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

A qPCR-based method was developed to detect and quantify Podosphaera 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 µL− 1 of P. pan...

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Detalles Bibliográficos
Autores: Marimon, Neus, Eduardo, Iban, León, Maela, Berbegal, Mónica, Armengol, Josep, Luque, Jordi
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Repositorio:IRTA Pubpro. Open Digital Archive
OAI Identifier:oai:repositori.irta.cat:20.500.12327/1024
Acceso en línea:http://hdl.handle.net/20.500.12327/1024
https://doi.org/10.1007/s10658-020-02136-0
Access Level:acceso abierto
Palabra clave:632
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spelling A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studiesMarimon, NeusEduardo, IbanLeón, MaelaBerbegal, MónicaArmengol, JosepLuque, Jordi632A qPCR-based method was developed to detect and quantify Podosphaera 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 µL− 1 of P. pannosa DNA 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 of P. pannosa conidia 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 of P. pannosa epidemiology and can help in improving the management of this pathogen through its early detection and quantification.info:eu-repo/semantics/acceptedVersionSpringerProducció VegetalProtecció Vegetal SostenibleGenòmica i Biotecnologia202020222020info:eu-repo/semantics/article34application/pdfhttp://hdl.handle.net/20.500.12327/1024https://doi.org/10.1007/s10658-020-02136-0reponame:IRTA Pubpro. Open Digital Archiveinstname:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)InglésEuropean Journal of Plant PathologyMINECO/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/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/Copyright © 2020, Koninklijke Nederlandse Planteziektenkundige Vereniginghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositori.irta.cat:20.500.12327/10242026-06-16T08:51:17Z
dc.title.none.fl_str_mv A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
title A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
spellingShingle A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
Marimon, Neus
632
title_short A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
title_full A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
title_fullStr A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
title_full_unstemmed A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
title_sort A qPCR-based method for the detection and quantification of the peach powdery mildew (Podosphaera pannosa) in epidemiological studies
dc.creator.none.fl_str_mv Marimon, Neus
Eduardo, Iban
León, Maela
Berbegal, Mónica
Armengol, Josep
Luque, Jordi
author Marimon, Neus
author_facet Marimon, Neus
Eduardo, Iban
León, Maela
Berbegal, Mónica
Armengol, Josep
Luque, Jordi
author_role author
author2 Eduardo, Iban
León, Maela
Berbegal, Mónica
Armengol, Josep
Luque, Jordi
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Producció Vegetal
Protecció Vegetal Sostenible
Genòmica i Biotecnologia
dc.subject.none.fl_str_mv 632
topic 632
description A qPCR-based method was developed to detect and quantify Podosphaera 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 µL− 1 of P. pannosa DNA 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 of P. pannosa conidia 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 of P. pannosa epidemiology and can help in improving the management of this pathogen through its early detection and quantification.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12327/1024
https://doi.org/10.1007/s10658-020-02136-0
url http://hdl.handle.net/20.500.12327/1024
https://doi.org/10.1007/s10658-020-02136-0
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv European Journal of Plant Pathology
MINECO/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/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/
dc.rights.none.fl_str_mv Copyright © 2020, Koninklijke Nederlandse Planteziektenkundige Vereniging
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright © 2020, Koninklijke Nederlandse Planteziektenkundige Vereniging
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 34
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:IRTA Pubpro. Open Digital Archive
instname:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
instname_str Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
reponame_str IRTA Pubpro. Open Digital Archive
collection IRTA Pubpro. Open Digital Archive
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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