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
- 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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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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1846784879712272384 |
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12.982451 |