Back to Search
Start Over
Rationally rewiring the connectivity of the XylR/Pu regulatory node of the m-xylene degradation pathway in Pseudomonas putida.
- Source :
-
Integrative biology : quantitative biosciences from nano to macro [Integr Biol (Camb)] 2016 Apr 18; Vol. 8 (4), pp. 571-6. Date of Electronic Publication: 2016 Mar 10. - Publication Year :
- 2016
-
Abstract
- The XylR/Pu regulatory node of the m-xylene biodegradation pathway of Pseudomonas putida mt-2 is one of the most intricate cases of processing internal and external cues into a single controlling element. Despite this complexity, the performance of the regulatory system is determined in vivo only by the occupation of Pu by m-xylene-activated XylR and σ(54)-RNAP. The stoichiometry between these three elements defines natural system boundaries that outline a specific functional space. This space can be expanded artificially following different strategies that involve either the increase of XylR or σ(54) or both elements at the same time (each using a different inducer). In this work we have designed a new regulatory architecture that drives the system to reach a maximum performance in response to one single input. To this end, we first explored using a simple mathematical model whether the output of the XylR/Pu node could be amended by simultaneously increasing σ(54) and XylR in response to only natural inducers. The exacerbation of Pu activity in vivo was tested in strains bearing synthetic transposons encoding xylR and rpoN (the σ(54) coding gene) controlled also by Pu, thereby generating a P. putida strain with the XylR/Pu output controlled by two intertwined feed forward loops (FFLs). The lack of a negative feedback loop in the expression node enables Pu activity to reach its physiological maximum in response to a single input. Only competition for cell resources might ultimately check the upper activity limit of such a rewired m-xylene sensing device.
- Subjects :
- Bacterial Proteins genetics
DNA-Binding Proteins genetics
Escherichia coli genetics
Escherichia coli Proteins genetics
Genetic Engineering methods
Models, Genetic
Plasmids metabolism
Pseudomonas putida metabolism
RNA Polymerase Sigma 54 genetics
Sigma Factor metabolism
Synthetic Biology methods
Transcription Factors genetics
Transcription Factors metabolism
Gene Expression Regulation, Bacterial
Pseudomonas putida genetics
Xylenes metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1757-9708
- Volume :
- 8
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Integrative biology : quantitative biosciences from nano to macro
- Publication Type :
- Academic Journal
- Accession number :
- 26961967
- Full Text :
- https://doi.org/10.1039/c5ib00310e