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dc.contributor.authorFicke, Andrea
dc.contributor.authorAsalf, Belachew
dc.contributor.authorNorli, Hans Ragnar
dc.date.accessioned2022-07-15T08:24:06Z
dc.date.available2022-07-15T08:24:06Z
dc.date.created2022-02-04T08:49:53Z
dc.date.issued2022-01-07
dc.identifier.citationFrontiers in Microbiology. 2022, 12 1-17.en_US
dc.identifier.issn1664-302X
dc.identifier.urihttps://hdl.handle.net/11250/3005679
dc.description.abstractPlants 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.en_US
dc.language.isoengen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleVolatile Organic Compound Profiles From Wheat Diseases Are Pathogen-Specific and Can Be Exploited for Disease Classificationen_US
dc.title.alternativeVolatile Organic Compound Profiles From Wheat Diseases Are Pathogen-Specific and Can Be Exploited for Disease Classificationen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 Ficke, Asalf and Norlien_US
dc.source.pagenumber1-17en_US
dc.source.volume12en_US
dc.source.journalFrontiers in Microbiologyen_US
dc.identifier.doi10.3389/fmicb.2021.803352
dc.identifier.cristin1997648
dc.relation.projectNorges forskningsråd: 207829en_US
dc.source.articlenumber803352en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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