He Xinxin, Xu Jinmei, Liu Yanan, Guo Xing, Wei Wei, Xing Chaohui, Zhang Hong, Wang Hao, Liu Meng, Jiang Runshen
College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China.
Animals (Basel). 2024 Jan 26;14(3):402. doi: 10.3390/ani14030402.
Inosine monophosphate (IMP) is a substance that enhances flavor and plays a crucial role in the umami taste of chicken muscle. It is also an influential factor in determining chicken's economic value. However, the molecular regulatory network underlying the IMP content in muscle remains unclear. To address this issue, we performed transcriptome sequencing on 20 pectoralis major muscle samples from 120-day-old Guangde feathered-leg chicken and used weighted gene co-expression network analysis (WGCNA) to identify key regulatory factors that influence IMP content. The weighted gene co-expression network was constructed using a total of 16,344 genes, leading to the identification of 20 co-expression gene modules. Among the modules that were identified, it was observed that the purple module (R = -0.51, = 0.02) showed a significant negative correlation with the IMP content. This suggests that the genes within the purple module had the ability to regulate the IMP content. A total of 68 hub genes were identified in the purple module through gene significance (GS) > 0.2 and module membership (MM) > 0.8. The STRING database was used for a protein-protein interaction (PPI) network of hub genes. Furthermore, troponin I type 1 (), myozenin 2 (), myosin light chain 2 regulatory cardiac slow (), and myosin light chain 3 regulatory cardiac slow () involved in the "ATP-dependent activity", "cAMP signaling pathway" and "cGMP-PKG signaling pathway" were identified as central regulators that contribute to IMP content. These results offer valuable information into the gene expression and regulation that affects IMP content in muscle.
肌苷一磷酸(IMP)是一种增强风味的物质,在鸡肉的鲜味中起着关键作用。它也是决定鸡肉经济价值的一个重要因素。然而,肌肉中IMP含量的分子调控网络仍不清楚。为了解决这个问题,我们对120日龄的广德毛腿鸡的20个胸大肌样本进行了转录组测序,并使用加权基因共表达网络分析(WGCNA)来识别影响IMP含量的关键调控因子。使用总共16344个基因构建了加权基因共表达网络,从而识别出20个共表达基因模块。在识别出的模块中,观察到紫色模块(R = -0.51,P = 0.02)与IMP含量呈显著负相关。这表明紫色模块中的基因具有调节IMP含量的能力。通过基因显著性(GS)> 0.2和模块成员度(MM)> 0.8在紫色模块中总共识别出68个枢纽基因。使用STRING数据库构建枢纽基因的蛋白质-蛋白质相互作用(PPI)网络。此外,参与“ATP依赖性活性”、“cAMP信号通路”和“cGMP-PKG信号通路”的肌钙蛋白I 1型()、肌动蛋白结合蛋白2()、心肌慢肌球蛋白轻链2调节型()和心肌慢肌球蛋白轻链3调节型()被确定为影响IMP含量的核心调节因子。这些结果为影响肌肉中IMP含量的基因表达和调控提供了有价值的信息。