Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples
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.
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Format: | artículo biblioteca |
Language: | English |
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American Phytopathological Society
2020-04
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Subjects: | Fungi, Fuit, Tree fruits, Pathogen detection, |
Online Access: | http://hdl.handle.net/10261/223527 |
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dig-icvv-es-10261-2235272020-12-15T04:45:48Z Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples Martínez-Diz, M. P. Andrés-Sodupe, Marcos Berbegal, Mónica Bujanda, Rebeca Díaz-Losada, Emilia Gramaje, David Martínez-Diz, M. P. [0000-0003-0831-0524] Gramaje, David [0000-0003-1755-3413] Fungi Fuit Tree fruits Pathogen detection 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. Peer reviewed 2020-11-24T07:56:52Z 2020-11-24T07:56:52Z 2020-04 artículo http://purl.org/coar/resource_type/c_6501 Plant Disease 104: 4 (2020) 0191-2917 http://hdl.handle.net/10261/223527 10.1094/PDIS-03-19-0529-RE en Preprint http://dx.doi.org/10.1094/PDIS-03-19-0529-RE Sí open American Phytopathological Society |
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Fungi Fuit Tree fruits Pathogen detection Fungi Fuit Tree fruits Pathogen detection Martínez-Diz, M. P. Andrés-Sodupe, Marcos Berbegal, Mónica Bujanda, Rebeca Díaz-Losada, Emilia Gramaje, David Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples |
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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. |
author2 |
Martínez-Diz, M. P. [0000-0003-0831-0524] |
author_facet |
Martínez-Diz, M. P. [0000-0003-0831-0524] Martínez-Diz, M. P. Andrés-Sodupe, Marcos Berbegal, Mónica Bujanda, Rebeca Díaz-Losada, Emilia Gramaje, David |
format |
artículo |
topic_facet |
Fungi Fuit Tree fruits Pathogen detection |
author |
Martínez-Diz, M. P. Andrés-Sodupe, Marcos Berbegal, Mónica Bujanda, Rebeca Díaz-Losada, Emilia Gramaje, David |
author_sort |
Martínez-Diz, M. P. |
title |
Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples |
title_short |
Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples |
title_full |
Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples |
title_fullStr |
Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples |
title_full_unstemmed |
Droplet Digital PCR technology for detection of Ilyonectria liriodendri from grapevine environmental samples |
title_sort |
droplet digital pcr technology for detection of ilyonectria liriodendri from grapevine environmental samples |
publisher |
American Phytopathological Society |
publishDate |
2020-04 |
url |
http://hdl.handle.net/10261/223527 |
work_keys_str_mv |
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