Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractTrichoderma Species Differ in Their Volatile Profiles and in Antagonism Toward Ectomycorrhiza Laccaria bicolor    Next AbstractTemporal variability of chlorinated volatile organic compound vapor concentrations in a residential sewer and land drain system overlying a dilute groundwater plume »

New Phytol


Title:Sniffing fungi - phenotyping of volatile chemical diversity in Trichoderma species
Author(s):Guo Y; Jud W; Ghirardo A; Antritter F; Benz JP; Schnitzler JP; Rosenkranz M;
Address:"Research Unit Environmental Simulation, Institute of Biochemical Plant Pathology, Helmholtz Zentrum Munchen, D-85764, Neuherberg, Germany. Holzforschung Munchen, TUM School of Life Sciences Weihenstephan, Technical University of Munich, D-85354, Freising, Germany"
Journal Title:New Phytol
Year:2020
Volume:20200423
Issue:1
Page Number:244 - 259
DOI: 10.1111/nph.16530
ISSN/ISBN:1469-8137 (Electronic) 0028-646X (Linking)
Abstract:"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"
Keywords:Gas Chromatography-Mass Spectrometry Mass Spectrometry Odorants/analysis *Trichoderma *Volatile Organic Compounds/analysis Trichoderma Gc-ms Proton transfer reaction-time of flight-MS automated cuvettes chemical diversity data mining fungi volatile organi;
Notes:"MedlineGuo, Yuan Jud, Werner Ghirardo, Andrea Antritter, Felix Benz, J Philipp Schnitzler, Jorg-Peter Rosenkranz, Maaria eng Research Support, Non-U.S. Gov't England 2020/03/11 New Phytol. 2020 Jul; 227(1):244-259. doi: 10.1111/nph.16530. Epub 2020 Apr 23"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 19-12-2024