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Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS

INTRODUCTION: Producing a wide range of volatile secondary metabolites Saccharomyces cerevisiae influences wine, beer, and bread sensory quality and hence selection of strains based on their volatilome becomes pivotal. A rapid on-line method for volatilome assessing of strains growing on standard so...

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Autores principales: Khomenko, Iuliia, Stefanini, Irene, Cappellin, Luca, Cappelletti, Valentina, Franceschi, Pietro, Cavalieri, Duccio, Märk, Tilmann D., Biasioli, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579147/
https://www.ncbi.nlm.nih.gov/pubmed/28932179
http://dx.doi.org/10.1007/s11306-017-1259-y
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author Khomenko, Iuliia
Stefanini, Irene
Cappellin, Luca
Cappelletti, Valentina
Franceschi, Pietro
Cavalieri, Duccio
Märk, Tilmann D.
Biasioli, Franco
author_facet Khomenko, Iuliia
Stefanini, Irene
Cappellin, Luca
Cappelletti, Valentina
Franceschi, Pietro
Cavalieri, Duccio
Märk, Tilmann D.
Biasioli, Franco
author_sort Khomenko, Iuliia
collection PubMed
description INTRODUCTION: Producing a wide range of volatile secondary metabolites Saccharomyces cerevisiae influences wine, beer, and bread sensory quality and hence selection of strains based on their volatilome becomes pivotal. A rapid on-line method for volatilome assessing of strains growing on standard solid media is still missing. OBJECTIVES: Methodologically, the aim of this study was to demonstrate the automatic, real-time, direct, and non-invasive monitoring of yeast volatilome in order to rapidly produce a robust large data set encompassing measurements relative to many strains, replicates and time points. The fundamental scope was to differentiate volatilomes of genetically similar strains of oenological relevance during the whole growing process. METHOD: Six different S. cerevisiae strains (four meiotic segregants of a natural strain and two laboratory strains) inoculated onto a solid medium have been monitored on-line by Proton Transfer Reaction—Time-of-Flight—Mass Spectrometry for 11 days every 4 h (3540 time points). FastGC PTR-ToF-MS was performed during the stationary phase on the 5th day. RESULTS: More than 300 peaks have been extracted from the average spectra associated to each time point, 70 have been tentatively identified. Univariate and multivariate analyses have been performed on the data matrix (3640 measurements × 70 peaks) highlighting the volatilome evolution and strain-specific features. Laboratory strains with opposite mating type, and meiotic segregants of the same natural strain showed significantly different profiles. CONCLUSIONS: The described set-up allows the on-line high-throughput screening of yeast volatilome of S. cerevisiae strains and the identification of strain specific features and new metabolic pathways, discriminating also genetically similar strains, thus revealing a novel method for strain phenotyping, identification, and quality control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-017-1259-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-55791472017-09-18 Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS Khomenko, Iuliia Stefanini, Irene Cappellin, Luca Cappelletti, Valentina Franceschi, Pietro Cavalieri, Duccio Märk, Tilmann D. Biasioli, Franco Metabolomics Original Article INTRODUCTION: Producing a wide range of volatile secondary metabolites Saccharomyces cerevisiae influences wine, beer, and bread sensory quality and hence selection of strains based on their volatilome becomes pivotal. A rapid on-line method for volatilome assessing of strains growing on standard solid media is still missing. OBJECTIVES: Methodologically, the aim of this study was to demonstrate the automatic, real-time, direct, and non-invasive monitoring of yeast volatilome in order to rapidly produce a robust large data set encompassing measurements relative to many strains, replicates and time points. The fundamental scope was to differentiate volatilomes of genetically similar strains of oenological relevance during the whole growing process. METHOD: Six different S. cerevisiae strains (four meiotic segregants of a natural strain and two laboratory strains) inoculated onto a solid medium have been monitored on-line by Proton Transfer Reaction—Time-of-Flight—Mass Spectrometry for 11 days every 4 h (3540 time points). FastGC PTR-ToF-MS was performed during the stationary phase on the 5th day. RESULTS: More than 300 peaks have been extracted from the average spectra associated to each time point, 70 have been tentatively identified. Univariate and multivariate analyses have been performed on the data matrix (3640 measurements × 70 peaks) highlighting the volatilome evolution and strain-specific features. Laboratory strains with opposite mating type, and meiotic segregants of the same natural strain showed significantly different profiles. CONCLUSIONS: The described set-up allows the on-line high-throughput screening of yeast volatilome of S. cerevisiae strains and the identification of strain specific features and new metabolic pathways, discriminating also genetically similar strains, thus revealing a novel method for strain phenotyping, identification, and quality control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-017-1259-y) contains supplementary material, which is available to authorized users. Springer US 2017-08-31 2017 /pmc/articles/PMC5579147/ /pubmed/28932179 http://dx.doi.org/10.1007/s11306-017-1259-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Khomenko, Iuliia
Stefanini, Irene
Cappellin, Luca
Cappelletti, Valentina
Franceschi, Pietro
Cavalieri, Duccio
Märk, Tilmann D.
Biasioli, Franco
Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS
title Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS
title_full Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS
title_fullStr Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS
title_full_unstemmed Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS
title_short Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS
title_sort non-invasive real time monitoring of yeast volatilome by ptr-tof-ms
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579147/
https://www.ncbi.nlm.nih.gov/pubmed/28932179
http://dx.doi.org/10.1007/s11306-017-1259-y
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