Dataset Information

Pseudomonas aeruginosa and adhesion

ABSTRACT: Pseudomonas aeruginosa is a pathogenic micro-organism responsible for many hospital-acquired infections. It is able to adhere to solid surfaces and develop an immobilised community or so-called biofilm. Many studies have been focusing on the use of specific materials to prevent the formation of these biofilms, but the reactivity of the bacteria in contact to surfaces remains unknown. In order to evaluate the impact of different materials on the physiology of Pseudomonas aeruginosa during the first stage of biofilm formation, i.e. adhesion, we investigated the total proteome of cells adhering to three materials: stainless steel, glass and polystyrene. Using tandem mass spectrometry performed at the PAPPSO proteomic platform, 930 proteins were identified, 70 of which were differentially expressed between the materials. Dysregulated proteins belonged to 19 PseudoCAP (Pseudomonas Community Annotation Project) functional classes, with a particular abundance of proteins involved in small molecule transport and membrane proteins. Notably, ten porins or porin precursors were under-produced in bacteria adhering to stainless steel when compared to those adhering to polystyrene and glass. Although adhesion to solid surfaces is an extracellular phenomenon, it involves not only extracellular proteins but also intracellular reactions, as observed with the dysregulation of 11 proteins involved in various metabolisms and five in protein translation. Overall, this work showed that during bacterial adhesion, P. aeruginosa senses the materials concerned and is able to modulate its physiology accordingly.

INSTRUMENT(S): LTQ Orbitap Discovery

ORGANISM(S): Pseudomonas Sp. 'pseudom. M1'

SUBMITTER: Morgan Guilbaud

LAB HEAD: Marie-Noëlle BELLON-FONTAINE

PROVIDER: PXD006881 | Pride | 2018-10-24

REPOSITORIES: Pride

ACCESS DATA

Publications

Proteomic Response of <i>Pseudomonas aeruginosa</i> PAO1 Adhering to Solid Surfaces.

Guilbaud Morgan M Bruzaud Jérôme J Bouffartigues Emeline E Orange Nicole N Guillot Alain A Aubert-Frambourg Anne A Monnet Véronique V Herry Jean-Marie JM Chevalier Sylvie S Bellon-Fontaine Marie-Noëlle MN

Frontiers in microbiology 20170803

<i>Pseudomonas aeruginosa</i> is a pathogenic micro-organism responsible for many hospital-acquired infections. It is able to adhere to solid surfaces and develop an immobilized community or so-called biofilm. Many studies have been focusing on the use of specific materials to prevent the formation of these biofilms, but the reactivity of the bacteria in contact to surfaces remains unknown. The aim of this study was to evaluate the impact of the abiotic surface on the physiology of adherent bact ...[more]

PMID: 28824592

Similar Datasets

Project description:Oberhardt2008 - Genome-scale metabolic network of Pseudomonas aeruginosa (iMO1056) This model is described in the article: Genome-scale metabolic network analysis of the opportunistic pathogen Pseudomonas aeruginosa PAO1. Oberhardt MA, Puchałka J, Fryer KE, Martins dos Santos VA, Papin JA. J. Bacteriol. 2008 Apr; 190(8): 2790-2803 Abstract: Pseudomonas aeruginosa is a major life-threatening opportunistic pathogen that commonly infects immunocompromised patients. This bacterium owes its success as a pathogen largely to its metabolic versatility and flexibility. A thorough understanding of P. aeruginosa's metabolism is thus pivotal for the design of effective intervention strategies. Here we aim to provide, through systems analysis, a basis for the characterization of the genome-scale properties of this pathogen's versatile metabolic network. To this end, we reconstructed a genome-scale metabolic network of Pseudomonas aeruginosa PAO1. This reconstruction accounts for 1,056 genes (19% of the genome), 1,030 proteins, and 883 reactions. Flux balance analysis was used to identify key features of P. aeruginosa metabolism, such as growth yield, under defined conditions and with defined knowledge gaps within the network. BIOLOG substrate oxidation data were used in model expansion, and a genome-scale transposon knockout set was compared against in silico knockout predictions to validate the model. Ultimately, this genome-scale model provides a basic modeling framework with which to explore the metabolism of P. aeruginosa in the context of its environmental and genetic constraints, thereby contributing to a more thorough understanding of the genotype-phenotype relationships in this resourceful and dangerous pathogen. This model is hosted on BioModels Database and identified by: MODEL1507180020. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Pseudomonas aeruginosa and adhesion

Publications

Proteomic Response of <i>Pseudomonas aeruginosa</i> PAO1 Adhering to Solid Surfaces.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure