Volatile organic compound patterns predict fungal trophic mode and lifestyle
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.
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-06-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-02198-8 |
| _version_ | 1818750766466203648 |
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| author | Yuan Guo Werner Jud Fabian Weikl Andrea Ghirardo Robert R. Junker Andrea Polle J. Philipp Benz Karin Pritsch Jörg-Peter Schnitzler Maaria Rosenkranz |
| author_facet | Yuan Guo Werner Jud Fabian Weikl Andrea Ghirardo Robert R. Junker Andrea Polle J. Philipp Benz Karin Pritsch Jörg-Peter Schnitzler Maaria Rosenkranz |
| author_sort | Yuan Guo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T04:24:53Z |
| format | Article |
| id | doaj.art-474e3ce9b67b46f9bd11f79cad10bbcf |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-12-18T04:24:53Z |
| publishDate | 2021-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-474e3ce9b67b46f9bd11f79cad10bbcf2022-12-21T21:21:09ZengNature PortfolioCommunications Biology2399-36422021-06-014111210.1038/s42003-021-02198-8Volatile organic compound patterns predict fungal trophic mode and lifestyleYuan Guo0Werner Jud1Fabian Weikl2Andrea Ghirardo3Robert R. Junker4Andrea Polle5J. Philipp Benz6Karin Pritsch7Jörg-Peter Schnitzler8Maaria Rosenkranz9Research Unit Environmental Simulation, Institute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenResearch Unit Environmental Simulation, Institute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenInstitute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenResearch Unit Environmental Simulation, Institute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenEvolutionary Ecology of Plants, Department of Biology, Philipps University of MarburgForest Botany and Tree Physiology, University of GöttingenHolzforschung München, TUM School of Life Sciences Weihenstephan, Technical University of MunichInstitute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenResearch Unit Environmental Simulation, Institute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenResearch Unit Environmental Simulation, Institute of Biochemical Plant Pathology, Helmholtz Zentrum MünchenGuo 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.https://doi.org/10.1038/s42003-021-02198-8 |
| spellingShingle | Yuan Guo Werner Jud Fabian Weikl Andrea Ghirardo Robert R. Junker Andrea Polle J. Philipp Benz Karin Pritsch Jörg-Peter Schnitzler Maaria Rosenkranz Volatile organic compound patterns predict fungal trophic mode and lifestyle Communications Biology |
| title | Volatile organic compound patterns predict fungal trophic mode and lifestyle |
| title_full | Volatile organic compound patterns predict fungal trophic mode and lifestyle |
| title_fullStr | Volatile organic compound patterns predict fungal trophic mode and lifestyle |
| title_full_unstemmed | Volatile organic compound patterns predict fungal trophic mode and lifestyle |
| title_short | Volatile organic compound patterns predict fungal trophic mode and lifestyle |
| title_sort | volatile organic compound patterns predict fungal trophic mode and lifestyle |
| url | https://doi.org/10.1038/s42003-021-02198-8 |
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