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Candidate genes, metabolites and biological pathways associated with residual feed intake and carcass quality in beef cattle.

机译:与剩余饲料摄入量和肉牛cattle体质量有关的候选基因,代谢物和生物学途径。

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摘要

The main objective of this study was to identify genes, DNA variants and plasma metabolites associated with residual feed intake (RFI) in beef cattle. In the first study, a total of 117 SNPs were selected and genotyped in 531 steers at the University of Alberta. The population was split into a discovery and validation population and multiple marker association analyses were performed in the discovery, validation and combined populations using ASReml. Twenty two SNPs were associated (P < 0.05) with RFI in the discovery population and 7 (of the 22) were also significant (P < 0.05) in the validation population. Twenty five SNPs were associated with RFI (P < 0.05) in the pooled population. A gene network analysis indicated that the biological processes associated with the significant genes included lipid, glucose, protein and steroid metabolism, growth, energy utilization, and regulation of DNA transcription and translation. The second study was an association analysis using the 117 SNPs and indicated that 7 were associated with various carcass quality traits (p ≤ 0.005) in the same population. A third association analysis was performed using steers at the University of Guelph, as the discovery population, to identify blood metabolites associated with RFI. Blood samples were collected at 3 periods with period 1, 2 and 3 corresponding to week 2, 6 and 9 into the feeding period respectively. Two, ten and three metabolites were significantly associated with RFI (P < 0.05) in period 1, 2 and 3 and accounted for 36%, 74% and 52% of the variation respectively. A validation analysis was performed using steers at the University of Alberta as the validation population. The results indicated that 3 metabolites were significantly associated with RFI in both discovery and validation populations accounting for 32.8% of the variation in the validation population. A metabolic network analysis indicated that the biological pathways associated with the metabolites included AMPK signaling, growth hormone signaling, lipid and energy metabolism and cholesterol metabolism. The genes, metabolites, biological networks and the biological pathways help contribute to a better understanding of the physiological processes influencing RFI and carcass quality in beef cattle.
机译:这项研究的主要目的是鉴定与牛剩余饲料摄入量(RFI)相关的基因,DNA变异体和血浆代谢产物。在第一项研究中,共选择了117个SNP,并在阿尔伯塔大学的531牛中对它们进行了基因分型。将总体分为发现和验证总体,并使用ASReml在发现,验证和组合总体中进行多个标记关联分析。在发现人群中,有22个SNP与RFI相关(P <0.05),在验证人群中,有22个SNP与RFI相关(P <0.05)。在合并人群中有25个SNP与RFI相关(P <0.05)。基因网络分析表明,与重要基因相关的生物学过程包括脂质,葡萄糖,蛋白质和类固醇的代谢,生长,能量利用以及DNA转录和翻译的调控。第二项研究是使用117个SNP进行的关联分析,表明7个与同一种群中的各种various体品质性状相关(p≤0.005)。使用在圭尔夫大学的公牛作为发现种群进行了第三次关联分析,以鉴定与RFI相关的血液代谢产物。在三个周期中分别与进食期的第2、6和9周相对应的第1、2和3期采集血样。在第1、2和3期中,有2、10和3种代谢物与RFI显着相关(P <0.05),分别占变异的36%,74%和52%。使用艾伯塔大学的公牛作为验证人群进行了验证分析。结果表明,在发现和验证人群中,三种代谢物均与RFI显着相关,占验证人群变异的32.8%。代谢网络分析表明,与代谢物相关的生物学途径包括AMPK信号传导,生长激素信号传导,脂质和能量代谢以及胆固醇代谢。基因,代谢物,生物网络和生物途径有助于更好地了解影响肉牛RFI和car体质量的生理过程。

著录项

  • 作者

    Karisa, Brian Kahindi.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Agriculture Animal Culture and Nutrition.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 300 p.
  • 总页数 300
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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