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Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples

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Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples

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dc.contributor.author Martínez Martínez, María del Pilar es_ES
dc.contributor.author Andrés-Sodupe, Marcos es_ES
dc.contributor.author Berbegal Martinez, Monica es_ES
dc.contributor.author Bujanda, Rebeca es_ES
dc.contributor.author Díaz-Losada, Emilia es_ES
dc.contributor.author Gramaje Pérez, David es_ES
dc.date.accessioned 2020-04-17T12:48:40Z
dc.date.available 2020-04-17T12:48:40Z
dc.date.issued 2020-04 es_ES
dc.identifier.issn 0191-2917 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140857
dc.description http://apsjournals.apsnet.org/feedback/show es_ES
dc.description.abstract [EN] Black-foot disease is one of the most important soilborne diseases affecting planting material in grapevine nurseries and young vineyards. Accurate, early, and specific detection and quantification of black-foot disease causing fungi are essential to alert growers and nurseries to the presence of the pathogens in soil, and to prevent the spread of these pathogens through grapevines using certified pathogen-free planting material and development of resistance. We comparatively assessed the accuracy, efficiency, and specificity of droplet digital PCR (ddPCR) and real-time PCR (qPCR) techniques for the detection and quantification of Ilyonectria liriodendri in bulk and rhizosphere soils, as well as grapevine endorhizosphere. Fungal abundance was not affected by soil-plant fractions. Both techniques showed a high degree of correlation across the samples assessed (R2 = 0.95) with ddPCR being more sensitive to lower target concentrations. Roots of asymptomatic vines were found to be a microbial niche that is inhabited by black-foot disease fungi. es_ES
dc.description.sponsorship David Gramaje was supported by the DOC-INIA program from the INIA, co-funded by the European Social Fund. María del Pilar Martínez-Diz was supported by the FPI-INIA program from the INIA. es_ES
dc.language Inglés es_ES
dc.publisher Scientific Societies es_ES
dc.relation.ispartof Plant Disease es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fungi es_ES
dc.subject Fruit es_ES
dc.subject Tree fruits es_ES
dc.subject Pathogen detection es_ES
dc.subject.classification BOTANICA es_ES
dc.title Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1094/PDIS-03-19-0529-RE es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Agroforestal Mediterráneo - Institut Agroforestal Mediterrani es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Diseño para la Fabricación y Producción Automatizada - Institut de Disseny per a la Fabricació i Producció Automatitzada es_ES
dc.description.bibliographicCitation Martínez Martínez, MDP.; Andrés-Sodupe, M.; Berbegal Martinez, M.; Bujanda, R.; Díaz-Losada, E.; Gramaje Pérez, D. (2020). Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples. Plant Disease. 104(4):1144-1150. https://doi.org/10.1094/PDIS-03-19-0529-RE es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1094/PDIS-03-19-0529-RE es_ES
dc.description.upvformatpinicio 1144 es_ES
dc.description.upvformatpfin 1150 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 104 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\401706 es_ES
dc.contributor.funder Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria es_ES
dc.contributor.funder European Social Fund


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