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Integrative Analysis of Metabolomic Proteomic and Genomic Data to Reveal Functional Pathways and Candidate Genes for Drip Loss in Pigs

机译:代谢组学蛋白质组学和基因组数据的综合分析揭示猪滴水损失的功能途径和候选基因

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摘要

The aim of this study was to integrate multi omics data to characterize underlying functional pathways and candidate genes for drip loss in pigs. The consideration of different omics levels allows elucidating the black box of phenotype expression. Metabolite and protein profiling was applied in Musculus longissimus dorsi samples of 97 Duroc × Pietrain pigs. In total, 126 and 35 annotated metabolites and proteins were quantified, respectively. In addition, all animals were genotyped with the porcine 60 k Illumina beadchip. An enrichment analysis resulted in 10 pathways, amongst others, sphingolipid metabolism and glycolysis/gluconeogenesis, with significant influence on drip loss. Drip loss and 22 metabolic components were analyzed as intermediate phenotypes within a genome-wide association study (GWAS). We detected significantly associated genetic markers and candidate genes for drip loss and for most of the metabolic components. On chromosome 18, a region with promising candidate genes was identified based on SNPs associated with drip loss, the protein “phosphoglycerate mutase 2” and the metabolite glycine. We hypothesize that association studies based on intermediate phenotypes are able to provide comprehensive insights in the genetic variation of genes directly involved in the metabolism of performance traits. In this way, the analyses contribute to identify reliable candidate genes.
机译:这项研究的目的是整合多组学数据,以表征猪的滴水损失的潜在功能途径和候选基因。考虑不同的组学水平可以阐明表型表达的黑匣子。 97头杜洛克×Pietrain猪的背最长肌样品中应用了代谢物和蛋白质谱分析。总共分别定量了126和35种带注释的代谢物和蛋白质。另外,用猪60k Illumina Beadchip对所有动物进行基因分型。富集分析导致10条途径,其中包括鞘脂代谢和糖酵解/糖异生,这对滴水损失有重大影响。在全基因组关联研究(GWAS)中,滴水损失和22种代谢成分被作为中间表型进行了分析。我们检测到滴水损失和大多数代谢成分的显着相关遗传标记和候选基因。在第18号染色体上,基于与滴水丢失,蛋白质“磷酸甘油酸突变酶2”和代谢产物甘氨酸相关的SNPs,鉴定了一个有前途的候选基因区域。我们假设基于中间表型的关联研究能够为直接涉及性能特征代谢的基因的遗传变异提供全面的见解。这样,分析有助于鉴定可靠的候选基因。

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