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

Caterina  Villari; Arnaud  Dowkiw; Rasmus  Enderle; Marjan  Ghasemkhani; Thomas  Kirisits; Erik Dahl Kjær; Diana  Marčiulynienė; Lea Vig McKinney; Berthold  Metzler; Facundo  Muñoz; Lene Rostgaard Nielsen; Alfas Pliura; Lars-Göran  Stener; Vytautas  Suchockas; Luis  Rodriguez-Saona; Pierluigi  Bonello; Michelle  Cleary

doi:10.1038/s41598-018-35770-0

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

Caterina Villari, Arnaud Dowkiw, Rasmus Enderle, Marjan Ghasemkhani, Thomas Kirisits, Erik Dahl Kjær, Diana Marčiulynienė, Lea Vig McKinney, Berthold Metzler, Facundo Muñoz, Lene Rostgaard Nielsen, Alfas Pliura, Lars-Göran Stener, Vytautas Suchockas, Luis Rodriguez-Saona, Pierluigi Bonello, Michelle Cleary

Forest, Nature and Biomass

10 Citations (Scopus)

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Abstract

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.

Original language	English
Article number	17448
Journal	Scientific Reports
Volume	8
Number of pages	9
ISSN	2045-2322
DOIs	https://doi.org/10.1038/s41598-018-35770-0
Publication status	Published - 1 Dec 2018

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Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemicFinal published version, 1.69 MBLicence: CC BY

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Villari, C., Dowkiw, A., Enderle, R., Ghasemkhani, M., Kirisits, T., Kjær, E. D., Marčiulynienė, D., McKinney, L. V., Metzler, B., Muñoz, F., Nielsen, L. R., Pliura, A., Stener, L-G., Suchockas, V., Rodriguez-Saona, L., Bonello, P., & Cleary, M. (2018). Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic. Scientific Reports, 8, [17448 ]. https://doi.org/10.1038/s41598-018-35770-0

Villari, C, Dowkiw, A, Enderle, R, Ghasemkhani, M, Kirisits, T, Kjær, ED, Marčiulynienė, D, McKinney, LV, Metzler, B, Muñoz, F, Nielsen, LR, Pliura, A, Stener, L-G, Suchockas, V, Rodriguez-Saona, L, Bonello, P & Cleary, M 2018, 'Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic', Scientific Reports, vol. 8, 17448 . https://doi.org/10.1038/s41598-018-35770-0

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title = "Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic",

abstract = "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.",

author = "Caterina Villari and Arnaud Dowkiw and Rasmus Enderle and Marjan Ghasemkhani and Thomas Kirisits and Kj{\ae}r, {Erik Dahl} and Diana Mar{\v c}iulynienė and McKinney, {Lea Vig} and Berthold Metzler and Facundo Mu{\~n}oz and Nielsen, {Lene Rostgaard} and Alfas Pliura and Lars-G{\"o}ran Stener and Vytautas Suchockas and Luis Rodriguez-Saona and Pierluigi Bonello and Michelle Cleary",

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AU - Villari, Caterina

AU - Dowkiw, Arnaud

AU - Enderle, Rasmus

AU - Ghasemkhani, Marjan

AU - Kirisits, Thomas

AU - Kjær, Erik Dahl

AU - Marčiulynienė, Diana

AU - McKinney, Lea Vig

AU - Metzler, Berthold

AU - Muñoz, Facundo

AU - Nielsen, Lene Rostgaard

AU - Pliura, Alfas

AU - Stener, Lars-Göran

AU - Suchockas, Vytautas

AU - Rodriguez-Saona, Luis

AU - Bonello, Pierluigi

AU - Cleary, Michelle

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

U2 - 10.1038/s41598-018-35770-0

DO - 10.1038/s41598-018-35770-0

M3 - Journal article

C2 - 30487524

SN - 2045-2322

VL - 8

JO - Scientific Reports

JF - Scientific Reports

M1 - 17448

ER -

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

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