Quantitative Aspect of Bacillus subtilis σB Regulatory Network—A Computational Simulation

0565503 - MBÚ 2023 RIV CH eng J - Journal Article
Vohradský, Jiří
Quantitative Aspect of Bacillus subtilis σB Regulatory Network—A Computational Simulation.
Biology. Roč. 11, č. 12 (2022), č. článku 11121729. E-ISSN 2079-7737
R&D Projects: GA MŠMT(CZ) LM2018131
Institutional support: RVO:61388971
Keywords : Bacillus subtilis sigma B * computer simulation * regulatory network
OECD category: Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Impact factor: 4.2, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2079-7737/11/12/1729

Bacillus subtilis is a model organism used to study molecular processes in prokaryotic cells. Sigma factor B, which associates with RNA polymerase, is one of the transcriptional regulators involved in the cell’s response to environmental stress. This study addresses the key question of how the levels of free SigB, which acts as the actual regulator of gene expression, are controlled. A set of chemical equations describing the network controlling the levels of free SigB was designed, leading to a set of differential equations quantifying the dynamics of the network. Utilizing a microarray-measured gene expression time series then allowed the simulation of the kinetic behavior of the network in real conditions and investigation of the role of phosphatases RsbU/RsbP transmitting the environmental signal and controlling the amounts of free SigB. Moreover, the role of kinetic constants controlling the formation of the molecular complexes, which consequently influence the amount of free SigB, was investigated. The simulation showed that although the total amount of sigma B is relatively high in the unstressed population, the amount of free SigB, which actually controls its regulon, is quite low. The simulation also allowed determination of the proportion of all the network members that were free or bound in complexes. While previously the qualitative features of B. subtilis SigB have been studied in detail, the kinetics of the network have mostly been ignored. In summary, the computational results based on experimental data provide a quantitative insight into the functioning of the SigB-dependent circuit and provide a roadmap for its further exploration in this industrially important bacterium.
Permanent Link: https://hdl.handle.net/11104/0337037