Academic Journal

Divergent abiotic spectral pathways unravel pathogen stress signals across species

التفاصيل البيبلوغرافية
العنوان: Divergent abiotic spectral pathways unravel pathogen stress signals across species
المؤلفون: Zarco-Tejada, Pablo J., Poblete, Tomás, Camino, Carlos, González-Dugo, Victoria, Calderón Madrid, Rocío, Hornero, Alberto, Hernández-Clemente, Rocío, Román Ecija, Miguel, Velasco-Amo, María Pilar, Landa, Blanca B., Beck, P. S. A., Saponari, Maria, Boscia, Donato, Navas Cortés, Juan Antonio
المساهمون: European Commission, Ministerio de Educación y Ciencia (España), Consejo Superior de Investigaciones Científicas (España), Junta de Andalucía, Govern de les Illes Balears
بيانات النشر: Springer Nature
سنة النشر: 2021
المجموعة: Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council)
الوصف: 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. ; The study was partially funded by the European Union’s Horizon 2020 Research and Innovation Programme through grant agreements POnTE (635646) and XF-ACTORS (727987), as well as by projects AGL2009-13105 from the Spanish Ministry of Education and Science, P08-AGR-03528 from the Regional Government of Andalusia and the European Social Fund, project E-RTA2017-00004-02 from ‘Programa Estatal de I + D + I Orientada a los Retos de la Sociedad’ of Spain and FEDER, Intramural Project 201840E111 from CSIC, and Project ITS2017-095 Consejeria de Medio Ambiente, Agricultura y Pesca de las Islas Baleares, Spain. The views expressed are purely those of the writers and may not ...
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/EC/H2020/635646; info:eu-repo/grantAgreement/EC/H2020/727987; info:eu-repo/grantAgreement/MECD///AGL2009-13105; Publisher's version; http://dx.doi.org/10.1038/s41467-021-26335-3; Sí; e-issn: 2041-1723; Nature Communications 12: 6088 (2021); http://hdl.handle.net/10261/267863; http://dx.doi.org/10.13039/501100003339; http://dx.doi.org/10.13039/501100000780; http://dx.doi.org/10.13039/501100011011
DOI: 10.1038/s41467-021-26335-3
DOI: 10.13039/501100003339
DOI: 10.13039/501100000780
DOI: 10.13039/501100011011
الاتاحة: http://hdl.handle.net/10261/267863
https://doi.org/10.1038/s41467-021-26335-3
https://doi.org/10.13039/501100003339
https://doi.org/10.13039/501100000780
https://doi.org/10.13039/501100011011
Rights: open
رقم الانضمام: edsbas.4D677748
قاعدة البيانات: BASE
الوصف
DOI:10.1038/s41467-021-26335-3