M Bharathi, P Chellapandi
Molecular Systems Engineering Lab, Department of Bioinformatics, School of Life Sciences, Bharathidasan University, Tiruchirappalli, 620 024, Tamil Nadu, India.
Biochem Biophys Rep. 2019 Nov 12;20:100698. doi: 10.1016/j.bbrep.2019.100698. eCollection 2019 Dec.
A proteome-wide protein-protein interaction (PPI) network of M1 (MRU), a predominant rumen methanogen, was constructed from its metabolic genes using a gene neighborhood algorithm and then compared with closely related rumen methanogens Using proteome-wide PPI approach, we constructed network encompassed 2194 edges and 637 nodes interacting with 634 genes. Network quality and robustness of functional modules were assessed with gene ontology terms. A structure-function-metabolism mapping for each protein has been carried out with efforts to extract experimental PPI concomitant information from the literature. The results of our study revealed that some topological properties of its network were robust for sharing homologous protein interactions across heterotrophic and hydrogenotrophic methanogens. MRU proteome has shown to establish many PPI sub-networks for associated metabolic subsystems required to survive in the rumen environment. MRU genome found to share interacting proteins from its PPI network involved in specific metabolic subsystems distinct to heterotrophic and hydrogenotrophic methanogens. Across these proteomes, the interacting proteins from differential PPI networks were shared in common for the biosynthesis of amino acids, nucleosides, and nucleotides and energy metabolism in which more fractions of protein pairs shared with . Our comparative study expedites our knowledge to understand a complex proteome network associated with typical metabolic subsystems of MRU and to improve its genome-scale reconstruction in the future.
利用基因邻域算法,从主要瘤胃产甲烷菌M1(MRU)的代谢基因构建了全蛋白质组范围的蛋白质-蛋白质相互作用(PPI)网络,然后将其与密切相关的瘤胃产甲烷菌进行比较。采用全蛋白质组PPI方法,我们构建了一个包含2194条边和637个节点且与634个基因相互作用的网络。利用基因本体术语评估了网络质量和功能模块的稳健性。已对每个蛋白质进行了结构-功能-代谢映射,努力从文献中提取实验性PPI伴随信息。我们的研究结果表明,其网络的一些拓扑特性对于跨异养和氢营养产甲烷菌共享同源蛋白质相互作用具有稳健性。MRU蛋白质组已显示为在瘤胃环境中生存所需的相关代谢子系统建立了许多PPI子网。发现MRU基因组从其PPI网络中共享参与异养和氢营养产甲烷菌特有的特定代谢子系统的相互作用蛋白质。在这些蛋白质组中,来自差异PPI网络的相互作用蛋白质在氨基酸、核苷和核苷酸的生物合成以及能量代谢方面是共同共享的,其中更多比例的蛋白质对与之共享。我们的比较研究加快了我们对与MRU典型代谢子系统相关的复杂蛋白质组网络的理解,并有助于未来改进其基因组规模的重建。