Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic

Villari Caterina, Dowkiw Arnaud, Enderle Rasmus, Ghasemkhani Marjan, Kirisits Thomas, Kjaer Erik D., Marciulyniené Diana, McKinney Lea V., Metzler Berthold, Munoz Facundo, Nielsen Lene R., Pliura Alfas, Stener Lars-Göran, suchockas Vytautas, Rodriguez-Saona Luis, Bonello Pierluigi, Cleary Michelle. 2018. Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic. Scientific Reports, 8:17448, 9 p.

Quartile : Q1, Sujet : MULTIDISCIPLINARY SCIENCES

Résumé : Natural and urban forests worldwide are increasingly threatened by global change resulting from human-mediated factors, including invasions by lethal exotic pathogens. Ash dieback (ADB), incited by the alien invasive fungus Hymenoscyphus fraxineus, has caused large-scale population decline of European ash (Fraxinus excelsior) across Europe, and is threatening to functionally extirpate this tree species. Genetically controlled host resistance is a key element to ensure European ash survival and to restore this keystone species where it has been decimated. We know that a low proportion of the natural population of European ash expresses heritable, quantitative resistance that is stable across environments. To exploit this resource for breeding and restoration efforts, tools that allow for effective and efficient, rapid identification and deployment of superior genotypes are now sorely needed. Here we show that Fourier-transform infrared (FT-IR) spectroscopy of phenolic extracts from uninfected bark tissue, coupled with a model based on soft independent modelling of class analogy (SIMCA), can robustly discriminate between ADB-resistant and susceptible European ash. The model was validated with populations of European ash grown across six European countries. Our work demonstrates that this approach can efficiently advance the effort to save such fundamental forest resource in Europe and elsewhere.

Mots-clés Agrovoc : Fraxinus excelsior, dépérissement terminal, champignon pathogène, spectroscopie, modélisation

Mots-clés géographiques Agrovoc : Europe

Mots-clés complémentaires : Hymenoscyphus Fraxineus

Mots-clés libres : Hymenoscyphus Fraxineus, Human-mediated Factors, Soft Independent Modeling Of Class Analogy (SIMCA), SIMCA Model, Twig Bark

Classification Agris : H20 - Maladies des plantes
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

• Villari Caterina, The Ohio State University (USA) - auteur correspondant
• Dowkiw Arnaud, INRA (FRA)
• Enderle Rasmus, Forest research institute (DEU)
• Ghasemkhani Marjan, Swedish University of Agricultural Sciences (SWE)
• Kirisits Thomas, BOKU (AUT)
• Kjaer Erik D., UCPH (DNK)
• Marciulyniené Diana, Lithuanian Research Centre for Agriculture and Forestry (LTU)
• McKinney Lea V., UCPH (DNK)
• Metzler Berthold, Forest research institute (DEU)
• Munoz Facundo, CIRAD-BIOS-UMR ASTRE (FRA) ORCID: 0000-0002-5061-4241
• Nielsen Lene R., UCPH (DNK)
• Pliura Alfas, Lithuanian Research Centre for Agriculture and Forestry (LTU)
• Stener Lars-Göran, Forest research institute (CHE)
• suchockas Vytautas, Lithuanian Research Centre for Agriculture and Forestry (LTU)
• Rodriguez-Saona Luis, The Ohio State University (USA)
• Bonello Pierluigi, The Ohio State University (USA)
• Cleary Michelle, Swedish University of Agricultural Sciences (SWE)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/596280/)

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