Literature DB >> 22845424

Stochasticity of TOL plasmid catabolic promoters sets a bimodal expression regime in Pseudomonas putida mt-2 exposed to m-xylene.

Rafael Silva-Rocha1, Víctor de Lorenzo.   

Abstract

The expression dynamics of the catabolic promoters of the TOL plasmid pWW0 has been examined in single cells of Pseudomonas putida mt-2 exposed to m-xylene. To this end, we employed an á la carte bi-cistronic gfp-lacZ reporter system for generating monocopy transcriptional fusions to each of the four promoters (Pr, Ps, Pu and Pm) of the regulatory network. Whereas expression of xylR (the master regulatory gene of the TOL system) behaved in a unimodal fashion, the activation of Pu and Pm displayed a high degree of stochasticity. This event resulted in a time-dependent shift in the bacterial population between two induction states without intermediate expression levels. Bimodality of the Pm promoter for the lower TOL pathway was largely due to the propagation of the Ps output throughout the network, which caused stochastic overproduction of the second regulator of the system, XylS. Surprisingly, activation of Pm by the form of XylS that was bound to the pathway intermediate 3-methylbenzoate was relatively minor. These stochastic phenomena in response to m-xylene disappeared in the stationary phase. Taken together, the data suggests that genetically homogeneous populations of P. putida mt-2 employ a strategy of phenotypic variation (metabolic bet-hedging) when confronted with mixtures of nutrients.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22845424     DOI: 10.1111/j.1365-2958.2012.08184.x

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


  5 in total

1.  Decoding the genetic networks of environmental bacteria: regulatory moonlighting of the TOL system of Pseudomonas putida mt-2.

Authors:  Rafael Silva-Rocha; Danilo Pérez-Pantoja; Víctor de Lorenzo
Journal:  ISME J       Date:  2012-08-16       Impact factor: 10.302

Review 2.  A functional perspective on phenotypic heterogeneity in microorganisms.

Authors:  Martin Ackermann
Journal:  Nat Rev Microbiol       Date:  2015-07-06       Impact factor: 60.633

3.  Transcription factor levels enable metabolic diversification of single cells of environmental bacteria.

Authors:  Raúl Guantes; Ilaria Benedetti; Rafael Silva-Rocha; Víctor de Lorenzo
Journal:  ISME J       Date:  2015-12-04       Impact factor: 10.302

Review 4.  Cooperation in microbial communities and their biotechnological applications.

Authors:  Matteo Cavaliere; Song Feng; Orkun S Soyer; José I Jiménez
Journal:  Environ Microbiol       Date:  2017-05-29       Impact factor: 5.491

Review 5.  Boosting Secondary Metabolite Production and Discovery through the Engineering of Novel Microbial Biosensors.

Authors:  Ulysses Amancio de Frias; Greicy Kelly Bonifacio Pereira; María-Eugenia Guazzaroni; Rafael Silva-Rocha
Journal:  Biomed Res Int       Date:  2018-07-09       Impact factor: 3.411

  5 in total

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