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首页> 外文期刊>Asian-Australasian Journal of Animal Sciences >Genome-wide Association Study to Identify Quantitative Trait Loci for Meat and Carcass Quality Traits in Berkshire
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Genome-wide Association Study to Identify Quantitative Trait Loci for Meat and Carcass Quality Traits in Berkshire

机译:全基因组关联研究,以识别伯克郡的肉和Car体质量性状的数量性状位点

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Meat and carcass quality attributes are of crucial importance influencing consumer preference and profitability in the pork industry. A set of 400 Berkshire pigs were collected from Dasan breeding farm, Namwon, Chonbuk province, Korea that were born between 2012 and 2013. To perform genome wide association studies (GWAS), eleven meat and carcass quality traits were considered, including carcass weight, backfat thickness, pH value after 24 hours (pH24), Commission Internationale de l'Eclairage lightness in meat color (CIE L), redness in meat color (CIE a), yellowness in meat color (CIE b), filtering, drip loss, heat loss, shear force and marbling score. All of the 400 animals were genotyped with the Porcine 62K SNP BeadChips (Illumina Inc., USA). A SAS general linear model procedure (SAS version 9.2) was used to pre-adjust the animal phenotypes before GWAS with sire and sex effects as fixed effects and slaughter age as a covariate. After fitting the fixed and covariate factors in the model, the residuals of the phenotype regressed on additive effects of each single nucleotide polymorphism (SNP) under a linear regression model (PLINK version 1.07). The significant SNPs after permutation testing at a chromosome-wise level were subjected to stepwise regression analysis to determine the best set of SNP markers. A total of 55 significant (p0.05) SNPs or quantitative trait loci (QTL) were detected on various chromosomes. The QTLs explained from 5.06% to 8.28% of the total phenotypic variation of the traits. Some QTLs with pleiotropic effect were also identified. A pair of significant QTL for pH24 was also found to affect both CIE L and drip loss percentage. The significant QTL after characterization of the functional candidate genes on the QTL or around the QTL region may be effectively and efficiently used in marker assisted selection to achieve enhanced genetic improvement of the trait considered.
机译:肉和car体的品质属性对于影响猪肉行业的消费者偏好和获利能力至关重要。收集了400头伯克希尔猪,这些猪来自2012年至2013年之间出生于韩国春北省南原市的Dasan繁殖场。为了进行全基因组关联研究(GWAS),考虑了11种肉和car体的品质特征,包括car体重量,粗脂肪厚度,24小时后的pH值(pH24),肉馅颜色国际亮度委员会(CIE L),肉色红色(CIE a),肉色黄色(CIE b),过滤,滴落损失,热损失,剪切力和大理石花纹分数。用猪62K SNP BeadChips(Illumina Inc.,美国)对所有400只动物进行基因分型。在GWAS之前,使用SAS一般线性模型程序(SAS版本9.2)预先调整动物表型,将父亲和性别效应作为固定效应,将屠宰年龄作为协变量。在将固定和协变量因子拟合到模型中之后,在线性回归模型(PLINK版本1.07)下,表型的残差因每个单核苷酸多态性(SNP)的累加效应而回归。在染色体水平的置换测试后,对显着的SNP进行逐步回归分析,以确定最佳的SNP标记集。在各种染色体上共检测到55个显着(p <0.05)SNP或定量性状基因座(QTL)。 QTL解释了性状的总表型变异从5.06%到8.28%。还鉴定了一些具有多效作用的QTL。还发现一对pH24的显着QTL会影响CIE L和滴漏率。表征QTL上或QTL区域周围的功能候选基因后的重要QTL可以有效和有效地用于标记辅助选择中,以实现所考虑性状的增强遗传改良。

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