Literature DB >> 31711645

Evaluation of specificity determinants in Mycobacterium tuberculosis σ/anti-σ factor interactions.

Anil Kumar Jamithireddy1, Ashish Runthala2, Balasubramanian Gopal3.   

Abstract

Extra Cytoplasmic Function (ECF) σ factor/regulatory protein (anti-σ factor) pairs govern environment mediated changes in gene expression in bacteria. The release of the ECF σ factor from an inactive σ/anti-σ factor complex is triggered by specific environmental stimuli. The free σ factor then associates with the RNA polymerase and drives the expression of genes in its target regulon. Multiple ECF σ/anti-σ pairs ensure calibrated changes in the expression profile by correlating diverse environmental stimuli with changes in the intracellular levels of different ECF σ factors. Specificity in σ/anti-σ factor interaction is thus essential for accurate signal transduction. Here we describe experiments to evaluate interactions between different M. tuberculosis σ and anti-σ proteins in vitro. The interaction parameters suggest that cross-talk between non-cognate σ/anti-σ pairs is likely. The sequence and conformational determinants that govern interaction specificity in a σ/anti-σ complex are not immediately evident due to substantial structural conservation. Sequence-structure analysis of all σ/anti-σ pairs suggest that conserved residues are not the primary determinants of σ/anti-σ interactions-a finding that suggests a potential route to set tolerance limits in interaction specificity. Non-specific σ/anti-σ interactions are likely to be biologically significant as it can contribute to heterogeneity in cellular responses in a bacterial population under less stringent requirements. This finding is relevant for synthetic biology approaches to engineer bacteria using σ/anti-σ transcription initiation modules for diverse applications in biotechnology.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Protein-protein interactions; Signal transduction; Transcription regulation

Year:  2019        PMID: 31711645     DOI: 10.1016/j.bbrc.2019.10.198

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  2 in total

1.  Probabilistic divergence of a template-based modelling methodology from the ideal protocol.

Authors:  Ashish Runthala
Journal:  J Mol Model       Date:  2021-01-07       Impact factor: 1.810

Review 2.  Extracytoplasmic Function σ Factors as Tools for Coordinating Stress Responses.

Authors:  Rubén de Dios; Eduardo Santero; Francisca Reyes-Ramírez
Journal:  Int J Mol Sci       Date:  2021-04-09       Impact factor: 5.923

  2 in total

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