of interest, such as MC4R (for backfat) and IGF2 (for loin muscle area), but also obtained novel promising genes, including CHCHD3 (for backfat), BMP2 (for loin muscle area, body size and several FL structure traits), and some HOXA family genes (for overall leg action). The candidate regions responsible for body conformation and FL structure soundness did not overlap greatly which implied that these traits were controlled by different genes. Functional clustering analyses classified the genes into categories related to bone and cartilage development, muscle growth and development or the insulin pathway suggesting the traits are regulated by common pathways or gene networks that exert roles at different spatial and temporal stages. Conclusions/SignificanceThis study is one of the earliest GWA reports on important quantitative traits in pigs, and the findings will contribute to the further biological function analysis of the identified candidate genes and potential utilization of them in marker assisted selection.
机译:背景猪基因组测序项目的最新完成和高密度猪SNP阵列的开发使猪的全基因组关联(GWA)研究变得可行。方法/主要发现使用Illumina的PorcineSNP60 BeadChip,我们对820只商业猪进行了GWA试点研究,这些猪的表脂,腰部肌肉区域,身体构型以及脚和腿(FL)的结构健全性状表现出表型。假设已知大比例(99.5%)的SNP具有零影响,使用贝叶斯技术将总共51,385个SNP随机拟合为混合模型。 SNP注释是通过Pig Ensembl的Sus scrofa Build 9实现的。我们发现了许多候选染色体区域,其中一些对应于先前报道的QTL区域。我们不仅已经确定了一些感兴趣的性状候选基因,例如MC4R(用于后脂肪)和IGF2(用于腰部肌肉区域),而且还获得了新的有前途的基因,包括CHCHD3(用于后脂肪),BMP2(用于后脂肪)。腰肌面积,体重和一些FL结构特征),以及一些HOXA家族基因(用于整体腿部动作)。负责人体构象和FL结构健全性的候选区域没有太多重叠,这表明这些性状受不同基因的控制。功能聚类分析将基因分为与骨骼和软骨发育,肌肉生长和发育或胰岛素途径相关的类别,这表明这些性状受到在不同时空阶段发挥作用的共同途径或基因网络的调控。结论/意义本研究是关于猪重要定量性状的最早的GWA报告之一,该发现将有助于进一步对已鉴定的候选基因进行生物学功能分析,并将其潜在地用于标记辅助选择中。

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