Literature DB >> 20553553

How Pseudomonas aeruginosa adapts to various environments: a metabolomic approach.

Eliane Frimmersdorf1, Sonja Horatzek, Anya Pelnikevich, Lutz Wiehlmann, Dietmar Schomburg.   

Abstract

In addition to transcriptome and proteome studies, metabolome analysis represents a third complementary approach to identify metabolic pathways and adaptation processes. In order to elucidate basic principles of metabolic versatility of Pseudomonas aeruginosa, we investigated the metabolome profiles of two genetically and morphologically divergent strains, the reference strain PAO1 and the mucoid clinical isolate TBCF10839 in exponential growth and stationary phase in six different carbon sources (cadaverine, casamino acids, citrate, glucose, succinate and tryptone). Both strains exhibited strong similarities in mode of growth; the metabolite patterns were mainly defined by the growth condition. Besides this adaptive response, a basic core metabolism shapes the P. aeruginosa metabolome, independent of growth phase, carbon source and genetic background. This core metabolism includes pathways related to the central energy and amino acid metabolism. These consistently utilized metabolic pathways are closely related to glutamate which represents a dominant metabolite in all conditions analysed. In nutrient-depleted media of stationary phase cultures, P. aeruginosa maintains a specific repertoire of metabolic pathways that are related to the carbon source formerly available. This specified adaptation strategy combined with the invariant basic core metabolism may represent a fundamental requirement for the metabolic versatility of this organism.

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Year:  2010        PMID: 20553553     DOI: 10.1111/j.1462-2920.2010.02253.x

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


  53 in total

1.  Interdependency of Respiratory Metabolism and Phenazine-Associated Physiology in Pseudomonas aeruginosa PA14.

Authors:  Jeanyoung Jo; Alexa Price-Whelan; William Cole Cornell; Lars E P Dietrich
Journal:  J Bacteriol       Date:  2020-01-29       Impact factor: 3.490

Review 2.  Pseudomonad reverse carbon catabolite repression, interspecies metabolite exchange, and consortial division of labor.

Authors:  Heejoon Park; S Lee McGill; Adrienne D Arnold; Ross P Carlson
Journal:  Cell Mol Life Sci       Date:  2019-11-25       Impact factor: 9.261

3.  Breath metabolome of mice infected with Pseudomonas aeruginosa.

Authors:  Giorgia Purcaro; Mavra Nasir; Flavio A Franchina; Christiaan A Rees; Minara Aliyeva; Nirav Daphtary; Matthew J Wargo; Lennart K A Lundblad; Jane E Hill
Journal:  Metabolomics       Date:  2019-01-07       Impact factor: 4.290

4.  The antibacterial activity of Ga3+ is influenced by ligand complexation as well as the bacterial carbon source.

Authors:  Olena Rzhepishevska; Barbro Ekstrand-Hammarström; Maximilian Popp; Erik Björn; Anders Bucht; Anders Sjöstedt; Henrik Antti; Madeleine Ramstedt
Journal:  Antimicrob Agents Chemother       Date:  2011-09-26       Impact factor: 5.191

5.  Pseudomonas aeruginosa utilizes host polyunsaturated phosphatidylethanolamines to trigger theft-ferroptosis in bronchial epithelium.

Authors:  Haider H Dar; Yulia Y Tyurina; Karolina Mikulska-Ruminska; Indira Shrivastava; Hsiu-Chi Ting; Vladimir A Tyurin; James Krieger; Claudette M St Croix; Simon Watkins; Erkan Bayir; Gaowei Mao; Catherine R Armbruster; Alexandr Kapralov; Hong Wang; Matthew R Parsek; Tamil S Anthonymuthu; Abiola F Ogunsola; Becca A Flitter; Cody J Freedman; Jordan R Gaston; Theodore R Holman; Joseph M Pilewski; Joel S Greenberger; Rama K Mallampalli; Yohei Doi; Janet S Lee; Ivet Bahar; Jennifer M Bomberger; Hülya Bayır; Valerian E Kagan
Journal:  J Clin Invest       Date:  2018-09-10       Impact factor: 14.808

6.  Coupling between d-3-phosphoglycerate dehydrogenase and d-2-hydroxyglutarate dehydrogenase drives bacterial l-serine synthesis.

Authors:  Wen Zhang; Manman Zhang; Chao Gao; Yipeng Zhang; Yongsheng Ge; Shiting Guo; Xiaoting Guo; Zikang Zhou; Qiuyuan Liu; Yingxin Zhang; Cuiqing Ma; Fei Tao; Ping Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-21       Impact factor: 11.205

7.  Conceptual Model of Biofilm Antibiotic Tolerance That Integrates Phenomena of Diffusion, Metabolism, Gene Expression, and Physiology.

Authors:  Philip S Stewart; Ben White; Laura Boegli; Timothy Hamerly; Kerry S Williamson; Michael J Franklin; Brian Bothner; Garth A James; Steve Fisher; Francisco G Vital-Lopez; Anders Wallqvist
Journal:  J Bacteriol       Date:  2019-10-21       Impact factor: 3.490

8.  Genome-scale metabolic modeling of responses to polymyxins in Pseudomonas aeruginosa.

Authors:  Yan Zhu; Tobias Czauderna; Jinxin Zhao; Matthias Klapperstueck; Mohd Hafidz Mahamad Maifiah; Mei-Ling Han; Jing Lu; Björn Sommer; Tony Velkov; Trevor Lithgow; Jiangning Song; Falk Schreiber; Jian Li
Journal:  Gigascience       Date:  2018-04-01       Impact factor: 6.524

9.  Quantitative proteomic reveals gallium maltolate induces an iron-limited stress response and reduced quorum-sensing in Pseudomonas aeruginosa.

Authors:  Magdalena Piatek; Darren M Griffith; Kevin Kavanagh
Journal:  J Biol Inorg Chem       Date:  2020-10-30       Impact factor: 3.358

Review 10.  Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis.

Authors:  Elio Rossi; Ruggero La Rosa; Jennifer A Bartell; Rasmus L Marvig; Janus A J Haagensen; Lea M Sommer; Søren Molin; Helle Krogh Johansen
Journal:  Nat Rev Microbiol       Date:  2020-11-19       Impact factor: 60.633

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