New Approaches to Plant Pathogen Detection and Disease Diagnosis.

Jaime Cubero, Blanca B Landa, Juan A Navas-Cortés, Pablo J Zarco-Tejada, Sara Cuesta-Morrondo, Ana Palacio-Bielsa, Pilar Sabuquillo, Tomás Poblete, Jerson Garita-Cambronero

Journal: Phytopathology 2024;114(9):1989-2006

PMID: 39264350

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Abstract

Detecting plant pathogens and diagnosing diseases are critical components of successful pest management. These key areas have undergone significant advancements driven by breakthroughs in molecular biology and remote sensing technologies within the realm of precision agriculture. Notably, nucleic acid amplification techniques, with recent emphasis on sequencing procedures, particularly next-generation sequencing, have enabled improved DNA or RNA amplification detection protocols that now enable previously unthinkable strategies aimed at dissecting plant microbiota, including the disease-causing components. Simultaneously, the domain of remote sensing has seen the emergence of cutting-edge imaging sensor technologies and the integration of powerful computational tools, such as machine learning. These innovations enable spectral analysis of foliar symptoms and specific pathogen-induced alterations, making imaging spectroscopy and thermal imaging fundamental tools for large-scale disease surveillance and monitoring. These technologies contribute significantly to understanding the temporal and spatial dynamics of plant diseases.

Address: Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.; School of Agriculture, Food and Ecosystem Sciences, Faculty of Science and Faculty of Engineering and Information Technology (IE-FEIT), University of Melbourne, Melbourne, VIC, Australia.; Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.; Departamento de Biotecnología-Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Madrid, Spain.; Centro de Investigación y Tecnología Agroalimentaria de Aragón-Instituto Agroalimentario de Aragón-IA2 (CITA-Universidad de Zaragoza), Zaragoza, Spain.; Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, Spain.; School of Agriculture, Food and Ecosystem Sciences, Faculty of Science and Faculty of Engineering and Information Technology (IE-FEIT), University of Melbourne, Melbourne, VIC, Australia.; Asociación Nacional de Obtentores Vegetales (ANOVE), Madrid, Spain.

DOI: 10.1094/PHYTO-10-23-0366-IA

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MeSH Terms: Plant Diseases, Nucleic Acid Amplification Techniques, Plants, High-Throughput Nucleotide Sequencing, Remote Sensing Technology