Evidence map›Paper›PMID 28792944›Full record

ArticlePloS one2017

MALDI-TOF MS typing enables the classification of brewing yeasts of the genus Saccharomyces to major beer styles.

Alexander Lauterbach, Julia C Usbeck, Jürgen Behr, Rudi F Vogel

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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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Alexander LauterbachLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Julia C UsbeckLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Jürgen BehrLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.
Rudi F VogelLehrstuhl für Technische Mikrobiologie, Technische Universität München, Freising, Germany.ORCID http://orcid.org/0000-0001-6873-5386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BeerFermentationSaccharomycesSaccharomyces cerevisiaeSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID28792944
PMCPMC5549903

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.