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Candidate genes and biological pathways associated with carcass quality traits in beef cattle.

机译:与肉牛car体品质性状相关的候选基因和生物学途径。

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摘要

The objective of this study was to use the candidate gene approach to identify the genes associated with carcass quality traits in beef cattle steers at the University of Alberta Ranch at Kinsella, Canada. This approach involved identifying positional candidate genes and prioritizing them according to their functions into functional candidate genes before performing statistical association analysis. The positional candidate genes and single nucleotide polymorphisms (SNP) were identified from previously reported quantitative trait loci for component traits including body weight, average daily gain, metabolic weight, feed efficiency and energy balance. Positional candidate genes were then prioritized into functional candidate genes according to the associated gene ontology terms and their functions. A total of 116 genes were considered functional candidate genes and 117 functional SNPs were genotyped and used for multiple marker association analysis using ASRemlReg.. Seven SNPs were significantly associated with various carcass quality traits (P<=0.005). The significant genes were associated with biological processes such as fat, glucose, protein and steroid metabolism, growth, energy utilization and DNA transcription and translation as inferred from the protein knowledgebase (UniprotKB). Gene network analysis indicated significant involvement of biological processes related to fat and steroid metabolism and regulation of transcription and translation of DNA.
机译:这项研究的目的是使用候选基因方法来鉴定与加拿大Kinsella的Alberta Ranch大学的肉牛ste体car体品质性状相关的基因。这种方法涉及在执行统计关联分析之前,确定位置候选基因并根据其功能将其优先排序为功能候选基因。从先前报道的定量性状基因座中识别出候选的位置基因和单核苷酸多态性(SNP),这些特征性状包括体重,平均日增重,代谢体重,饲料效率和能量平衡。然后根据相关的基因本体术语及其功能将位置候选基因优先排序为功能候选基因。共有116个基因被认为是功能候选基因,并且使用ASRemlReg对117个功能性SNP进行基因分型并用于多标记关联分析。七个SNP与各种various体品质性状显着相关(P <= 0.005)。从蛋白质知识库(UniprotKB)推断,重要的基因与生物过程有关,例如脂肪,葡萄糖,蛋白质和类固醇的代谢,生长,能量利用以及DNA转录和翻译。基因网络分析表明,与脂肪和类固醇代谢以及DNA转录和翻译调控相关的生物过程显着参与。

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