| Title: | Utilizing volatile organic compounds for early detection of Fusarium circinatum |
| Author(s): | Nordstrom I; Sherwood P; Bohman B; Woodward S; Peterson DL; Nino-Sanchez J; Sanchez-Gomez T; Diez JJ; Cleary M; |
| Address: | "Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Box 190, 234 22, Lomma, Sweden. ida.nordstrom@slu.se. Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences, Box 190, 234 22, Lomma, Sweden. Department of Plant Protection Biology, Swedish University of Agricultural Sciences, Box 102, 234 22, Lomma, Sweden. School of Biological Sciences, Department of Plant and Soil Science, University of Aberdeen, Cruickshank Building, St. Machar Drive, Aberdeen, AB24 3UU, UK. iuFOR- Sustainable Forest Management Research Institute, University of Valladolid-INIA, 34004, Palencia, Spain" |
| DOI: | 10.1038/s41598-022-26078-1 |
| ISSN/ISBN: | 2045-2322 (Electronic) 2045-2322 (Linking) |
| 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" |
| Keywords: | *Fusarium *Volatile Organic Compounds Plant Diseases/microbiology *Pinus/microbiology; |
| Notes: | "MedlineNordstrom, Ida Sherwood, Patrick Bohman, Bjorn Woodward, Stephen Peterson, Donnie L Nino-Sanchez, Jonatan Sanchez-Gomez, Tamara Diez, Julio Javier Cleary, Michelle eng Research Support, Non-U.S. Gov't England 2022/12/16 Sci Rep. 2022 Dec 15; 12(1):21661. doi: 10.1038/s41598-022-26078-1" |
