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Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a

Plant pathogens are increasingly compromising forest health, with impacts to the ecological, economic, and cultural goods and services these global forests provide. One response to these threats is the identification of disease resistance in host trees, which with conventional methods can take years...

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Autores principales: Seeley, Megan M., Martin, Roberta E., Giardina, Christian, Luiz, Blaine, Francisco, Kainana, Cook, Zachary, Hughes, Marc A., Asner, Gregory P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289452/
https://www.ncbi.nlm.nih.gov/pubmed/37352315
http://dx.doi.org/10.1371/journal.pone.0287144
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author Seeley, Megan M.
Martin, Roberta E.
Giardina, Christian
Luiz, Blaine
Francisco, Kainana
Cook, Zachary
Hughes, Marc A.
Asner, Gregory P.
author_facet Seeley, Megan M.
Martin, Roberta E.
Giardina, Christian
Luiz, Blaine
Francisco, Kainana
Cook, Zachary
Hughes, Marc A.
Asner, Gregory P.
author_sort Seeley, Megan M.
collection PubMed
description Plant pathogens are increasingly compromising forest health, with impacts to the ecological, economic, and cultural goods and services these global forests provide. One response to these threats is the identification of disease resistance in host trees, which with conventional methods can take years or even decades to achieve. Remote sensing methods have accelerated host resistance identification in agricultural crops and for a select few forest tree species, but applications are rare. Ceratocystis wilt of ʻōhiʻa, caused by the fungal pathogen Ceratocystis lukuohia has been killing large numbers of the native Hawaiian tree, Metrosideros polymorpha or ʻŌhiʻa, Hawaii’s most common native tree and a biocultural keystone species. Here, we assessed whether resistance to C. lukuohia is detectable in leaf-level reflectance spectra (400–2500 nm) and used chemometric conversion equations to understand changes in leaf chemical traits of the plants as indicators of wilt symptom progression. We collected leaf reflectance data prior to artificially inoculating 2–3-year-old M. polymorpha clones with C. lukuohia. Plants were rated 3x a week for foliar wilt symptom development and leaf spectra data collected at 2 to 4-day intervals for 120 days following inoculation. We applied principal component analysis (PCA) to the pre-inoculation spectra, with plants grouped according to site of origin and subtaxon, and two-way analysis of variance to assess whether each principal component separated individuals based on their disease severity ratings. We identified seven leaf traits that changed in susceptible plants following inoculation (tannins, chlorophyll a+b, NSC, total C, leaf water, phenols, and cellulose) and leaf chemistries that differed between resistant and early-stage susceptible plants, most notably chlorophyll a+b and cellulose. Further, disease resistance was found to be detectable in the reflectance data, indicating that remote sensing work could expedite Ceratocystis wilt of ʻōhiʻa resistance screenings.
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spelling pubmed-102894522023-06-24 Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a Seeley, Megan M. Martin, Roberta E. Giardina, Christian Luiz, Blaine Francisco, Kainana Cook, Zachary Hughes, Marc A. Asner, Gregory P. PLoS One Research Article Plant pathogens are increasingly compromising forest health, with impacts to the ecological, economic, and cultural goods and services these global forests provide. One response to these threats is the identification of disease resistance in host trees, which with conventional methods can take years or even decades to achieve. Remote sensing methods have accelerated host resistance identification in agricultural crops and for a select few forest tree species, but applications are rare. Ceratocystis wilt of ʻōhiʻa, caused by the fungal pathogen Ceratocystis lukuohia has been killing large numbers of the native Hawaiian tree, Metrosideros polymorpha or ʻŌhiʻa, Hawaii’s most common native tree and a biocultural keystone species. Here, we assessed whether resistance to C. lukuohia is detectable in leaf-level reflectance spectra (400–2500 nm) and used chemometric conversion equations to understand changes in leaf chemical traits of the plants as indicators of wilt symptom progression. We collected leaf reflectance data prior to artificially inoculating 2–3-year-old M. polymorpha clones with C. lukuohia. Plants were rated 3x a week for foliar wilt symptom development and leaf spectra data collected at 2 to 4-day intervals for 120 days following inoculation. We applied principal component analysis (PCA) to the pre-inoculation spectra, with plants grouped according to site of origin and subtaxon, and two-way analysis of variance to assess whether each principal component separated individuals based on their disease severity ratings. We identified seven leaf traits that changed in susceptible plants following inoculation (tannins, chlorophyll a+b, NSC, total C, leaf water, phenols, and cellulose) and leaf chemistries that differed between resistant and early-stage susceptible plants, most notably chlorophyll a+b and cellulose. Further, disease resistance was found to be detectable in the reflectance data, indicating that remote sensing work could expedite Ceratocystis wilt of ʻōhiʻa resistance screenings. Public Library of Science 2023-06-23 /pmc/articles/PMC10289452/ /pubmed/37352315 http://dx.doi.org/10.1371/journal.pone.0287144 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Seeley, Megan M.
Martin, Roberta E.
Giardina, Christian
Luiz, Blaine
Francisco, Kainana
Cook, Zachary
Hughes, Marc A.
Asner, Gregory P.
Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a
title Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a
title_full Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a
title_fullStr Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a
title_full_unstemmed Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a
title_short Leaf spectroscopy of resistance to Ceratocystis wilt of ‘Ōhi’a
title_sort leaf spectroscopy of resistance to ceratocystis wilt of ‘ōhi’a
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289452/
https://www.ncbi.nlm.nih.gov/pubmed/37352315
http://dx.doi.org/10.1371/journal.pone.0287144
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