Department of Animal and Food Sciences, University of Delaware, Newark, Delaware, USA.
Sci Rep. 2023 Mar 23;13(1):4747. doi: 10.1038/s41598-023-31429-7.
This integrative study of transcriptomics and metabolomics aimed to improve our understanding of Wooden Breast myopathy (WB). Breast muscle samples from 8 WB affected and 8 unaffected male broiler chickens of 47 days of age were harvested for metabolite profiling. Among these 16 samples, 5 affected and 6 unaffected also underwent gene expression profiling. The Joint Pathway Analysis was applied on 119 metabolites and 3444 genes exhibiting differential abundance or expression between WB affected and unaffected chickens. Mitochondrial dysfunctions in WB was suggested by higher levels of monoacylglycerols and down-regulated genes involved in lipid production, fatty acid beta oxidation, and oxidative phosphorylation. Lower levels of carnosine and anserine, along with down-regulated carnosine synthase 1 suggested decreased carnosine synthesis and hence impaired antioxidant capacity in WB. Additionally, Weighted Gene Co-expression Network Analysis results indicated that abundance of inosine monophosphate, significantly lower in WB muscle, was correlated with mRNA expression levels of numerous genes related to focal adhesion, extracellular matrix and intercellular signaling, implying its function in connecting and possibly regulating multiple key biological pathways. Overall, this study showed not only the consistency between transcript and metabolite profiles, but also the potential in gaining further insights from analyzing multi-omics data.
本研究综合了转录组学和代谢组学,旨在深入了解木质鸡胸肉病变(Wooden Breast myopathy,WB)。采集 8 只 WB 病变和 8 只无病变雄性肉鸡 47 日龄的胸肌样本进行代谢物分析。在这 16 个样本中,5 个病变和 6 个无病变的样本还进行了基因表达谱分析。联合途径分析应用于 119 种代谢物和 3444 个基因,这些基因在 WB 病变和无病变鸡之间表现出丰度或表达差异。WB 中存在的线粒体功能障碍表现为单酰甘油水平升高,以及涉及脂质生成、脂肪酸β氧化和氧化磷酸化的下调基因。肌肽和鹅肌肽水平降低,以及肌肽合酶 1 的下调表明 WB 中肌肽合成减少,抗氧化能力受损。此外,加权基因共表达网络分析结果表明,在 WB 肌肉中显著降低的肌苷一磷酸的丰度与许多与焦点黏附、细胞外基质和细胞间信号传导相关的基因的 mRNA 表达水平相关,这表明它在连接和可能调节多个关键生物途径方面具有功能。总体而言,这项研究不仅显示了转录组和代谢组谱之间的一致性,还表明从分析多组学数据中获得更深入见解的潜力。