| Title: | Volatile Organic Compound Profiles From Wheat Diseases Are Pathogen-Specific and Can Be Exploited for Disease Classification |
| Author(s): | Ficke A; Asalf B; Norli HR; |
| Address: | "Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), As, Norway" |
| DOI: | 10.3389/fmicb.2021.803352 |
| ISSN/ISBN: | 1664-302X (Print) 1664-302X (Electronic) 1664-302X (Linking) |
| Abstract: | "Plants and fungi emit volatile organic compounds (VOCs) that are either constitutively produced or are produced in response to changes in their physico-chemical status. We hypothesized that these chemical signals could be utilized as diagnostic tools for plant diseases. VOCs from several common wheat pathogens in pure culture (Fusarium graminearum, Fusarium culmorum, Fusarium avenaceum, Fusarium poae, and Parastagonospora nodorum) were collected and compared among isolates of the same fungus, between pathogens from different species, and between pathogens causing different disease groups [Fusarium head blight (FHB) and Septoria nodorum blotch (SNB)]. In addition, we inoculated two wheat varieties with either F. graminearum or P. nodorum, while one variety was also inoculated with Blumeria graminis f.sp. tritici (powdery mildew, PM). VOCs were collected 7, 14, and 21 days after inoculation. Each fungal species in pure culture emitted a different VOC blend, and each isolate could be classified into its respective disease group based on VOCs with an accuracy of 71.4 and 84.2% for FHB and SNB, respectively. When all collection times were combined, the classification of the tested diseases was correct in 84 and 86% of all cases evaluated. Germacrene D and sativene, which were associated with FHB infection, and mellein and heptadecanone, which were associated with SNB infection, were consistently emitted by both wheat varieties. Wheat plants infected with PM emitted significant amounts of 1-octen-3-ol and 3,5,5-trimethyl-2-hexene. Our study suggests that VOC blends could be used to classify wheat diseases. This is the first step toward a real-time disease detection in the field based on chemical signatures of wheat diseases" |
| Keywords: | classification disease fungi head space (HS)-GC/MS identificatication sensor volatiles wheat; |
| Notes: | "PubMed-not-MEDLINEFicke, Andrea Asalf, Belachew Norli, Hans Ragnar eng Switzerland 2022/01/25 Front Microbiol. 2022 Jan 7; 12:803352. doi: 10.3389/fmicb.2021.803352. eCollection 2021" |
