Literature DB >> 16824103

Signalling network with a bistable hysteretic switch controls developmental activation of the sigma transcription factor in Bacillus subtilis.

Oleg A Igoshin1, Chester W Price, Michael A Savageau.   

Abstract

The sporulation process of the bacterium Bacillus subtilis unfolds by means of separate but co-ordinated programmes of gene expression within two unequal cell compartments, the mother cell and the smaller forespore. sigmaF is the first compartment-specific transcription factor activated during this process, and it is controlled at the post-translational level by a partner-switching mechanism that restricts sigmaF activity to the forespore. The crux of this mechanism lies in the ability of the anti-sigma factor SpoIIAB (AB) to form alternative complexes either with sigmaF, holding it in an inactive form, or with the anti-anti-sigma factor SpoIIAA (AA) and a nucleotide, either ATP or ADP. In the complex with AB and ATP, AA is phosphorylated on a serine residue and released, making AB available to capture sigmaF in an inactive complex. Subsequent activation of sigmaF requires the intervention of the SpoIIE serine phosphatase to dephosphorylate AA, which can then attack the AB-sigmaF complex to induce the release of sigmaF. By incorporating biochemical, biophysical and genetic data from the literature we have constructed an integrative mathematical model of this partner-switching network. The model predicts that the self-enhancing formation of a long-lived complex of AA, AB and ADP transforms the network into an essentially irreversible hysteretic switch, thereby explaining the sharp, robust and irreversible activation of sigmaF in the forespore compartment. The model also clarifies the contributions of the partly redundant mechanisms that ensure correct spatial and temporal activation of sigmaF, reproduces the behaviour of various mutants and makes strong, testable predictions.

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Year:  2006        PMID: 16824103     DOI: 10.1111/j.1365-2958.2006.05212.x

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  24 in total

1.  Loss of compartmentalization of σ(E) activity need not prevent formation of spores by Bacillus subtilis.

Authors:  Vasant K Chary; Panagiotis Xenopoulos; Avigdor Eldar; Patrick J Piggot
Journal:  J Bacteriol       Date:  2010-08-27       Impact factor: 3.490

2.  Distinctive topologies of partner-switching signaling networks correlate with their physiological roles.

Authors:  Oleg A Igoshin; Margaret S Brody; Chester W Price; Michael A Savageau
Journal:  J Mol Biol       Date:  2007-04-14       Impact factor: 5.469

3.  Osmosensory signaling in Mycobacterium tuberculosis mediated by a eukaryotic-like Ser/Thr protein kinase.

Authors:  Stavroula K Hatzios; Christina E Baer; Tige R Rustad; M Sloan Siegrist; Jennifer M Pang; Corrie Ortega; Tom Alber; Christoph Grundner; David R Sherman; Carolyn R Bertozzi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-05       Impact factor: 11.205

4.  Hysteretic and graded responses in bacterial two-component signal transduction.

Authors:  Oleg A Igoshin; Rui Alves; Michael A Savageau
Journal:  Mol Microbiol       Date:  2008-03-19       Impact factor: 3.501

5.  Red light activates the sigmaB-mediated general stress response of Bacillus subtilis via the energy branch of the upstream signaling cascade.

Authors:  Marcela Avila-Pérez; Jeroen B van der Steen; Remco Kort; Klaas J Hellingwerf
Journal:  J Bacteriol       Date:  2009-11-30       Impact factor: 3.490

6.  Towards a dynamical network view of brain ischemia and reperfusion. Part II: a post-ischemic neuronal state space.

Authors:  Donald J Degracia
Journal:  J Exp Stroke Transl Med       Date:  2010

7.  Ultrasensitivity of the Bacillus subtilis sporulation decision.

Authors:  Jatin Narula; Seram N Devi; Masaya Fujita; Oleg A Igoshin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-19       Impact factor: 11.205

Review 8.  Non-transcriptional regulatory processes shape transcriptional network dynamics.

Authors:  J Christian J Ray; Jeffrey J Tabor; Oleg A Igoshin
Journal:  Nat Rev Microbiol       Date:  2011-10-11       Impact factor: 60.633

9.  Quantifying global tolerance of biochemical systems: design implications for moiety-transfer cycles.

Authors:  Pedro M B M Coelho; Armindo Salvador; Michael A Savageau
Journal:  PLoS Comput Biol       Date:  2009-03-20       Impact factor: 4.475

10.  Identifying quantitative operation principles in metabolic pathways: a systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses.

Authors:  Gonzalo Guillén-Gosálbez; Albert Sorribas
Journal:  BMC Bioinformatics       Date:  2009-11-24       Impact factor: 3.169

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