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Guo, Y. ; Jud, W. ; Ghirardo, A. ; Antritter, F. ; Benz, J.P.* ; Schnitzler, J.-P. ; Rosenkranz, M.

Sniffing fungi – phenotyping of volatile chemical diversity in Trichoderma species.

New Phytol. 227, 244-259 (2020)
Verlagsversion Forschungsdaten DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Volatile organic compounds (VOCs) play vital roles in the interaction of fungi with plants and other organisms. A systematic study of the global fungal VOC profiles is still lacking, though it is a prerequisite for elucidating the mechanisms of VOC-mediated interactions. Here we present a versatile system enabling a high-throughput screening of fungal VOCs under controlled temperature. In a proof-of-principle experiment, we characterized the volatile metabolic fingerprints of four Trichoderma spp. over a 48 h growth period. The developed platform allows automated and fast detection of VOCs from up to 14 simultaneously growing fungal cultures in real time. The comprehensive analysis of fungal odors is achieved by employing proton transfer reaction-time of flight-MS and GC-MS. The data-mining strategy based on multivariate data analysis and machine learning allows the volatile metabolic fingerprints to be uncovered. Our data revealed dynamic, development-dependent and extremely species-specific VOC profiles from the biocontrol genus Trichoderma. The two mass spectrometric approaches were highly complementary to each other, together revealing a novel, dynamic view to the fungal VOC release. This analytical system could be used for VOC-based chemotyping of diverse small organisms, or more generally, for any in vivo and in vitro real-time headspace analysis.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Automated Cuvettes ; Chemical Diversity ; Data Mining ; Fungi ; Gc-ms ; Proton Transfer Reaction-time Of Flight-ms ; Trichoderma ; Volatile Organic Compound (voc) Emission; Headspace Sorptive Extraction; Transfer-reaction-time; Organic-compounds; Mass-spectrometry; Gas-chromatography; Identification; Ms; 1-octen-3-ol; Emissions; Profiles
ISSN (print) / ISBN 0028-646X
e-ISSN 1469-8137
Zeitschrift New Phytologist
Quellenangaben Band: 227, Heft: 1, Seiten: 244-259 Artikelnummer: , Supplement: ,
Verlag Wiley
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Environmental Simulation (BIOP-EUS)