Acid stress response of Staphylococcus xylosus elicits changes in the proteome and cellular membrane.


Journal

Journal of applied microbiology
ISSN: 1365-2672
Titre abrégé: J Appl Microbiol
Pays: England
ID NLM: 9706280

Informations de publication

Date de publication:
May 2019
Historique:
received: 27 09 2018
revised: 29 01 2019
accepted: 11 02 2019
pubmed: 16 2 2019
medline: 29 5 2019
entrez: 16 2 2019
Statut: ppublish

Résumé

Coagulase-negative Staphylococcus xylosus strains are used as starter organisms for sausage fermentation. As those strains have to cope with low pH-values during fermentation, the aim of this study was to identify the acid adaptation mechanisms of S. xylosus TMW 2.1523 previously isolated from salami. A comparative proteomic study between two different acid tolerant mutants was performed. Therefore, both S. xylosus mutants were grown pH-static under acid stress (pH 5·1) and reference conditions (pH 7·0). Proteomic data were supported by metabolite and cell membrane lipid analysis. Staphylococcus xylosus acid stress adaptation is mainly characterized by a metabolic change towards neutral metabolites, enhanced urease activity, reduced ATP consumption, an increase in membrane fluidity and changes in the membrane thickness. This study corroborates mechanisms as previously described for other Gram-positive bacteria. Additionally, the adjustment of membrane structure and composition in S. xylosus TMW 2.1523 play a prominent role in its acid adaptation. This study demonstrates for the first time changes in the membrane lipid composition due to acid stress adaptation in staphylococci.

Identifiants

pubmed: 30767340
doi: 10.1111/jam.14224
doi:

Substances chimiques

Bacterial Proteins 0
Membrane Proteins 0
Proteome 0

Banques de données

GENBANK
['CP015546']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1480-1495

Informations de copyright

© 2019 The Society for Applied Microbiology.

Auteurs

S Kolbeck (S)

Lehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.

J Behr (J)

Leibniz-Institut für Lebensmittel-Systembiologie, Technische Universität München, Freising, Germany.

R F Vogel (RF)

Lehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.

C Ludwig (C)

Bayrisches Zentrum für biomolekulare Massenspektrometrie (BayBioMS), Freising, Germany.

M A Ehrmann (MA)

Lehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.

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Classifications MeSH