Accepted_test

Reconstruction of regulons for Methylotuvimicrobium alcaliphilum 20ZR based on an analysis of a bunch of transcriptomic data
by Sokolova T. S. | Kolmykov S. K. | Kulyashov M. A. | Khlebodarova T. M. | Kalyuzhnaya M. G. | Akberdin I. R. | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia | Biology Department and Viral Information Institute, San Diego State University, San Diego, USA | Department of Computational Biology, Scientific Center for Genetics and Life Sciences, Sirius University of Science and Technology, Sirius, Russia
Abstract ID: 264
Event: BGRS-abstracts
Sections: [Sym 8] Modeling and computer analysis of microbiological systems and processes

The study of methanotrophic bacteria represents a “hot” research field in microbial biotechnology, as these organisms have the potential to utilize methane as a carbon source for the production of useful target and value-added compounds. Complex interactions between transcription factors (TFs) and target genes are responsible for various molecular and phenotypic features of bacteria, including adaptation to changes in environmental and/or cultivation conditions. Despite the long-term history of methanotrophs’ investigation, both quantitative/qualitative data and knowledge of such interactions are very limited. However, the assumption that regulatory interactions between TFs and target genes are conservative among bacteria allows us to use the accumulated omics data to reconstruct the regulatory structure in closely related species. Herein, we employ the data on expression profiles for two closely related methanotrophs, Methylotuvimicrobium alcaliphilum 20ZR and Methylotuvimicrobium buryatense 5GB1, to construct the first version of regulons in methane-oxidizing bacteria. This finding sheds light on transcriptional modules regulating molecular machinery in methanotrophs at the first time, to the best of our knowledge. Furthermore, the outcome of this study can be essential to pave the way in the fruitful development of biotechnological applications of methane-oxidizing microorganisms.