Cell-Free Identification of S. cerevisiae Strains by Analysis of Supernatant Using LC-MS

J Am Soc Mass Spectrom. 2018 Nov;29(11):2260-2267. doi: 10.1007/s13361-018-2046-3. Epub 2018 Aug 13.

Abstract

Current literature shows a gap for methods which can identify yeast sub-species (strains or serovars) in samples where there are no viable cells remaining. Presented here is a technique for the analysis of yeast supernatant, including solid phase extraction, data-dependent acquisition liquid chromatography/mass spectrometry (LC-MS), and two chemometric methods to identify and classify yeast strains. Five strains of Saccharomyces cerevisiae were successfully identified in various stages of growth. In addition, peptide/protein identification was performed, without the need for additional data acquisition. Graphical Abstract ᅟ.

Keywords: Biomarker; LC-MS; Microorganism identification; S. cerevisiae; Secreted peptides; Strain identification; Yeast.

MeSH terms

  • Algorithms
  • Cell-Free System / microbiology*
  • Chromatography, Liquid / methods*
  • Fungal Proteins / analysis
  • Fungal Proteins / chemistry
  • Mass Spectrometry / methods*
  • Peptides / analysis
  • Peptides / chemistry
  • Principal Component Analysis
  • Saccharomyces cerevisiae / chemistry*
  • Saccharomyces cerevisiae / classification*

Substances

  • Fungal Proteins
  • Peptides