Hao Tong, Song Zhentao, Zhang Mingzhi, Zhang Lingrui, Yang Jiarui, Li Jingjing, Sun Jinsheng
Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin 300387, China.
Tianjin Fisheries Research Institute, Tianjin 300211, China.
Genes (Basel). 2024 Mar 26;15(4):410. doi: 10.3390/genes15040410.
Integrated networks have become a new interest in genome-scale network research due to their ability to comprehensively reflect and analyze the molecular processes in cells. Currently, none of the integrated networks have been reported for higher organisms. is a typical aquatic animal that grows through ecdysis. Ecdysone has been identified to be a crucial regulator of ecdysis, but the influence factors and regulatory mechanisms of ecdysone synthesis in are still unclear. In this work, the genome-scale metabolic network and protein-protein interaction network of were integrated to reconstruct a metabolic-protein interaction integrated network (MPIN). The MPIN was used to analyze the influence factors of ecdysone synthesis through flux variation analysis. In total, 236 integrated reactions (IRs) were found to influence the ecdysone synthesis of which 16 IRs had a significant impact. These IRs constitute three ecdysone synthesis routes. It is found that there might be alternative pathways to obtain cholesterol for ecdysone synthesis in instead of absorbing it directly from the feeds. The MPIN reconstructed in this work is the first integrated network for higher organisms. The analysis based on the MPIN supplies important information for the mechanism analysis of ecdysone synthesis in .
整合网络因其能够全面反映和分析细胞中的分子过程，已成为基因组规模网络研究的新热点。目前，尚未有关于高等生物的整合网络的报道。[具体生物名称]是一种典型的通过蜕皮生长的水生动物。蜕皮激素已被确定为蜕皮的关键调节因子，但[具体生物名称]中蜕皮激素合成的影响因素和调节机制仍不清楚。在这项工作中，整合了[具体生物名称]的基因组规模代谢网络和蛋白质-蛋白质相互作用网络，以重建代谢-蛋白质相互作用整合网络（MPIN）。利用MPIN通过通量变化分析来分析蜕皮激素合成的影响因素。总共发现236个整合反应（IRs）影响蜕皮激素的合成，其中16个IRs有显著影响。这些IRs构成了三条蜕皮激素合成途径。研究发现，[具体生物名称]中可能存在替代途径来获取用于蜕皮激素合成的胆固醇，而不是直接从饲料中吸收。这项工作中重建的MPIN是首个针对高等生物的整合网络。基于MPIN的分析为[具体生物名称]中蜕皮激素合成的机制分析提供了重要信息。
