Literature DB >> 20174684

Metabolic profiling of Pseudomonas aeruginosa demonstrates that the anti-sigma factor MucA modulates osmotic stress tolerance.

Volker Behrends1, Ben Ryall, Xinzhu Wang, Jacob G Bundy, Huw D Williams.   

Abstract

Metabolic footprinting has shown enormous potential as a phenotyping tool and we are interested in applying it to understand the physiology of the opportunistic pathogen Pseudomonas aeruginosa during its chronic infection of the lungs of cystic fibrosis patients. The selection pressures of surviving in the CF lung environment lead to genetic adaptations of the bacterium. A common adaptation is mutation of the mucA gene, resulting in a loss-of-function mutation to the anti-sigma factor MucA, which leads to a mucoid phenotype as a consequence of the overproduction of the extracellular polysaccharide alginate. However, apart from the mucoid phenotype little is known about the overall metabolic and physiological changes caused by mucA mutation. We investigated the pleiotropic metabolic effects of this mutation using time-resolved metabolic footprinting (extracellular metabolomics), and found changes in the levels of various metabolites associated with osmotic tolerance, including glycine-betaine, trehalose and glutamate. Physiological experiments confirmed that the isogenic mucA22 mutant is less resistant to osmotic stress than the parental PA01 wild-type strain, but only in the stationary phase of growth. Quantitative comparison of the endometabolome of the cells showed differences in the accumulation of osmoprotective metabolites by the wild-type and mucA22 mutant strains, suggesting a switch in osmo-protectant preference from glycine-betaine to trehalose.

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Year:  2010        PMID: 20174684     DOI: 10.1039/b918710c

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  17 in total

1.  Transcriptome dynamics of Pseudomonas putida KT2440 under water stress.

Authors:  Gamze Gülez; Arnaud Dechesne; Christopher T Workman; Barth F Smets
Journal:  Appl Environ Microbiol       Date:  2011-12-02       Impact factor: 4.792

2.  Cellular choline and glycine betaine pools impact osmoprotection and phospholipase C production in Pseudomonas aeruginosa.

Authors:  Liam F Fitzsimmons; Ken J Hampel; Matthew J Wargo
Journal:  J Bacteriol       Date:  2012-06-29       Impact factor: 3.490

3.  Pseudomonas aeruginosa in the Cystic Fibrosis Lung.

Authors:  John King; Ronan Murphy; Jane C Davies
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

4.  Effect of long-term starvation in salty microcosm on biofilm formation and motility in Pseudomonas aeruginosa.

Authors:  Hamouda Elabed; Makaoui Maatallah; Rim Hamza; Ibtissem Chakroun; Amina Bakhrouf; Kamel Gaddour
Journal:  World J Microbiol Biotechnol       Date:  2012-12-04       Impact factor: 3.312

Review 5.  Homeostasis and catabolism of choline and glycine betaine: lessons from Pseudomonas aeruginosa.

Authors:  Matthew J Wargo
Journal:  Appl Environ Microbiol       Date:  2013-01-25       Impact factor: 4.792

6.  Trehalose biosynthesis promotes Pseudomonas aeruginosa pathogenicity in plants.

Authors:  Slavica Djonović; Jonathan M Urbach; Eliana Drenkard; Jenifer Bush; Rhonda Feinbaum; Jonathan L Ausubel; David Traficante; Martina Risech; Christine Kocks; Michael A Fischbach; Gregory P Priebe; Frederick M Ausubel
Journal:  PLoS Pathog       Date:  2013-03-07       Impact factor: 6.823

7.  Hypertonic Saline Therapy in Cystic Fibrosis: Do Population Shifts Caused by the Osmotic Sensitivity of Infecting Bacteria Explain the Effectiveness of this Treatment?

Authors:  Huw D Williams; Volker Behrends; Jacob G Bundy; Ben Ryall; James E A Zlosnik
Journal:  Front Microbiol       Date:  2010-11-11       Impact factor: 5.640

Review 8.  Hypertonic saline in treatment of pulmonary disease in cystic fibrosis.

Authors:  Emer P Reeves; Kevin Molloy; Kerstin Pohl; Noel G McElvaney
Journal:  ScientificWorldJournal       Date:  2012-05-03

9.  Mapping global effects of the anti-sigma factor MucA in Pseudomonas fluorescens SBW25 through genome-scale metabolic modeling.

Authors:  Sven E F Borgos; Sergio Bordel; Håvard Sletta; Helga Ertesvåg; Øyvind Jakobsen; Per Bruheim; Trond E Ellingsen; Jens Nielsen; Svein Valla
Journal:  BMC Syst Biol       Date:  2013-03-11

10.  Metabolite profiling to characterize disease-related bacteria: gluconate excretion by Pseudomonas aeruginosa mutants and clinical isolates from cystic fibrosis patients.

Authors:  Volker Behrends; Thomas J Bell; Manuel Liebeke; Anne Cordes-Blauert; Syedah N Ashraf; Chandrika Nair; James E A Zlosnik; Huw D Williams; Jacob G Bundy
Journal:  J Biol Chem       Date:  2013-04-09       Impact factor: 5.157

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