Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR

Autores
Valetti, Lucio; Cazon, Luis Ignacio; Crociara, Clara Sonia; Pastor, Silvina Estela
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Ascochyta blight is the major disease affecting chickpea (Cicer arietinum) around the world. Since the first report of Ascochyta rabiei's isolation in Argentina in 2012, the pathogen has caused severe economic losses in crop production; so, the detection and rapid identification of the pathogen in early stages is key for the management of the disease. In this work, a traditional PCR procedure for detection of A. rabiei directly from plant tissues has been described based on beta-tubulin gene. The TP-6/TP-9 specific primers designed, amplified only a single PCR band of 770 bp from A. rabiei. The specificity of the primers was checked using 12 isolates of A. rabiei and DNA from 10 other different fungi including common pathogens of chickpea as Alternaria alternata, Botrytis cinerea, Sclerotinia sclerotiorum and Phoma medicaginis that cause similar symptoms. The detection sensitivity with primers was 2 × 104 ng μl−1 genomic DNA. In inoculated plant material, PCR amplification gave a band of the expected size and no amplification was observed when DNA was from healthy and uninoculated plants. The results suggested that the assay detected the pathogen more rapidly and accurately than standard isolation methods. The PCR-based method developed here can simplify both plant disease diagnosis, and pathogen monitoring in an early phase, as well as aid in effective management practices that avoid the disease advance and minimize losses.
Instituto de Patología Vegetal
Fil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.
Fil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.
Fil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina
Fil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.
Fil: Valetti, Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
Fil: Cazón, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
Fil: Pastor, Silvina Estela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
Fuente
Crop Protection : 105463. (16 November 2020)
Materia
Ascochyta Rabiei
Garbanzo
Diagnostic Techniques
Ascochyta Blight on Peas
Chickpeas
Técnicas de Diagnosis
PCR
Molecular Diagnostic
Ascochyta Blight
Chickpea
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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Acceder
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oai_identifier_str oai:localhost:20.500.12123/8639
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spelling Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCRValetti, LucioCazon, Luis IgnacioCrociara, Clara SoniaPastor, Silvina EstelaAscochyta RabieiGarbanzoDiagnostic TechniquesAscochyta Blight on PeasChickpeasTécnicas de DiagnosisPCRMolecular DiagnosticAscochyta BlightChickpeaAscochyta blight is the major disease affecting chickpea (Cicer arietinum) around the world. Since the first report of Ascochyta rabiei's isolation in Argentina in 2012, the pathogen has caused severe economic losses in crop production; so, the detection and rapid identification of the pathogen in early stages is key for the management of the disease. In this work, a traditional PCR procedure for detection of A. rabiei directly from plant tissues has been described based on beta-tubulin gene. The TP-6/TP-9 specific primers designed, amplified only a single PCR band of 770 bp from A. rabiei. The specificity of the primers was checked using 12 isolates of A. rabiei and DNA from 10 other different fungi including common pathogens of chickpea as Alternaria alternata, Botrytis cinerea, Sclerotinia sclerotiorum and Phoma medicaginis that cause similar symptoms. The detection sensitivity with primers was 2 × 104 ng μl−1 genomic DNA. In inoculated plant material, PCR amplification gave a band of the expected size and no amplification was observed when DNA was from healthy and uninoculated plants. The results suggested that the assay detected the pathogen more rapidly and accurately than standard isolation methods. The PCR-based method developed here can simplify both plant disease diagnosis, and pathogen monitoring in an early phase, as well as aid in effective management practices that avoid the disease advance and minimize losses.Instituto de Patología VegetalFil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.Fil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.Fil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; ArgentinaFil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.Fil: Valetti, Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.Fil: Cazón, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.Fil: Pastor, Silvina Estela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.Elsevier2021-01-22T17:44:39Z2021-01-22T17:44:39Z2020-11-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/8639https://www.sciencedirect.com/science/article/pii/S02612194203039630261-2194https://doi.org/10.1016/j.cropro.2020.105463Crop Protection : 105463. (16 November 2020)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:48:45Zoai:localhost:20.500.12123/8639instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:48:46.043INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
title Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
spellingShingle Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
Valetti, Lucio
Ascochyta Rabiei
Garbanzo
Diagnostic Techniques
Ascochyta Blight on Peas
Chickpeas
Técnicas de Diagnosis
PCR
Molecular Diagnostic
Ascochyta Blight
Chickpea
title_short Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
title_full Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
title_fullStr Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
title_full_unstemmed Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
title_sort Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR
dc.creator.none.fl_str_mv Valetti, Lucio
Cazon, Luis Ignacio
Crociara, Clara Sonia
Pastor, Silvina Estela
author Valetti, Lucio
author_facet Valetti, Lucio
Cazon, Luis Ignacio
Crociara, Clara Sonia
Pastor, Silvina Estela
author_role author
author2 Cazon, Luis Ignacio
Crociara, Clara Sonia
Pastor, Silvina Estela
author2_role author
author
author
dc.subject.none.fl_str_mv Ascochyta Rabiei
Garbanzo
Diagnostic Techniques
Ascochyta Blight on Peas
Chickpeas
Técnicas de Diagnosis
PCR
Molecular Diagnostic
Ascochyta Blight
Chickpea
topic Ascochyta Rabiei
Garbanzo
Diagnostic Techniques
Ascochyta Blight on Peas
Chickpeas
Técnicas de Diagnosis
PCR
Molecular Diagnostic
Ascochyta Blight
Chickpea
dc.description.none.fl_txt_mv Ascochyta blight is the major disease affecting chickpea (Cicer arietinum) around the world. Since the first report of Ascochyta rabiei's isolation in Argentina in 2012, the pathogen has caused severe economic losses in crop production; so, the detection and rapid identification of the pathogen in early stages is key for the management of the disease. In this work, a traditional PCR procedure for detection of A. rabiei directly from plant tissues has been described based on beta-tubulin gene. The TP-6/TP-9 specific primers designed, amplified only a single PCR band of 770 bp from A. rabiei. The specificity of the primers was checked using 12 isolates of A. rabiei and DNA from 10 other different fungi including common pathogens of chickpea as Alternaria alternata, Botrytis cinerea, Sclerotinia sclerotiorum and Phoma medicaginis that cause similar symptoms. The detection sensitivity with primers was 2 × 104 ng μl−1 genomic DNA. In inoculated plant material, PCR amplification gave a band of the expected size and no amplification was observed when DNA was from healthy and uninoculated plants. The results suggested that the assay detected the pathogen more rapidly and accurately than standard isolation methods. The PCR-based method developed here can simplify both plant disease diagnosis, and pathogen monitoring in an early phase, as well as aid in effective management practices that avoid the disease advance and minimize losses.
Instituto de Patología Vegetal
Fil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.
Fil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.
Fil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina
Fil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.
Fil: Valetti, Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
Fil: Cazón, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
Fil: Pastor, Silvina Estela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
description Ascochyta blight is the major disease affecting chickpea (Cicer arietinum) around the world. Since the first report of Ascochyta rabiei's isolation in Argentina in 2012, the pathogen has caused severe economic losses in crop production; so, the detection and rapid identification of the pathogen in early stages is key for the management of the disease. In this work, a traditional PCR procedure for detection of A. rabiei directly from plant tissues has been described based on beta-tubulin gene. The TP-6/TP-9 specific primers designed, amplified only a single PCR band of 770 bp from A. rabiei. The specificity of the primers was checked using 12 isolates of A. rabiei and DNA from 10 other different fungi including common pathogens of chickpea as Alternaria alternata, Botrytis cinerea, Sclerotinia sclerotiorum and Phoma medicaginis that cause similar symptoms. The detection sensitivity with primers was 2 × 104 ng μl−1 genomic DNA. In inoculated plant material, PCR amplification gave a band of the expected size and no amplification was observed when DNA was from healthy and uninoculated plants. The results suggested that the assay detected the pathogen more rapidly and accurately than standard isolation methods. The PCR-based method developed here can simplify both plant disease diagnosis, and pathogen monitoring in an early phase, as well as aid in effective management practices that avoid the disease advance and minimize losses.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-16
2021-01-22T17:44:39Z
2021-01-22T17:44:39Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/8639
https://www.sciencedirect.com/science/article/pii/S0261219420303963
0261-2194
https://doi.org/10.1016/j.cropro.2020.105463
url http://hdl.handle.net/20.500.12123/8639
https://www.sciencedirect.com/science/article/pii/S0261219420303963
https://doi.org/10.1016/j.cropro.2020.105463
identifier_str_mv 0261-2194
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Crop Protection : 105463. (16 November 2020)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.623145

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