Dataset Information

Phenotypic adaptation of Pseudomonas aeruginosa by hacking siderophores produced by other microorganisms

ABSTRACT: This study aims at investigating the ability of Pseudomonas aeruginosa to detect the presence of exosiderophores in an epithelial cell infection assay. We show that the presence of exosiderophores induces the transcription and expression of their corresponding transporters, and that bacteria sense the presence of the chelators in their environment and adapt their phenotype to access iron via the exosiderophore present

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Homo Sapiens (human) Pseudomonas Aeruginosa Pao1

TISSUE(S): Cell Culture

SUBMITTER: Paola Cantero

LAB HEAD: Laurence SABATIER

PROVIDER: PXD015638 | Pride | 2020-02-17

REPOSITORIES: Pride

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Publications

Phenotypic Adaption of <i>Pseudomonas aeruginosa</i> by Hacking Siderophores Produced by Other Microorganisms.

Perraud Quentin Q Cantero Paola P Roche Béatrice B Gasser Véronique V Normant Vincent P VP Kuhn Lauriane L Hammann Philippe P Mislin Gaëtan L A GLA Ehret-Sabatier Laurence L Schalk Isabelle J IJ

Molecular & cellular proteomics : MCP 20200205 4

Bacteria secrete siderophores to access iron, a key nutrient poorly bioavailable and the source of strong competition between microorganisms in most biotopes. Many bacteria also use siderophores produced by other microorganisms (exosiderophores) in a piracy strategy. <i>Pseudomonas aeruginosa</i>, an opportunistic pathogen, produces two siderophores, pyoverdine and pyochelin, and is also able to use a panel of exosiderophores. We first investigated expression of the various iron-uptake pathways ...[more]

PMID: 32024770

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Project description:Background: Swine influenza is a highly contagious viral infection in pigs affecting the respiratory tract that can have significant economic impacts. Streptococcus suis serotype 2 is one of the most important post-weaning bacterial pathogens in swine causing different infections, including pneumonia. Both pathogens are important contributors to the porcine respiratory disease complex. Outbreaks of swine influenza virus with a significant level of co-infections due to S. suis have lately been reported. In order to analyze a global response to the dual infection, we carried out a comprehensive gene expression profiling using a microarray approach to study the swine tracheal epithelial (NPTr) cell response to a co-infection with H1N1 swine influenza virus (swH1N1) and S. suis serotype 2. Results: Gene clustering showed that the swH1N1 and swH1N1/S. suis infections modified the expression of genes in a similar manner. Additionally, infection of NPTr cells by S. suis alone did not result in many differentially expressed genes compared to mock-infected cells. However, some important genes coding for inflammatory mediators, such as chemokines, interleukins, cell adhesion molecules and eicosanoids, were significantly upregulated in the presence of both pathogens comparing to infection with each pathogen taken individually. This synergy may also be the consequence of an increased adhesion/invasion of epithelial cells previously infected by swH1N1, as recently reported. Conclusion: In a co-infection situation, influenza virus would replicate in the respiratory epithelium inducing an inflammatory infiltrate comprised of mononuclear cells and neutrophils. Despite that these cells are unable to phagocyte and kill S. suis, they are highly activated by this pathogen. S. suis is not considered a primary pulmonary pathogen, but an exacerbated production of pro-inflammatory mediators during a co-infection with influenza virus may be of critical importance in the pathogenesis and outcome of this respiratory disease complex. Total RNA obtained from NPTr cells infected with S. suis, H1N1, or S. suis & H1N1. Four replicates in both groups.

Dataset Information

Phenotypic adaptation of Pseudomonas aeruginosa by hacking siderophores produced by other microorganisms

Publications

Phenotypic Adaption of <i>Pseudomonas aeruginosa</i> by Hacking Siderophores Produced by Other Microorganisms.

Similar Datasets

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