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

Autores
Valetti, Lucio; Cazón, Luis Ignacio; Crociara, Clara Sonia; Pastor, Silvina Estela
Año de publicación
2021
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.
Fil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina
Fil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Materia
ASCOCHYTA BLIGHT
ASCOCHYTA RABIEI
CHICKPEA
MOLECULAR DIAGNOSTIC
Nivel de accesibilidad
acceso embargado
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/144687
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/144687
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCRValetti, LucioCazón, Luis IgnacioCrociara, Clara SoniaPastor, Silvina EstelaASCOCHYTA BLIGHTASCOCHYTA RABIEICHICKPEAMOLECULAR DIAGNOSTIChttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Ascochyta 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.Fil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; ArgentinaFil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; ArgentinaFil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; ArgentinaFil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; ArgentinaElsevier2021-05info:eu-repo/date/embargoEnd/2021-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/144687Valetti, Lucio; Cazón, Luis Ignacio; Crociara, Clara Sonia; Pastor, Silvina Estela; Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR; Elsevier; Crop Protection; 143; 5-2021; 1-310261-2194CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0261219420303963info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cropro.2020.105463info:eu-repo/semantics/embargoedAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:48Zoai:ri.conicet.gov.ar:11336/144687instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:43:48.367CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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 BLIGHT
ASCOCHYTA RABIEI
CHICKPEA
MOLECULAR DIAGNOSTIC
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
Cazón, Luis Ignacio
Crociara, Clara Sonia
Pastor, Silvina Estela
author Valetti, Lucio
author_facet Valetti, Lucio
Cazón, Luis Ignacio
Crociara, Clara Sonia
Pastor, Silvina Estela
author_role author
author2 Cazón, Luis Ignacio
Crociara, Clara Sonia
Pastor, Silvina Estela
author2_role author
author
author
dc.subject.none.fl_str_mv ASCOCHYTA BLIGHT
ASCOCHYTA RABIEI
CHICKPEA
MOLECULAR DIAGNOSTIC
topic ASCOCHYTA BLIGHT
ASCOCHYTA RABIEI
CHICKPEA
MOLECULAR DIAGNOSTIC
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
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.
Fil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina
Fil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Patología Vegetal; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; 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 2021
dc.date.none.fl_str_mv 2021-05
info:eu-repo/date/embargoEnd/2021-12-01
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/11336/144687
Valetti, Lucio; Cazón, Luis Ignacio; Crociara, Clara Sonia; Pastor, Silvina Estela; Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR; Elsevier; Crop Protection; 143; 5-2021; 1-31
0261-2194
CONICET Digital
CONICET
url http://hdl.handle.net/11336/144687
identifier_str_mv Valetti, Lucio; Cazón, Luis Ignacio; Crociara, Clara Sonia; Pastor, Silvina Estela; Early detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCR; Elsevier; Crop Protection; 143; 5-2021; 1-31
0261-2194
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0261219420303963
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cropro.2020.105463
dc.rights.none.fl_str_mv info:eu-repo/semantics/embargoedAccess
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eu_rights_str_mv embargoedAccess
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dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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