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A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies

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A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies

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dc.contributor.author Marimón, N. es_ES
dc.contributor.author Eduardo, Iban es_ES
dc.contributor.author León Santana, Maela es_ES
dc.contributor.author Berbegal Martinez, Monica es_ES
dc.contributor.author Armengol Fortí, Josep es_ES
dc.contributor.author Luque, J. es_ES
dc.date.accessioned 2021-03-25T04:32:09Z
dc.date.available 2021-03-25T04:32:09Z
dc.date.issued 2020-12 es_ES
dc.identifier.issn 0929-1873 es_ES
dc.identifier.uri http://hdl.handle.net/10251/164229
dc.description.abstract [EN] A qPCR-based method was developed to detect and quantifyPodosphaera pannosa, the main causal agent of peach powdery mildew. A primer pair was designed to target part of the ITS region of the fungal ribosomal DNA, which proved to be highly specific and sensitive. A minimum of 2.81 pg mu L(- 1)ofP. pannosaDNA and 6 conidia mL(- 1)in artificially-prepared conidia suspensions were found to be the limit of detection. Moreover, a quantification of conidia placed on plastic tapes commonly used in volumetric air samplers was performed. Regression equations on conidia quantification obtained either from aqueous conidia suspensions or conidia placed on plastic tapes were similar. The protocol was further validated in field conditions by estimating the number ofP. pannosaconidia obtained with an air sampler, by both microscopic and molecular quantification. Both techniques detected the peaks of conidia production during a 4-month sampling period, and a significant correlation (r = 0.772) was observed between both quantification methods. Additionally, the molecular method was applied to detect latent fungal inoculum in different plant parts of peach trees. The pathogen was detected mainly on the bark of affected twigs, and to a lesser extent, in foliar buds. The method developed here can be applied in the study ofP. pannosaepidemiology and can help in improving the management of this pathogen through its early detection and quantification. es_ES
dc.description.sponsorship This research was funded by Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Spain, project RTA2013-00004-C03-01, and with matching funds from the European Regional Development Fund (ERDF). Jordi Luque was supported by the CERCA Programme, Generalitat de Catalunya. Neus Marimon was supported by INIA with a predoctoral grant (CPD-2015-0142). The authors thank Dr Josep Girbal (Univ. Autònoma de Barcelona, Bellaterra, Spain) for kindly providing us with herbarium vouchers of different powdery mildew species. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof European Journal of Plant Pathology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Aerobiology es_ES
dc.subject Epidemiology es_ES
dc.subject Molecular technique es_ES
dc.subject Powdery mildew es_ES
dc.subject Prunus persica es_ES
dc.subject.classification BOTANICA es_ES
dc.subject.classification PRODUCCION VEGETAL es_ES
dc.title A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10658-020-02136-0 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2013-00004-C03-01/ES/Estrategias de control de enfermedades fúngicas aéreas y de raíz en frutales mediterráneos, basadas en criterios epidemiológicos y en la utilización de micorrizas arbusculares/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CPD2015-0142/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ecosistemas Agroforestales - Departament d'Ecosistemes Agroforestals es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Agroforestal Mediterráneo - Institut Agroforestal Mediterrani es_ES
dc.description.bibliographicCitation Marimón, N.; Eduardo, I.; León Santana, M.; Berbegal Martinez, M.; Armengol Fortí, J.; Luque, J. (2020). A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies. European Journal of Plant Pathology. 158(4):1005-1016. https://doi.org/10.1007/s10658-020-02136-0 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10658-020-02136-0 es_ES
dc.description.upvformatpinicio 1005 es_ES
dc.description.upvformatpfin 1016 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 158 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\424199 es_ES
dc.contributor.funder Generalitat de Catalunya es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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dc.subject.ods 02.- Poner fin al hambre, conseguir la seguridad alimentaria y una mejor nutrición, y promover la agricultura sostenible es_ES


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