Taboada-Castro Hermenegildo, Gil Jeovanis, Gómez-Caudillo Leopoldo, Escorcia-Rodríguez Juan Miguel, Freyre-González Julio Augusto, Encarnación-Guevara Sergio
Proteomics Laboratory, Program of Functional Genomics of Prokaryotes, Center for Genomic Sciences, National Autonomous University of Mexico, Cuernavaca, Morelos, Mexico.
Division of Oncology, Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Lund, Sweden.
Front Microbiol. 2022 Oct 13;13:947678. doi: 10.3389/fmicb.2022.947678. eCollection 2022.
A comparative proteomic study at 6 h of growth in minimal medium (MM) and bacteroids at 18 days of symbiosis of CFN42 with the leguminous plant was performed. A gene ontology classification of proteins in MM and bacteroid, showed 31 and 10 pathways with higher or equal than 30 and 20% of proteins with respect to genome content per pathway, respectively. These pathways were for energy and environmental compound metabolism, contributing to understand how is adapted to the different conditions. Metabolic maps based on orthology of the protein profiles, showed 101 and 74 functional homologous proteins in the MM and bacteroid profiles, respectively, which were grouped in 34 different isoenzymes showing a great impact in metabolism by covering 60 metabolic pathways in MM and symbiosis. Taking advantage of co-expression of transcriptional regulators (TF's) in the profiles, by selection of genes whose matrices were clustered with matrices of TF's, Transcriptional Regulatory networks (TRN´s) were deduced by the first time for these metabolic stages. In these clustered TF-MM and clustered TF-bacteroid networks, containing 654 and 246 proteins, including 93 and 46 TFs, respectively, showing valuable information of the TF's and their regulated genes with high stringency. Isoenzymes were specific for adaptation to the different conditions and a different transcriptional regulation for MM and bacteroid was deduced. The parameters of the TRNs of these expected biological networks and biological networks of and segregate from the random theoretical networks. These are useful data to design experiments on TF gene-target relationships for bases to construct a TRN.
对CFN42与豆科植物共生18天的类菌体以及在基本培养基(MM)中生长6小时的菌体进行了比较蛋白质组学研究。对MM和类菌体中的蛋白质进行基因本体分类,结果显示,相对于每条途径的基因组含量,分别有31条和10条途径中蛋白质含量高于或等于30%和20%。这些途径涉及能量和环境化合物代谢,有助于了解其如何适应不同条件。基于蛋白质谱同源性的代谢图谱显示,MM和类菌体图谱中分别有101个和74个功能同源蛋白,它们被归为34种不同的同工酶,通过覆盖MM和共生过程中的60条代谢途径,对代谢产生了重大影响。利用转录调节因子(TF)在图谱中的共表达,通过选择其矩阵与TF矩阵聚类的基因,首次推导了这些代谢阶段的转录调控网络(TRN)。在这些聚类的TF-MM和聚类的TF-类菌体网络中,分别包含654个和246个蛋白质,其中包括93个和46个TF,显示了TF及其调控基因的严格性的有价值信息。同工酶对适应不同条件具有特异性,并推导了MM和类菌体的不同转录调控。这些预期生物网络和生物网络的TRN参数与随机理论网络分离。这些是有用的数据,可用于设计关于TF基因-靶点关系的实验,为构建TRN奠定基础。