ArticlePloS one2017
MALDI-TOF MS typing enables the classification of brewing yeasts of the genus Saccharomyces to major beer styles.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Typing of clinical and reference strains of Saccharomyces cerevisiae using pulsed-field gel electrophoresis and MALDI-TOF MS.Scientific reports · 2025Article
- Biomolecular Profiling by MALDI-TOF Mass Spectrometry in Food and Beverage Analyses.International journal of molecular sciences · 2022Review
- Identification and Typing of Strains of Wood-Rotting Basidiomycetes by Protein Profiling Using MALDI-TOF MS.Biotech (Basel (Switzerland)) · 2022Article
- Discrimination of Tilletia controversa from the T. caries/T. laevis complex by MALDI-TOF MS analysis of teliospores.Applied microbiology and biotechnology · 2022Article
- Predictive Potential of MALDI-TOF Analyses for Wine and Brewing Yeast.Microorganisms · 2022Article
- Evaluation of Microsatellite Typing, ITS Sequencing, AFLP Fingerprinting, MALDI-TOF MS, and Fourier-Transform Infrared Spectroscopy Analysis ofJournal of fungi (Basel, Switzerland) · 2020Article
- A re-evaluation of diastatic Saccharomyces cerevisiae strains and their role in brewing.Applied microbiology and biotechnology · 2020Review
- Introducing a Cell-Free Approach for the Identification of Brewing Yeast (Saccharomyces cerevisiae) Strains Using MALDI-TOF MS.Journal of the American Society for Mass Spectrometry · 2018Article
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4 authors.
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Abstract
Brewing yeasts of the genus Saccharomyces are either available from yeast distributor centers or from breweries employing their own "in-house strains". During the last years, the classification and characterization of yeasts of the genus Saccharomyces was achieved by using biochemical and DNA-based methods. The current lack of fast, cost-effective and simple methods to classify brewing yeasts to a beer type, may be closed by Matrix Assisted Laser Desorption/Ionization-Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) upon establishment of a database based on sub-proteome spectra from reference strains of brewing yeasts. In this study an extendable "brewing yeast" spectra database was established including 52 brewing yeast strains of the most important types of bottom- and top-fermenting strains as well as beer-spoiling S. cerevisiae var. diastaticus strains. 1560 single spectra, prepared with a standardized sample preparation method, were finally compared against the established database and investigated by bioinformatic analyses for similarities and distinctions. A 100% separation between bottom-, top-fermenting and S. cerevisiae var. diastaticus strains was achieved. Differentiation between Alt and Kölsch strains was not achieved because of the high similarity of their protein patterns. Whereas the Ale strains show a high degree of dissimilarity with regard to their sub-proteome. These results were supported by MDS and DAPC analysis of all recorded spectra. Within five clusters of beer types that were distinguished, and the wheat beer (WB) cluster has a clear separation from other groups. With the establishment of this MALDI-TOF MS spectra database proof of concept is provided of the discriminatory power of this technique to classify brewing yeasts into different major beer types in a rapid, easy way, and focus brewing trails accordingly. It can be extended to yeasts for specialty beer types and other applications including wine making or baking.
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