Literature DB >> 21039667

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

B Llorente1, F Bravo-Almonacid, C Cvitanich, E Orlowska, H N Torres, M M Flawiá, G D Alonso.   

Abstract

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.

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Year:  2010        PMID: 21039667     DOI: 10.1111/j.1472-765X.2010.02942.x

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  13 in total

1.  Phytophthora infestans cholinephosphotransferase with substrate specificity for very-long-chain polyunsaturated fatty acids.

Authors:  Yan Chen; Hsiang-Yun Chi; Dauenpen Meesapyodsuk; Xiao Qiu
Journal:  Appl Environ Microbiol       Date:  2012-12-28       Impact factor: 4.792

2.  Differential gene induction in resistant and susceptible potato cultivars at early stages of infection by Phytophthora infestans.

Authors:  Elżbieta Orłowska; Alice Fiil; Hanne-Grethe Kirk; Briardo Llorente; Cristina Cvitanich
Journal:  Plant Cell Rep       Date:  2011-10-02       Impact factor: 4.570

3.  Host-mediated gene silencing of a single effector gene from the potato pathogen Phytophthora infestans imparts partial resistance to late blight disease.

Authors:  Suman Sanju; Sundaresha Siddappa; Aditi Thakur; Pradeep K Shukla; Nidhi Srivastava; Debasis Pattanayak; Sanjeev Sharma; B P Singh
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4.  A PCR assay for the quantification of growth of the oomycete pathogen Hyaloperonospora arabidopsidis in Arabidopsis thaliana.

Authors:  Ryan G Anderson; John M McDowell
Journal:  Mol Plant Pathol       Date:  2015-05-04       Impact factor: 5.663

5.  Development and application of fluorescent loop mediated isothermal amplification technique to detect Phytophthora infestans from potato tubers targeting ITS-1 region.

Authors:  Gaurav Verma; Sanjeev Sharma; Baswaraj Raigond; Shruti Pathania; Kailash Naga; Swarup Kumar Chakrabarti
Journal:  3 Biotech       Date:  2019-08-24       Impact factor: 2.406

6.  Analysis of the potato calcium-dependent protein kinase family and characterization of StCDPK7, a member induced upon infection with Phytophthora infestans.

Authors:  Elisa Fantino; María Eugenia Segretin; Franco Santin; Federico Gabriel Mirkin; Rita M Ulloa
Journal:  Plant Cell Rep       Date:  2017-04-27       Impact factor: 4.570

7.  Plant-mediated gene silencing restricts growth of the potato late blight pathogen Phytophthora infestans.

Authors:  Sultana N Jahan; Anna K M Åsman; Pádraic Corcoran; Johan Fogelqvist; Ramesh R Vetukuri; Christina Dixelius
Journal:  J Exp Bot       Date:  2015-03-18       Impact factor: 6.992

8.  Pathogen recognition in compatible plant-microbe interactions.

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Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

9.  A novel application of RNase H2-dependent quantitative PCR for detection and quantification of Grosmannia clavigera, a mountain pine beetle fungal symbiont, in environmental samples.

Authors:  Chandra H McAllister; Colleen E Fortier; Kate R St Onge; Bianca M Sacchi; Meaghan J Nawrot; Troy Locke; Janice E K Cooke
Journal:  Tree Physiol       Date:  2018-03-01       Impact factor: 4.196

10.  Infection Efficiency of Four Phytophthora infestans Clonal Lineages and DNA-Based Quantification of Sporangia.

Authors:  Mamadou Lamine Fall; David Mathieu Tremblay; Mélanie Gobeil-Richard; Julie Couillard; Hélène Rocheleau; Hervé Van der Heyden; Camile André Lévesque; Carole Beaulieu; Odile Carisse
Journal:  PLoS One       Date:  2015-08-24       Impact factor: 3.240

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