Data-independent microbial metabolomics with ambient ionization mass spectrometry

J Am Soc Mass Spectrom. 2013 Aug;24(8):1167-76. doi: 10.1007/s13361-013-0608-y. Epub 2013 Apr 9.

Abstract

Atmospheric ionization methods are ideally suited for prolonged MS/MS analysis. Data-independent MS/MS is a complementary technique for analysis of biological samples as compared to data-dependent analysis. Here, we pair data-independent MS/MS with the ambient ionization method nanospray desorption electrospray ionization (nanoDESI) for untargeted analysis of bacterial metabolites. Proof-of-principle data and analysis are illustrated by sampling Bacillus subtilis and Pseudomonas aeruginosa directly from Petri dishes. We found that this technique enables facile comparisons between strains via MS and MS/MS plots which can be translated to chemically informative molecular maps through MS/MS networking. The development of novel techniques to characterize microbial metabolites allows rapid and efficient analysis of metabolic exchange factors. This is motivated by our desire to develop novel techniques to explore the role of interspecies interactions in the environment, health, and disease. This is a contribution to honor Professor Catherine C. Fenselau in receiving the prestigious ASMS Award for a Distinguished Contribution in Mass Spectrometry for her pioneering work on microbial mass spectrometry.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacillus subtilis / chemistry
  • Bacillus subtilis / metabolism
  • Bacteria / chemistry*
  • Bacteria / metabolism*
  • Data Interpretation, Statistical
  • Fourier Analysis
  • Indicators and Reagents
  • Metabolomics / methods*
  • Pseudomonas aeruginosa / chemistry
  • Pseudomonas aeruginosa / metabolism
  • Solvents
  • Spectrometry, Mass, Electrospray Ionization
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Substances

  • Indicators and Reagents
  • Solvents