How mathematical modelling elucidates signalling in B. subtilis

Abstract : Appropriate stimulus perception, signal processing and transduction ensure optimal adaptation of bacteria to environmental challenges. In the Gram-positive model bacterium Bacillus subtilis signalling networks and molecular interactions therein are well studied, making this species a suitable candidate for the application of mathematical modelling. Here, we review systems biology approaches, focussing on chemotaxis, sporulation, σB-dependent general stress response and competence. Processes like chemotaxis and Z-ring assembly depend critically on the subcellular localisation of proteins. Environmental response strategies, including sporulation and competence, are characterised by phenotypic heterogeneity in isogenic cultures. Among further successful examples of mathematical modelling are investigations that have demonstrated how operon structure and signalling dynamics are intricately interwoven to establish optimal responses. These interdisciplinary approaches offer new insights into the response of B. subtilis to environmental challenges. The case studies presented demonstrate modelling as a tool to increase the understanding of complex systems, to help formulating hypotheses and to guide the design of more directed experiments that test predictions.
Mots-clés : Life Sciences
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00563452
Contributor : Hal Peer <>
Submitted on : Saturday, February 5, 2011 - 2:52:14 AM
Last modification on : Tuesday, August 27, 2019 - 11:40:06 AM
Long-term archiving on : Thursday, March 30, 2017 - 6:49:45 AM

File

PEER_stage2_10.1111%2Fj.1365-2...
Files produced by the author(s)

Identifiers

Collections

Citation

Ulf Winfried Liebal, Thomas Millat, Imke G. de Jong, Oscar P Kuipers, Uwe Völker, et al.. How mathematical modelling elucidates signalling in B. subtilis. Molecular Microbiology, Wiley, 2010, ⟨10.1111/j.1365-2958.2010.07283.x⟩. ⟨hal-00563452⟩

Share

Metrics

Record views

114

Files downloads

186