Literature DB >> 23171249

The TOL network of Pseudomonas putida mt-2 processes multiple environmental inputs into a narrow response space.

Rafael Silva-Rocha1, Víctor de Lorenzo.   

Abstract

The TOL system encoded by plasmid pWW0 of Pseudomonas putida mt-2 is able to sense a large number of both exogenous and endogenous signals as inputs for the genetic and metabolic circuit that determines the biodegradation of m-xylene. However, whether the enormous combinatorial space of inputs is translated into an equally variable response landscape or is processed into very few outcomes remains unclear. To address this question, we set out to define the number of states that can be obtained by a network of a given set of genes under the control of a specified regulatory circuit that is exposed to all possible combinations of inputs. To this end, the TOL network and its regulatory wiring were formalized as a synchronous logic Boolean circuit that had 10 signals (i.e. pathway substrates, temperature, sugars, amino acids, metabolic regimes and global regulators) as possible inputs. The analysis of the attractors of the circuit using a satisfiability (SAT) algorithm revealed that only eight transcriptional states are reached in response to the 1024 possible combinations of stimuli. The experimental validation resulted in a refinement of the model through the addition of a previously unknown interaction that controls the meta catabolic pathway. The full induction of the two xyl operons occurred with only 1.6% of the input combinations, which suggests that the architecture of the network allows the expression of the xyl genes only under a very narrow range of conditions. These data not only explain much of the unusual layout of the TOL circuit but also strengthen the view of the regulatory circuits of environmental bacteria as digital decision-making devices.
© 2012 Society for Applied Microbiology and Blackwell Publishing Ltd.

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Year:  2012        PMID: 23171249     DOI: 10.1111/1462-2920.12014

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  2 in total

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Authors:  Hyobin Kim; Stalin Muñoz; Pamela Osuna; Carlos Gershenson
Journal:  Entropy (Basel)       Date:  2020-09-04       Impact factor: 2.524

2.  SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

Authors:  Claudine Chaouiya; Duncan Bérenguier; Sarah M Keating; Aurélien Naldi; Martijn P van Iersel; Nicolas Rodriguez; Andreas Dräger; Finja Büchel; Thomas Cokelaer; Bryan Kowal; Benjamin Wicks; Emanuel Gonçalves; Julien Dorier; Michel Page; Pedro T Monteiro; Axel von Kamp; Ioannis Xenarios; Hidde de Jong; Michael Hucka; Steffen Klamt; Denis Thieffry; Nicolas Le Novère; Julio Saez-Rodriguez; Tomáš Helikar
Journal:  BMC Syst Biol       Date:  2013-12-10
  2 in total

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