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Research article - Peer-reviewed, 2022

Utilizing volatile organic compounds for early detection of Fusarium circinatum

Nordström, Ida; Sherwood, Patrick; Bohman, Björn; Woodward, Stephen; Peterson, Donnie Lee; Niño-Sánchez, Jonatan; Sánchez-Gómez, Tamara; Díez, Julio Javier; Cleary, Michelle

Abstract

Fusarium circinatum, a fungal pathogen deadly to many Pinus species, can cause significant economic and ecological losses, especially if it were to become more widely established in Europe. Early detection tools with high-throughput capacity can increase our readiness to implement mitigation actions against new incursions. This study sought to develop a disease detection method based on volatile organic compound (VOC) emissions to detect F. circinatum on different Pinus species. The complete pipeline applied here, entailing gas chromatography—mass spectrometry of VOCs, automated data analysis and machine learning, distinguished diseased from healthy seedlings of Pinus sylvestris and Pinus radiata. In P. radiata, this distinction was possible even before the seedlings became visibly symptomatic, suggesting the possibility for this method to identify latently infected, yet healthy looking plants. Pinus pinea, which is known to be relatively resistant to F. circinatum, remained asymptomatic and showed no changes in VOCs over 28 days. In a separate analysis of in vitro VOCs collected from different species of Fusarium, we showed that even closely related Fusarium spp. can be readily distinguished based on their VOC profiles. The results further substantiate the potential for volatilomics to be used for early disease detection and diagnostic recognition.

Published in

Scientific Reports
2022, volume: 12, number: 1, article number: 21661

Authors' information

Swedish University of Agricultural Sciences, Southern Swedish Forest Research Centre
Swedish University of Agricultural Sciences, Southern Swedish Forest Research Centre
Swedish University of Agricultural Sciences, Department of Plant Protection Biology
Woodward, Stephen
University of Aberdeen
Peterson, Donnie Lee
Swedish University of Agricultural Sciences, Southern Swedish Forest Research Centre
Niño-Sánchez, Jonatan
University of Valladolid
Sánchez-Gómez, Tamara
University of Valladolid
Díez, Julio Javier
University of Valladolid
Swedish University of Agricultural Sciences, Southern Swedish Forest Research Centre

UKÄ Subject classification

Forest Science

Publication Identifiers

DOI: https://doi.org/10.1038/s41598-022-26078-1

URI (permanent link to this page)

https://res.slu.se/id/publ/120193