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Divergent abiotic spectral pathways unravel pathogen stress signals across species
by
Hernández Clemente, Rocío
, Camino, C
, Landa, Blanca B
, Boscia, D
, Poblete, T
, Zarco-Tejada, Pablo J
, Hornero, Alberto
, Velasco-Amo, P
, Calderón, R
, Saponari, M
, González-Dugo, Victoria
, Navas-Cortés, J. A
, Román-Écija, M
, Beck, P. S. A
in
631/449/1736
/ 631/449/2661/2666
/ 704/158/2456
/ 706/1143
/ Ascomycota - physiology
/ Dehydration
/ Divergence
/ Food security
/ Host Specificity
/ Humanities and Social Sciences
/ Hyperspectral imaging
/ Impact damage
/ multidisciplinary
/ Olea - chemistry
/ Olea - microbiology
/ Pathogens
/ Plant Diseases - microbiology
/ Plant species
/ Prunus dulcis - chemistry
/ Prunus dulcis - microbiology
/ Science
/ Science (multidisciplinary)
/ Screening
/ Signs and symptoms
/ Species
/ Spectra
/ Spectroscopy
/ Spectrum Analysis
/ Stress, Physiological
/ Water stress
/ Xylella - physiology
2021
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Divergent abiotic spectral pathways unravel pathogen stress signals across species
by
Hernández Clemente, Rocío
, Camino, C
, Landa, Blanca B
, Boscia, D
, Poblete, T
, Zarco-Tejada, Pablo J
, Hornero, Alberto
, Velasco-Amo, P
, Calderón, R
, Saponari, M
, González-Dugo, Victoria
, Navas-Cortés, J. A
, Román-Écija, M
, Beck, P. S. A
in
631/449/1736
/ 631/449/2661/2666
/ 704/158/2456
/ 706/1143
/ Ascomycota - physiology
/ Dehydration
/ Divergence
/ Food security
/ Host Specificity
/ Humanities and Social Sciences
/ Hyperspectral imaging
/ Impact damage
/ multidisciplinary
/ Olea - chemistry
/ Olea - microbiology
/ Pathogens
/ Plant Diseases - microbiology
/ Plant species
/ Prunus dulcis - chemistry
/ Prunus dulcis - microbiology
/ Science
/ Science (multidisciplinary)
/ Screening
/ Signs and symptoms
/ Species
/ Spectra
/ Spectroscopy
/ Spectrum Analysis
/ Stress, Physiological
/ Water stress
/ Xylella - physiology
2021
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Divergent abiotic spectral pathways unravel pathogen stress signals across species
by
Hernández Clemente, Rocío
, Camino, C
, Landa, Blanca B
, Boscia, D
, Poblete, T
, Zarco-Tejada, Pablo J
, Hornero, Alberto
, Velasco-Amo, P
, Calderón, R
, Saponari, M
, González-Dugo, Victoria
, Navas-Cortés, J. A
, Román-Écija, M
, Beck, P. S. A
in
631/449/1736
/ 631/449/2661/2666
/ 704/158/2456
/ 706/1143
/ Ascomycota - physiology
/ Dehydration
/ Divergence
/ Food security
/ Host Specificity
/ Humanities and Social Sciences
/ Hyperspectral imaging
/ Impact damage
/ multidisciplinary
/ Olea - chemistry
/ Olea - microbiology
/ Pathogens
/ Plant Diseases - microbiology
/ Plant species
/ Prunus dulcis - chemistry
/ Prunus dulcis - microbiology
/ Science
/ Science (multidisciplinary)
/ Screening
/ Signs and symptoms
/ Species
/ Spectra
/ Spectroscopy
/ Spectrum Analysis
/ Stress, Physiological
/ Water stress
/ Xylella - physiology
2021
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Divergent abiotic spectral pathways unravel pathogen stress signals across species
Journal Article
Divergent abiotic spectral pathways unravel pathogen stress signals across species
2021
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Overview
Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s most damaging pathogens in terms of socioeconomic impact. Spectral screening methods are critical to detect non-visual symptoms of early infection and prevent spread. However, the subtle pathogen-induced physiological alterations that are spectrally detectable are entangled with the dynamics of abiotic stresses. Here, using airborne spectroscopy and thermal scanning of areas covering more than one million trees of different species, infections and water stress levels, we reveal the existence of divergent pathogen- and host-specific spectral pathways that can disentangle biotic-induced symptoms. We demonstrate that uncoupling this biotic–abiotic spectral dynamics diminishes the uncertainty in the Xf detection to below 6% across different hosts. Assessing these deviating pathways against another harmful vascular pathogen that produces analogous symptoms, Verticillium dahliae, the divergent routes remained pathogen- and host-specific, revealing detection accuracies exceeding 92% across pathosystems. These urgently needed hyperspectral methods advance early detection of devastating pathogens to reduce the billions in crop losses worldwide.
Publisher
Springer Nature,Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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