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Genetical genomics: combining gene expression with marker genotypes in poultry

机译:遗传基因组学:将基因表达与家禽标记基因型相结合

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Microarrays have been widely implemented across the life sciences, although there is still debate on the most effective uses of such transcriptomics approaches. In genetical genomics, gene expression measurements are treated as quantitative traits, and genome regions affecting expression levels are denoted as expression QTL (eQTL). The detected eQTL can represent a locus that lies close to the gene that is being controlled (cis-acting) or one or more loci that are unlinked to the gene that is being controlled (trans-acting). One powerful outcome of genetical genomics is the reconstruction of genetic pathways underlying complex trait variation. Because of the modest size of experiments to date, genetical genomics may fall short of its promise to unravel genetic networks. We propose to combine expression studies with fine mapping of functional trait loci. This synergistic approach facilitates the implementation of genetical genomics for species without inbred resources but is equally applicable to model species. Among livestock species, poultry is well placed to embrace this technology with the availability of the chicken genome sequence, microarrays for various platforms, as well as experimental populations in which QTL have been mapped. In the buildup toward full-blown eQTL studies, we can study the effects of known candidate genes or marked QTL at the gene expression level in more focused studies. To demonstrate the potential of genetical genomics, we have identified the cis and trans effects for a functional BW QTL on chicken chromosome 4 in breast tissue samples from chickens with contrasting QTL genotypes.
机译:尽管在有关这种转录组学方法的最有效使用方面仍存在争议,但微阵列已在整个生命科学领域得到广泛应用。在遗传基因组学中,基因表达测量被视为定量特征,影响表达水平的基因组区域称为表达QTL(eQTL)。所检测的eQTL可以代表位于正被控制的基因(顺式作用)或一个或多个不与正被控制的基因连接(反式作用)的基因座附近的基因座。遗传基因组学的一项有力成果是重建复杂性状变异背后的遗传途径。由于迄今为止的实验规模不大,遗传基因组学可能无法实现其揭露遗传网络的承诺。我们建议将表达研究与功能性状基因座的精细定位相结合。这种协同方法有助于为没有近交资源的物种实施遗传基因组学,但同样适用于模型物种。在牲畜物种中,禽类凭借其鸡基因组序列,各种平台的微阵列以及已在其中绘制QTL的实验种群的优势,已很好地采用了该技术。在全面开展eQTL研究的过程中,我们可以在更集中的研究中研究已知候选基因或标记QTL在基因表达水平上的影响。为了证明遗传基因组学的潜力,我们已经从具有相反QTL基因型的鸡的乳房组织样品中鉴定了功能性BW QTL对鸡4号染色体的顺式和反式作用。

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