Literature DB >> 15471245

Cell-signalling repression in bacterial quorum sensing.

J P Ward1, J R King, A J Koerber, J M Croft, R E Sockett, P Williams.   

Abstract

In this paper we expand on two mathematical models for investigating the role of three distinct repression mechanisms within the so-called quorum sensing (QS) cell-signalling process of bacterial colonies growing (1) in liquid cultures and (2) in biofilms. The repression mechanisms studied are (i) reduction of cell signalling molecule (QSM) production by a constitutively produced agent degrading the messenger RNA of a crucial enzyme (QSE), (ii) lower QSM production rate due to a negative feedback process and (iii) loss of QSMs by binding directly to a constitutively produced agent; the first two mechanisms are known to be employed by the pathogenic bacterium Pseudomonas aeruginosa and the last is relevant to the plant pathogen Agrobacterium tumefaciens. The modelling approach assumes that the bacterial colony consists of two sub-populations, namely down- and up-regulated cells, that differ in the rates at which they produce QSMs, while QSM concentration governs the switching between sub-populations. Parameter estimates are obtained by curve-fitting experimental data (involving P. aeruginosa growth in liquid culture, obtained as part of this study) to solutions of model (1). Asymptotic analysis of the model (1) shows that mechanism (i) is necessary, but not sufficient, to predict the observed saturation of QSM levels in an exponentially growing colony; either mechanism (ii) or (iii) also needs to be incorporated to obtain saturation. Consequently, only a fraction of the population will become up-regulated. Furthermore, only mechanisms (i) and (iii) affect the main timescales for up-regulation. Repression was found to play a less significant role in a biofilms, but mechanisms (i)-(iii) were nevertheless found to reduce the ultimate up-regulated cell fraction and mechanisms (i) and (iii) to increase the timescale for substantial up-regulation and to decrease the wave speed of an expanding front of QS activity.

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Year:  2004        PMID: 15471245     DOI: 10.1093/imammb/21.3.169

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  5 in total

1.  Cell-cell communication by quorum sensing and dimension-reduction.

Authors:  Johannes Müller; Christina Kuttler; Burkard A Hense; Michael Rothballer; Anton Hartmann
Journal:  J Math Biol       Date:  2006-08-05       Impact factor: 2.259

2.  Approximating the dynamics of communicating cells in a diffusive medium by ODEs-homogenization with localization.

Authors:  Johannes Müller; Hannes Uecker
Journal:  J Math Biol       Date:  2012-08-08       Impact factor: 2.259

3.  Information transmission in microbial and fungal communication: from classical to quantum.

Authors:  Sarangam Majumdar; Sukla Pal
Journal:  J Cell Commun Signal       Date:  2018-02-23       Impact factor: 5.782

Review 4.  Evolution of resistance to quorum-sensing inhibitors.

Authors:  Vipin C Kalia; Thomas K Wood; Prasun Kumar
Journal:  Microb Ecol       Date:  2013-11-06       Impact factor: 4.552

Review 5.  An evolving perspective on the Pseudomonas aeruginosa orphan quorum sensing regulator QscR.

Authors:  Sudha Chugani; Everett P Greenberg
Journal:  Front Cell Infect Microbiol       Date:  2014-10-28       Impact factor: 5.293

  5 in total

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