College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.
College of Biological Engineering, Henan University of Technology, Zheng Zhou, Henan Province, 450001, People's Republic of China.
BMC Genomics. 2023 Oct 7;24(1):594. doi: 10.1186/s12864-023-09685-8.
The composition and content of fatty acids in the breast muscle are important factors influencing meat quality. In this study, we investigated the fatty acid composition and content in the breast muscle of Gushi chickens at different developmental stages (14 weeks, 22 weeks, and 30 weeks). Additionally, we utilized transcriptomic data from the same tissue and employed WGCNA and module identification methods to identify key genes associated with the fatty acid composition in Gushi chicken breast muscle and elucidate their regulatory networks.
Among them, six modules (blue, brown, green, light yellow, purple, and red modules) showed significant correlations with fatty acid content and metabolic characteristics. Enrichment analysis revealed that these modules were involved in multiple signaling pathways related to fatty acid metabolism, including fatty acid metabolism, PPAR signaling pathway, and fatty acid biosynthesis. Through analysis of key genes, we identified 136 genes significantly associated with fatty acid phenotypic traits. Protein-protein interaction network analysis revealed that nine of these genes were closely related to fatty acid metabolism. Additionally, through correlation analysis of transcriptome data, we identified 51 key ceRNA regulatory networks, including six central genes, 7 miRNAs, and 28 lncRNAs.
This study successfully identified key genes closely associated with the fatty acid composition in Gushi chicken breast muscle, as well as their post-transcriptional regulatory networks. These findings provide new insights into the molecular regulatory mechanisms underlying the flavor characteristics of chicken meat and the composition of fatty acids in the breast muscle.
胸肌中脂肪酸的组成和含量是影响肉质的重要因素。本研究以固始鸡为研究对象,分别在 14 周、22 周和 30 周龄时,检测其胸肌脂肪酸组成和含量的变化,同时结合同一组织的转录组数据,采用 WGCNA 和模块识别方法,鉴定与固始鸡胸肌脂肪酸组成相关的关键基因,并对其调控网络进行解析。
筛选到 6 个与脂肪酸含量和代谢特征显著相关的模块(蓝色、棕色、绿色、浅黄色、紫色和红色模块)。功能富集分析表明这些模块参与了多个与脂肪酸代谢相关的信号通路,如脂肪酸代谢、PPAR 信号通路和脂肪酸的生物合成等。通过分析关键基因,鉴定到与脂肪酸表型性状显著相关的 136 个基因。蛋白互作网络分析发现其中 9 个基因与脂肪酸代谢密切相关。通过对转录组数据的相关性分析,构建了 51 个关键 ceRNA 调控网络,包括 6 个核心基因、7 个 miRNAs 和 28 个 lncRNAs。
本研究成功鉴定到与固始鸡胸肌脂肪酸组成显著相关的关键基因及其可能的转录后调控网络,为解析鸡肉风味特征形成的分子调控机制和胸肌脂肪酸组成提供了新的思路。