A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth

Autores
Llorente, B.; Bravo-Almonacid, F.; Cvitanich, C.; Orlowska, E.; Torres, H.N.; Flawiá, M.M.; Alonso, G.D.
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aims: To establish a reliable and rapid protocol to simultaneously obtain high quality DNA from an infected host plant and the infecting pathogen. To develop an accurate and sensitive low-cost assay for the quantification and in planta monitoring of Phytophthora infestans growth.Methods and Results: In this study, we describe a SYBR Green-based quantitative real-time PCR (qPCR) method for the quantification of P. infestans. The method is based on a simultaneous plant-pathogen DNA purification followed by a qPCR in which the relative quantification of pathogen and plant DNA is performed. Besides assuring an accurate quantification, the use of a plant gene provides a reliable indicator of sample quality, allowing the exclusion of inappropriate samples. By applying this methodology, we were able to detect P. infestans in potato leaf and tuber tissue before the first symptoms of the disease were observed and to monitor the in planta growth of the pathogen for 6 days.Conclusions: This is a reliable low-cost assay that provides rapid, accurate and sensitive quantification of the late blight pathogen, allowing the in planta monitoring of P. infestans growth.Significance and Impact of the Study: The quantitative nature of the assay described in this study may be useful in plant breeding programmes and basic research. The method is appropriate for the comparison of cultivars with different, and even subtle, degrees of pathogen resistance and in the screening of new anti-oomycete compounds. The method can be easily adapted to tomato and the model plant Nicotiana benthamiana. © No claim to Argentinean Government works. Letters in Applied Microbiology 51, 603-610 © 2010 The Society for Applied Microbiology.
Fil:Llorente, B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Torres, H.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Flawiá, M.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Alonso, G.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Lett. Appl. Microbiol. 2010;51(6):603-610
Materia
Biomass monitoring
Late blight
Phytophthora infestans
Potato crop
Quantitative real-time PCR
Solanum tuberosum
adaptation
bioassay
cultivar
disease resistance
fungal disease
growth rate
host plant
host-pathogen interaction
monitoring system
plant breeding
polymerase chain reaction
real time
symptom
tuber
article
DNA purification
fungus growth
monitoring
nonhuman
nucleotide sequence
pathogenesis
Phytophthora infestans
plant
plant disease
plant gene
plant leaf
potato
quantitative analysis
real time polymerase chain reaction
DNA
DNA Primers
DNA, Plant
Organic Chemicals
Phytophthora infestans
Plant Diseases
Plant Leaves
Plant Tubers
Polymerase Chain Reaction
Solanum tuberosum
Species Specificity
Lycopersicon esculentum
Nicotiana benthamiana
Phytophthora infestans
Solanum tuberosum
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_02668254_v51_n6_p603_Llorente

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oai_identifier_str paperaa:paper_02668254_v51_n6_p603_Llorente
network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growthLlorente, B.Bravo-Almonacid, F.Cvitanich, C.Orlowska, E.Torres, H.N.Flawiá, M.M.Alonso, G.D.Biomass monitoringLate blightPhytophthora infestansPotato cropQuantitative real-time PCRSolanum tuberosumadaptationbioassaycultivardisease resistancefungal diseasegrowth ratehost planthost-pathogen interactionmonitoring systemplant breedingpolymerase chain reactionreal timesymptomtuberarticleDNA purificationfungus growthmonitoringnonhumannucleotide sequencepathogenesisPhytophthora infestansplantplant diseaseplant geneplant leafpotatoquantitative analysisreal time polymerase chain reactionDNADNA PrimersDNA, PlantOrganic ChemicalsPhytophthora infestansPlant DiseasesPlant LeavesPlant TubersPolymerase Chain ReactionSolanum tuberosumSpecies SpecificityLycopersicon esculentumNicotiana benthamianaPhytophthora infestansSolanum tuberosumAims: To establish a reliable and rapid protocol to simultaneously obtain high quality DNA from an infected host plant and the infecting pathogen. To develop an accurate and sensitive low-cost assay for the quantification and in planta monitoring of Phytophthora infestans growth.Methods and Results: In this study, we describe a SYBR Green-based quantitative real-time PCR (qPCR) method for the quantification of P. infestans. The method is based on a simultaneous plant-pathogen DNA purification followed by a qPCR in which the relative quantification of pathogen and plant DNA is performed. Besides assuring an accurate quantification, the use of a plant gene provides a reliable indicator of sample quality, allowing the exclusion of inappropriate samples. By applying this methodology, we were able to detect P. infestans in potato leaf and tuber tissue before the first symptoms of the disease were observed and to monitor the in planta growth of the pathogen for 6 days.Conclusions: This is a reliable low-cost assay that provides rapid, accurate and sensitive quantification of the late blight pathogen, allowing the in planta monitoring of P. infestans growth.Significance and Impact of the Study: The quantitative nature of the assay described in this study may be useful in plant breeding programmes and basic research. The method is appropriate for the comparison of cultivars with different, and even subtle, degrees of pathogen resistance and in the screening of new anti-oomycete compounds. The method can be easily adapted to tomato and the model plant Nicotiana benthamiana. © No claim to Argentinean Government works. Letters in Applied Microbiology 51, 603-610 © 2010 The Society for Applied Microbiology.Fil:Llorente, B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Torres, H.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Flawiá, M.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Alonso, G.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2010info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_02668254_v51_n6_p603_LlorenteLett. Appl. Microbiol. 2010;51(6):603-610reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-10-23T11:18:25Zpaperaa:paper_02668254_v51_n6_p603_LlorenteInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-10-23 11:18:26.908Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
title A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
spellingShingle A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
Llorente, B.
Biomass monitoring
Late blight
Phytophthora infestans
Potato crop
Quantitative real-time PCR
Solanum tuberosum
adaptation
bioassay
cultivar
disease resistance
fungal disease
growth rate
host plant
host-pathogen interaction
monitoring system
plant breeding
polymerase chain reaction
real time
symptom
tuber
article
DNA purification
fungus growth
monitoring
nonhuman
nucleotide sequence
pathogenesis
Phytophthora infestans
plant
plant disease
plant gene
plant leaf
potato
quantitative analysis
real time polymerase chain reaction
DNA
DNA Primers
DNA, Plant
Organic Chemicals
Phytophthora infestans
Plant Diseases
Plant Leaves
Plant Tubers
Polymerase Chain Reaction
Solanum tuberosum
Species Specificity
Lycopersicon esculentum
Nicotiana benthamiana
Phytophthora infestans
Solanum tuberosum
title_short A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
title_full A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
title_fullStr A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
title_full_unstemmed A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
title_sort A quantitative real-time PCR method for in planta monitoring of Phytophthora infestans growth
dc.creator.none.fl_str_mv Llorente, B.
Bravo-Almonacid, F.
Cvitanich, C.
Orlowska, E.
Torres, H.N.
Flawiá, M.M.
Alonso, G.D.
author Llorente, B.
author_facet Llorente, B.
Bravo-Almonacid, F.
Cvitanich, C.
Orlowska, E.
Torres, H.N.
Flawiá, M.M.
Alonso, G.D.
author_role author
author2 Bravo-Almonacid, F.
Cvitanich, C.
Orlowska, E.
Torres, H.N.
Flawiá, M.M.
Alonso, G.D.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Biomass monitoring
Late blight
Phytophthora infestans
Potato crop
Quantitative real-time PCR
Solanum tuberosum
adaptation
bioassay
cultivar
disease resistance
fungal disease
growth rate
host plant
host-pathogen interaction
monitoring system
plant breeding
polymerase chain reaction
real time
symptom
tuber
article
DNA purification
fungus growth
monitoring
nonhuman
nucleotide sequence
pathogenesis
Phytophthora infestans
plant
plant disease
plant gene
plant leaf
potato
quantitative analysis
real time polymerase chain reaction
DNA
DNA Primers
DNA, Plant
Organic Chemicals
Phytophthora infestans
Plant Diseases
Plant Leaves
Plant Tubers
Polymerase Chain Reaction
Solanum tuberosum
Species Specificity
Lycopersicon esculentum
Nicotiana benthamiana
Phytophthora infestans
Solanum tuberosum
topic Biomass monitoring
Late blight
Phytophthora infestans
Potato crop
Quantitative real-time PCR
Solanum tuberosum
adaptation
bioassay
cultivar
disease resistance
fungal disease
growth rate
host plant
host-pathogen interaction
monitoring system
plant breeding
polymerase chain reaction
real time
symptom
tuber
article
DNA purification
fungus growth
monitoring
nonhuman
nucleotide sequence
pathogenesis
Phytophthora infestans
plant
plant disease
plant gene
plant leaf
potato
quantitative analysis
real time polymerase chain reaction
DNA
DNA Primers
DNA, Plant
Organic Chemicals
Phytophthora infestans
Plant Diseases
Plant Leaves
Plant Tubers
Polymerase Chain Reaction
Solanum tuberosum
Species Specificity
Lycopersicon esculentum
Nicotiana benthamiana
Phytophthora infestans
Solanum tuberosum
dc.description.none.fl_txt_mv Aims: To establish a reliable and rapid protocol to simultaneously obtain high quality DNA from an infected host plant and the infecting pathogen. To develop an accurate and sensitive low-cost assay for the quantification and in planta monitoring of Phytophthora infestans growth.Methods and Results: In this study, we describe a SYBR Green-based quantitative real-time PCR (qPCR) method for the quantification of P. infestans. The method is based on a simultaneous plant-pathogen DNA purification followed by a qPCR in which the relative quantification of pathogen and plant DNA is performed. Besides assuring an accurate quantification, the use of a plant gene provides a reliable indicator of sample quality, allowing the exclusion of inappropriate samples. By applying this methodology, we were able to detect P. infestans in potato leaf and tuber tissue before the first symptoms of the disease were observed and to monitor the in planta growth of the pathogen for 6 days.Conclusions: This is a reliable low-cost assay that provides rapid, accurate and sensitive quantification of the late blight pathogen, allowing the in planta monitoring of P. infestans growth.Significance and Impact of the Study: The quantitative nature of the assay described in this study may be useful in plant breeding programmes and basic research. The method is appropriate for the comparison of cultivars with different, and even subtle, degrees of pathogen resistance and in the screening of new anti-oomycete compounds. The method can be easily adapted to tomato and the model plant Nicotiana benthamiana. © No claim to Argentinean Government works. Letters in Applied Microbiology 51, 603-610 © 2010 The Society for Applied Microbiology.
Fil:Llorente, B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Torres, H.N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Flawiá, M.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Alonso, G.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description Aims: To establish a reliable and rapid protocol to simultaneously obtain high quality DNA from an infected host plant and the infecting pathogen. To develop an accurate and sensitive low-cost assay for the quantification and in planta monitoring of Phytophthora infestans growth.Methods and Results: In this study, we describe a SYBR Green-based quantitative real-time PCR (qPCR) method for the quantification of P. infestans. The method is based on a simultaneous plant-pathogen DNA purification followed by a qPCR in which the relative quantification of pathogen and plant DNA is performed. Besides assuring an accurate quantification, the use of a plant gene provides a reliable indicator of sample quality, allowing the exclusion of inappropriate samples. By applying this methodology, we were able to detect P. infestans in potato leaf and tuber tissue before the first symptoms of the disease were observed and to monitor the in planta growth of the pathogen for 6 days.Conclusions: This is a reliable low-cost assay that provides rapid, accurate and sensitive quantification of the late blight pathogen, allowing the in planta monitoring of P. infestans growth.Significance and Impact of the Study: The quantitative nature of the assay described in this study may be useful in plant breeding programmes and basic research. The method is appropriate for the comparison of cultivars with different, and even subtle, degrees of pathogen resistance and in the screening of new anti-oomycete compounds. The method can be easily adapted to tomato and the model plant Nicotiana benthamiana. © No claim to Argentinean Government works. Letters in Applied Microbiology 51, 603-610 © 2010 The Society for Applied Microbiology.
publishDate 2010
dc.date.none.fl_str_mv 2010
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/20.500.12110/paper_02668254_v51_n6_p603_Llorente
url http://hdl.handle.net/20.500.12110/paper_02668254_v51_n6_p603_Llorente
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Lett. Appl. Microbiol. 2010;51(6):603-610
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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