Introducing a Cell-Free Approach for the Identification of Brewing Yeast (Saccharomyces cerevisiae) Strains Using...

Area of Science:

• Microbiology
• Analytical Chemistry
• Biotechnology

Background:

• Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a widely used method for microorganism identification.
• Current MALDI-TOF MS methods are primarily limited to species-level identification, with strain-level differentiation remaining a challenge.
• Accurate strain-level identification is crucial for various applications, including epidemiology, food safety, and biotechnology.

Purpose of the Study:

• To introduce and validate a novel "cell-free" approach for achieving Saccharomyces cerevisiae strain-level identification using MALDI-TOF MS.
• To demonstrate the specificity of peptide analytes secreted by different S. cerevisiae strains.
• To establish a robust data analysis workflow for accurate strain differentiation.

Main Methods:

• Culturing of multiple Saccharomyces cerevisiae strains under controlled conditions.
• Collection and analysis of cell-free supernatant containing secreted peptide analytes.
• Mass spectral data acquisition using MALDI-TOF MS.
• Data analysis employing open-source software, MALDIquant and Mass-Up.

Main Results:

• Distinct mass spectral patterns were generated from the cell-free supernatants of different S. cerevisiae strains.
• The developed data analysis workflow successfully differentiated between various S. cerevisiae strains based on their secreted peptide profiles.
• The cell-free approach demonstrated high accuracy and specificity in strain-level identification.

Conclusions:

• The cell-free MALDI-TOF MS approach effectively identifies Saccharomyces cerevisiae strains by analyzing secreted peptides.
• This method offers a promising alternative for high-throughput, accurate yeast strain differentiation.
• The study provides a proof of concept for applying this technique to other microorganisms.