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Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics MSPP
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Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics MSPP

Published on: October 30, 2016

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Mass Spectrometry-based PhyloProteomics (MSPP): A novel microbial typing Method

Andreas Erich Zautner1, Wycliffe Omurwa Masanta1, Michael Weig1

  • 1Institut für Medizinische Mikrobiologie, Universitätsmedizin Göttingen, Kreuzbergring 57, 37075 Göttingen, Germany.

Scientific Reports
|August 26, 2015
PubMed

Insights

Mass spectrometry-based phyloproteomics (MSPP) offers a novel microbial typing method using protein mass variations. This technique shows potential comparable to sequencing for identifying virulence and resistance factors.

Area of Science:

  • Microbiology
  • Proteomics
  • Bioinformatics

Background:

  • Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS) is becoming a standard for microbial identification in clinical labs.
  • Allelic variations in microbial proteins cause mass differences, enabling new typing strategies.

Purpose of the Study:

  • To introduce and demonstrate mass spectrometry-based phyloproteomics (MSPP) as a novel microbial typing method.
  • To compare the efficacy of MSPP with traditional multilocus sequence typing (MLST).

Main Methods:

  • MSPP utilizes amino acid sequence variations from allelic protein isoforms detected as mass shifts in MALDI-TOF spectra.
  • Hierarchical cluster analysis was employed to construct phyloproteomic dendrograms.
  • The method was applied to a collection of Campylobacter jejuni isolates.

Main Results:

  • MSPP successfully deduced amino acid sequences from biomarker masses for each isolate.
  • Phylogenetic analysis using MSPP yielded results comparable to laborious sequencing-based typing methods like MLST and whole genome sequencing (wgMLST).

Conclusions:

  • MSPP is a viable and efficient method for microbial typing, offering insights into evolutionary relatedness.
  • The technique holds significant potential for identifying virulence and antimicrobial resistance factors linked to microbial evolution.

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