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Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics (MSPP)
Published on: October 30, 2016
Strain-level typing and identification of bacteria using mass spectrometry-based proteomics
Roger Karlsson1, Max Davidson, Liselott Svensson-Stadler
1Nanoxis AB, Lennart Torstenssonsgatan 5, SE-40016, Gothenburg, Sweden. rogerk@chem.gu.se
Journal of Proteome Research
|March 29, 2012
Summary
This study introduces a new proteomics method using mass spectrometry to identify and differentiate bacterial strains, including antibiotic-resistant ones. The technique accurately distinguishes closely related species and strains, such as Helicobacter pylori.
Area of Science:
- Microbiology
- Proteomics
- Analytical Chemistry
Background:
- Increasing prevalence of antibiotic-resistant bacteria necessitates advanced detection and identification methods.
- Accurate differentiation of bacterial species and strains is crucial for effective treatment and control.
Purpose of the Study:
- To develop and validate a mass spectrometry-based proteomics approach for bacterial strain discrimination.
- To enable subspecies-level identification of closely related bacterial strains.
Main Methods:
- Lipid-based protein immobilization (LPI) to capture intact bacterial cells via membrane-gold interactions in a FlowCell.
- On-FlowCell enzymatic digestion to generate peptides from bound cells.
- Liquid chromatography-mass spectrometry (LC-MS) for peptide identification and database matching.
Main Results:
- Demonstrated reliable typing and identification of closely related bacterial strains.
- Successfully applied the method for subspecies-level discrimination of Helicobacter pylori strains.
- Strain-specific peptides were identified for accurate differentiation.
Conclusions:
- The developed mass spectrometry proteomics approach offers a reliable method for bacterial strain identification.
- This technique is valuable for differentiating closely related species and strains, including those with virulence and resistance.
- The method shows promise for clinical and research applications in microbiology.
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