ArticleNature communications2021
Divergent abiotic spectral pathways unravel pathogen stress signals across species.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 89 citations in OpenAlex.
- Leaf to Root: Harnessing leaf spectral signatures for non-destructive monitoring of soybean nodule traits.Plant phenomics (Washington, D.C.) · 2026Article
- Waterborne pathogen mitigation: Decoding techno-ecological synergies in multiscale transmission networks.Innovation (Cambridge (Mass.)) · 2026Review
- A continuous wavelet transform-enhanced transformer model for spectroscopic detection of bacterial wilt in tomato at early infection stages.Frontiers in plant science · 2026Article
- Beech leaf disease symptom detection using deep learning and computer vision tools.Journal of nematology · 2026Article
- High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato.Plant phenomics (Washington, D.C.) · 2025Article
- Leveraging UAV spectral and thermal traits for the genetic improvement of resistance to Dothistroma needle blight inFrontiers in plant science · 2025Article
- Mechanistic links between physiology and spectral reflectance enable previsual detection of oak wilt and drought stress.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Recent advances of microneedles biosensors for plants.Analytical and bioanalytical chemistry · 2024Review
- Climate change impacts on plant pathogens, food security and paths forward.Nature reviews. Microbiology · 2023Review
- Light scattering in stacked mesophyll cells results in similarity characteristic of solar spectral reflectance and transmittance of natural leaves.Scientific reports · 2023Article
- To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?Plant phenomics (Washington, D.C.) · 2023Article
- Boosting precision crop protection towards agriculture 5.0Frontiers in plant science · 2023Review
- Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review.Remote sensing of environment · 2022Article
- Physiological and Structural Responses of Olive Leaves Related to Tolerance/Susceptibility toPlants (Basel, Switzerland) · 2022Article
- Digital plant pathology: a foundation and guide to modern agriculture.Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG) · 2022Article
- Divergent abiotic spectral pathways unravel pathogen stress signals across species.Nature communications · 2021Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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