基于转录组分析构建影响肌内脂肪含量和肉色红度的共表达网络。
Construction of a co-expression network affecting intramuscular fat content and meat color redness based on transcriptome analysis.
作者信息
Wang Binbin, Hou Liming, Yang Wen, Men Xiaoming, Qi Keke, Xu Ziwei, Wu Wangjun
机构信息
Institute of Animal Husbandry and Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
出版信息
Front Genet. 2024 Feb 13;15:1351429. doi: 10.3389/fgene.2024.1351429. eCollection 2024.
Intramuscular fat content (IFC) and meat color are vital indicators of pork quality. A significant positive correlation between IFC and redness of meat color (CIE value) indicates that these two traits are likely to be regulated by shared molecular pathways.To identify candidate genes, hub genes, and signaling pathways that regulate these two traits, we measured the IFC and CIE value in 147 hybrid pigs, and selected individuls with extreme phenotypes for transcriptome analysis. The results revealed 485 and 394 overlapping differentially expressed genes (DEGs), using the DESeq2, limma, and edgeR packages, affecting the IFC and CIE value, respectively. Weighted gene co-expression network analysis (WGCNA) identified four modules significantly correlated with the IFC and CIE value. Moreover, we integrated functional enrichment analysis results based on DEGs, GSEA, and WGCNA conditions to identify candidate genes, and identified 47 and 53 candidate genes affecting the IFC and CIE value, respectively. The protein protein interaction (PPI) network analysis of candidate genes showed that 5 and 13 hub genes affect the IFC and CIE value, respectively. These genes mainly participate in various pathways related to lipid metabolism and redox reactions. Notably, four crucial hub genes () were shared for these two traits. After functional annotation of these four hub genes, we hypothesized that the axis could co-regulate lipid metabolism and the myoglobin redox response. Further research on these hub genes, especially the axis, will help to understand the molecular mechanism of the co-regulation of the IFC and CIE value, which will provide a theoretical basis for improving pork quality.
肌内脂肪含量(IFC)和肉色是猪肉品质的重要指标。IFC与肉色红度(CIE值)之间存在显著正相关,表明这两个性状可能受共同分子途径调控。为了鉴定调控这两个性状的候选基因、枢纽基因和信号通路,我们测量了147头杂交猪的IFC和CIE值,并选择极端表型个体进行转录组分析。结果显示,分别使用DESeq2、limma和edgeR软件包,发现485个和394个重叠的差异表达基因(DEG),分别影响IFC和CIE值。加权基因共表达网络分析(WGCNA)确定了与IFC和CIE值显著相关的四个模块。此外,我们整合了基于DEG、GSEA和WGCNA条件的功能富集分析结果以鉴定候选基因,分别鉴定出47个和53个影响IFC和CIE值的候选基因。候选基因的蛋白质-蛋白质相互作用(PPI)网络分析表明,分别有5个和13个枢纽基因影响IFC和CIE值。这些基因主要参与与脂质代谢和氧化还原反应相关的各种途径。值得注意的是,这两个性状共有四个关键枢纽基因()。对这四个枢纽基因进行功能注释后,我们推测该轴可能共同调节脂质代谢和肌红蛋白氧化还原反应。对这些枢纽基因,尤其是该轴的进一步研究,将有助于理解IFC和CIE值共同调控的分子机制,为改善猪肉品质提供理论依据。