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pmid:25188255

Pronounced metabolic changes in adaptation to biofilm growth by Streptococcus pneumoniae.

Raymond N Allan · Paul Skipp · Johanna Jefferies · Stuart C Clarke · Saul N Faust · Luanne Hall-Stoodley · Jeremy Webb

PloS one · 2014 doi:10.1371/journal.pone.0107015

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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title
Pronounced metabolic changes in adaptation to biofilm growth by Streptococcus pneumoniae.
doi
10.1371/journal.pone.0107015
pmid
25188255
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Raymond N Allan
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Paul Skipp
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Johanna Jefferies
[3]
Stuart C Clarke
[4]
Saul N Faust
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Luanne Hall-Stoodley
[6]
Jeremy Webb
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PloS one
year
2014
abstract
Streptococcus pneumoniae accounts for a significant global burden of morbidity and mortality and biofilm development is increasingly recognised as important for colonization and infection. Analysis of protein expression patterns during biofilm development may therefore provide valuable insights to the understanding of pneumococcal persistence strategies and to improve vaccines. iTRAQ (isobaric tagging for relative and absolute quantification), a high-throughput gel-free proteomic approach which allows high resolution quantitative comparisons of protein profiles between multiple phenotypes, was used to interrogate planktonic and biofilm growth in a clinical serotype 14 strain. Comparative analyses of protein expression between log-phase planktonic and 1-day and 7-day biofilm cultures representing nascent and late phase biofilm growth were carried out. Overall, 244 proteins were identified, of which >80% were differentially expressed during biofilm development. Quantitatively and qualitatively, metabolic regulation appeared to play a central role in the adaptation from the planktonic to biofilm phenotype. Pneumococci adapted to biofilm growth by decreasing enzymes involved in the glycolytic pathway, as well as proteins involved in translation, transcription, and virulence. In contrast, proteins with a role in pyruvate, carbohydrate, and arginine metabolism were significantly increased during biofilm development. Downregulation of glycolytic and translational proteins suggests that pneumococcus adopts a covert phenotype whilst adapting to an adherent lifestyle, while utilization of alternative metabolic pathways highlights the resourcefulness of pneumococcus to facilitate survival in diverse environmental conditions. These metabolic proteins, conserved across both the planktonic and biofilm phenotypes, may also represent target candidates for future vaccine development and treatment strategies. Data are available via ProteomeXchange with identifier PXD001182.
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sections[11] "Peak list generation and database searching" paragraph 3
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The authors confirm that all data underlying the findings are fully available without restriction. All mass spectrometry data files are available from the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD001182.
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sections[20] "Data Availability" paragraph 2
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The authors confirm that all data underlying the findings are fully available without restriction. All mass spectrometry data files are available from the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the dataset identifier PXD001182.
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sections[0] "Abstract" paragraph 1
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iTRAQ (isobaric tagging for relative and absolute quantification), a high-throughput gel-free proteomic approach which allows high resolution quantitative comparisons of protein profiles between multiple phenotypes, was used to interrogate planktonic and biofilm growth in a clinical serotype 14 strain.
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Overall, 244 proteins were identified, of which >80% were differentially expressed during biofilm development.
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Data are available via ProteomeXchange with identifier PXD001182.
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The study used iTRAQ-based quantitative proteomics to compare planktonic, nascent 1-day biofilm, and late-phase 7-day biofilm cultures, identifying 244 proteins with more than 80% differentially expressed during biofilm development; the underlying mass-spectrometry data are available through ProteomeXchange under identifier PXD001182.
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Metabolic changes in adaptation to biofilm growth by streptococcus pneumoniae
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Complete file
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