Abstract

Fungi produce a wide variety of volatile organic compounds (VOCs), which play central roles in the initiation and regulation of fungal interactions. Here we introduce a global overview of fungal VOC patterns and chemical diversity across phylogenetic clades and trophic modes. The analysis is based on measurements of comprehensive VOC profiles of forty-three fungal species. Our data show that the VOC patterns can describe the phyla and the trophic mode of fungi. We show different levels of phenotypic integration (PI) for different chemical classes of VOCs within distinct functional guilds. Further computational analyses reveal that distinct VOC patterns can predict trophic modes, (non)symbiotic lifestyle, substrate-use and host-type of fungi. Thus, depending on trophic mode, either individual VOCs or more complex VOC patterns (i.e., chemical communication displays) may be ecologically important. Present results stress the ecological importance of VOCs and serve as prerequisite for more comprehensive VOCs-involving ecological studies.

Guo et al. characterize the volatilomes of 43 fungal species using an automated cuvette system and mass spectrometry. Their results show that VOC patterns can predict trophic modes, symbiotic lifestyle, substrate-use and host-type of fungi.

Details

Title
Volatile organic compound patterns predict fungal trophic mode and lifestyle
Author
Guo, Yuan 1 ; Jud, Werner 1 ; Weikl Fabian 2 ; Ghirardo, Andrea 1   VIAFID ORCID Logo  ; Junker, Robert R 3 ; Polle, Andrea 4   VIAFID ORCID Logo  ; Philipp, Benz J 5 ; Pritsch Karin 2 ; Jörg-Peter, Schnitzler 1   VIAFID ORCID Logo  ; Rosenkranz Maaria 1   VIAFID ORCID Logo 

 Institute of Biochemical Plant Pathology, Helmholtz Zentrum München, Research Unit Environmental Simulation, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525) 
 Institute of Biochemical Plant Pathology, Helmholtz Zentrum München, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525) 
 Evolutionary Ecology of Plants, Department of Biology, Philipps University of Marburg, Marburg, Germany (GRID:grid.10253.35) (ISNI:0000 0004 1936 9756); University of Salzburg, Department of Biosciences, Salzburg, Austria (GRID:grid.7039.d) (ISNI:0000000110156330) 
 University of Göttingen, Forest Botany and Tree Physiology, Göttingen, Germany (GRID:grid.7450.6) (ISNI:0000 0001 2364 4210); Beijing Forestry University, Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing, People’s Republic of China (GRID:grid.66741.32) (ISNI:0000 0001 1456 856X) 
 Technical University of Munich, Holzforschung München, TUM School of Life Sciences Weihenstephan, Freising, Germany (GRID:grid.6936.a) (ISNI:0000000123222966) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2536652563
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.