PDF(Pubmed)
Abstract：
Body weight is an important economic trait for sheep meat production, and its genetic improvement is considered one of the main goals in the sheep breeding program. Identifying genomic regions that are associated with growth-related traits accelerates the process of animal breeding through marker-assisted selection, which leads to increased response to selection. In this study, we conducted a weighted single-step genome-wide association study (WssGWAS) to identify potential candidate genes for direct and maternal genetic effects associated with birth weight (BW) and weaning weight (WW) in Baluchi sheep. The data used in this research included 13,408 birth and 13,170 weaning records collected at Abbas-Abad Baluchi Sheep Breeding Station, Mashhad-Iran. Genotypic data of 94 lambs genotyped by Illumina 50K SNP BeadChip for 54,241 markers were used. The proportion of variance explained by genomic windows was calculated by summing the variance of SNPs within 1 megabase (Mb). The top 10 window genomic regions explaining the highest percentages of additive and maternal genetic variances were selected as candidate window genomic regions associated with body weights. Our findings showed that for BW, the top-ranked genomic regions (1 Mb windows) explained 4.30 and 4.92% of the direct additive and maternal genetic variances, respectively. The direct additive genetic variance explained by the genomic window regions varied from 0.31 on chromosome 1 to 0.59 on chromosome 8. The highest (0.84%) and lowest (0.32%) maternal genetic variances were explained by genomic windows on chromosome 10 and 17, respectively. For WW, the top 10 genomic regions explained 6.38 and 5.76% of the direct additive and maternal genetic variances, respectively. The highest and lowest contribution of direct additive genetic variances were 1.37% and 0.42%, respectively, both explained by genomic regions on chromosome 2. For maternal effects on WW, the highest (1.38%) and lowest (0.41%) genetic variances were explained by genomic windows on chromosome 2. Further investigation of these regions identified several possible candidate genes associated with body weight. Gene ontology analysis using the DAVID database identified several functional terms, such as translation repressor activity, nucleic acid binding, dehydroascorbic acid transporter activity, growth factor activity and SH2 domain binding.
摘要：
体重是生产绵羊肉的重要经济性状,其遗传改良被认为是绵羊育种计划的主要目标之一。识别与生长相关性状相关的基因组区域，通过标记辅助选择加速动物育种过程，这导致对选择的反应增加。在这项研究中,我们进行了加权单步全基因组关联研究(WssGWAS),以确定与Baluchi绵羊出生体重(BW)和断奶体重(WW)相关的直接和母体遗传效应的潜在候选基因.这项研究中使用的数据包括在Abbas-AbadBaluchi绵羊育种站收集的13,408个出生和13,170个断奶记录，马什哈德-伊朗。使用Illumina50KSNPBeadChip对54,241个标记进行基因分型的94只羔羊的基因型数据。通过对1兆碱基(Mb)内的SNP的方差求和来计算由基因组窗口解释的方差的比例。选择解释加性和母体遗传变异的最高百分比的前10个窗口基因组区域作为与体重相关的候选窗口基因组区域。我们的研究结果表明，对于BW，排名靠前的基因组区域（1Mb窗口）解释了4.30％和4.92％的直接加性和母体遗传变异，分别。基因组窗口区域解释的直接加性遗传变异从1号染色体上的0.31到8号染色体上的0.59不等。最高（0.84％）和最低（0.32％）的母体遗传变异分别由10号和17号染色体上的基因组窗口解释。对于WW，前10个基因组区域解释了6.38％和5.76％的直接加性和母体遗传变异，分别。直接加性遗传变异的最高和最低贡献率分别为1.37%和0.42%,分别,两者都由2号染色体上的基因组区域解释。关于孕产妇对WW的影响，2号染色体上的基因组窗口解释了最高（1.38％）和最低（0.41％）的遗传变异。对这些区域的进一步研究确定了与体重相关的几种可能的候选基因。使用DAVID数据库的基因本体论分析确定了几个功能术语，如翻译抑制活动，核酸结合，脱氢抗坏血酸转运蛋白活性，生长因子活性和SH2结构域结合。
