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Genome-Wide Association Study of Growth and Feeding Traits in Pekin Ducks

机译:北京鸭生长和饲养特性的全基因组关联研究

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摘要

Growth rate and feeding efficiency are the most important economic traits for meat animals. Pekin duck is one of the major global breeds of meat-type duck. This study aims to identify QTL for duck growth and feeding efficiency traits in order to assist artificial selection. In this study, the growth and feeding related phenotypes of 639 Pekin ducks were recorded, and each individual genotype was evaluated using a genotyping-by-sequencing (GBS) protocol. The genetic parameters for growth and feeding efficiency related traits were estimated. Genome-wide association analysis (GWAS) was then performed for these traits. In total, 15 non-overlapping QTLs for the measured traits and 12 significant SNPs for feed efficiency traits were discovered using a mixed linear model. The most significant loci of feed intake (FI) is located in a 182Mb region on Chr1, which is downstream of gene RNF17, and can explain 2.3% of the phenotypic variation. This locus is also significantly associated with residual feed intake (RFI), and can explain 3% of this phenotypic variation. Among 12 SNPs associated with the feed conversion ratio (FCR), the most significant SNP (P-value = 1.65E-06), which was located in the region between the 3rd and 4th exon of the SORCS1 gene on Chr6, explained 3% of the phenotypic variance. Using gene-set analysis, a total of two significant genes were detected be associated with RFI on Chr1. This study is the first GWAS for growth and feeding efficiency related traits in ducks. Our results provide a list of candidate genes for marker assisted selection for growth and feeding efficiency, and also help to better understand the genetic mechanisms of feed efficiency and growth in ducks.
机译:增长速度和饲喂效率是肉类动物最重要的经济特征。北京鸭是全球主要的肉鸭品种之一。本研究旨在确定鸭生长和饲喂效率性状的QTL,以帮助人工选择。在这项研究中,记录了639只北京烤鸭的生长和觅食相关表型,并使用测序基因分型(GBS)方案评估了每个个体的基因型。估计了与生长和饲喂效率相关性状的遗传参数。然后对这些性状进行全基因组关联分析(GWAS)。使用混合线性模型,总共发现了15个非重复性状的QTL,测得的性状和12个重要的SNP性状的饲料效率性状。最高采食量(FI)位于Chr1的182Mb区域,该区域位于RNF17基因的下游,可以解释2.3%的表型变异。该位点还与残余饲料摄入量(RFI)显着相关,并且可以解释这种表型变异的3%。在与饲料转化率(FCR)相关的12个SNP中,最显着的SNP(P值= 1.65E-06)位于Chr6上SORCS1基因第3和第4外显子之间的区域,解释了3%表型差异。使用基因集分析,总共检测到两个重要基因与Chr1上的RFI相关。这项研究是首次针对鸭的生长和饲喂效率相关性状的GWAS。我们的结果为候选标记的生长和饲喂效率选择提供了候选基因列表,还有助于更好地了解鸭饲料效率和生长的遗传机制。

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