Cited by 89Antimicrobial Resistance in StaphylococcusBacterial Genetics and BiotechnologyAdvanced Proteomics Techniques and Applications

Small colony variants of Staphylococcus aureus reveal distinct protein profiles

Kriegeskorte, André, König, Simone, Sander, Gunnar, Pirkl, Alexander, Mahabir, Esther, Proctor, Richard A., von Eiff, Christof, Peters, Georg +1 more·2011·PROTEOMICS

Abstract

Small‐colony variants (SCVs) of Staphylococcus aureus represent a slow‐growing subpopulation causing chronic and relapsing infections due to their physiological adaptation on an intracellular lifestyle. In this first proteomic study on physiological changes associated with a natural, clinically derived SCV, its proteomic profile was investigated in comparison to corresponding isogenic strains displaying normal (clinical wild‐type strain, complemented hemB mutant and spontaneous revertant of the clinical SCV) and SCV phenotypes (hemB mutant and gentamicin‐induced SCV). Applying an ultra‐high resolution chromatography and high mass accuracy MS E‐based label‐free relative and absolute protein quantification approach, the whole cytoplasmic proteome of this strain sextet was investigated in a growth phase‐controlled manner covering early‐exponential, late‐exponential and stationary phases. Of 1019 cytoplasmic proteins identified, 154 were found to be differently regulated between strains. All SCV phenotypes showed down‐regulation of the tricarboxylic acid (TCA) cycle‐related proteins and of a protein cluster involved in purine/pyrimidine and folate metabolism. In contrast to hemB mutant and gentamicin‐induced SCVs, the clinically derived SCVs showed no prominent up‐regulation of glycolytic proteins. The spontaneous switch into the normal phenotype resulted in up‐regulation of TCA cycle‐related parts, while oxidative stress‐related proteins were down‐regulated. However, the natural revertant from the clinical SCV retained also dominant protein features of the clinical SCV phenotype. In conclusion, physiological changes between normal and SCV S. aureus phenotypes are more complex than reflected by defined electron transport chain‐interrupting mutants and their complemented counterparts.

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Crossref · 10.1002/pmic.201000796

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Authors
Kriegeskorte, A., König, S., Sander, G., Pirkl, A., Mahabir, E., Proctor, R. A., von Eiff, C., Peters, G., & Becker, K.
Affiliations
  • University Hospital Münster (DE)
  • University of Münster (DE)
  • University of Cologne (DE)
  • University of Wisconsin–Madison (US)
Corresponding author
Becker, Karsten
Venue
PROTEOMICS
Publisher
Wiley
Published
2011-05-18
Volume
11
Issue
12
Pages
2476-2490
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2027622038
Cited by
89
References
55
Citations by year
2025: 2 · 2024: 4 · 2023: 9 · 2022: 5 · 2021: 3 · 2020: 4 · 2019: 11 · 2018: 9 · 2017: 5 · 2016: 6 · 2015: 6 · 2014: 10 · 2013: 9 · 2012: 6
FWCI
5.40
Type
journal article
Language
en
Open access
closed
Locations
  • PROTEOMICS (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (BE2546/1-1)
  • Bundesministerium für Bildung und Forschung (BMBF), Germany (01KI1009A)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antimicrobial Resistance in Staphylococcus
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
small colony variants, Staphylococcus aureus, TCA cycle, purine and pyrimidine metabolism, folate metabolism, spontaneous revertants, growth phase regulation, intracellular lifestyle, chronic infection, oxidative stress
MeSH terms
Bacterial Proteins, Chromatography, Citric Acid Cycle, Genotype, Gentamicins, Glycolysis, Heme, Mutation, Phenotype, Mass Spectrometry, Staphylococcal Infections, Staphylococcus aureus, Colony Count, Microbial, Gene Expression Regulation, Bacterial, Polymerase Chain Reaction, Genome, Bacterial, Gene Deletion, Gene Expression Profiling, Organisms, Genetically Modified, Proteomics, Genetic Association Studies

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