Literature DB >> 19821731

Development of a TaqMan real-time PCR assay for quantification of airborne conidia of Botrytis squamosa and management of botrytis leaf blight of onion.

O Carisse1, D M Tremblay, C A Lévesque, K Gindro, P Ward, A Houde.   

Abstract

The use of a DNA-based method for quantifying airborne inoculum of Botrytis squamosa, a damaging pathogen of onion, was investigated. A method for purifying DNA from conidia collected using rotating-arm samplers and quantifying it using a TaqMan real-time quantitative polymerase chain reaction (qPCR) assay is described. The sensitivity of the qPCR assay was high, with a detection limit of 2 conidia/rod. A linear relationship between numbers of conidia counted with a compound microscope and those determined with the qPCR assay was obtained. Receiver operating characteristic curve analysis was used to evaluate the reliability of the two methods of conidia quantification (microscope examination and qPCR assay) to predict the risk of disease being below or above a damage threshold (D(th)). In total, 142 field samples from commercial onion fields were analyzed. At damage thresholds of 5 or 10 lesions/leaf, conidia quantification with the qPCR assay was more reliable at predicting disease risk than conidia quantification based on microscope counts. The proportion of decisions where the disease was present and predicted was higher for the qPCR assay than for the microscope counts, with values of 0.95 and 0.89 compared with 0.79 and 0.81 for D(th) of 5 and 10 lesions/leaf, respectively. The proportion of decisions where the disease was present but not predicted was lower for the qPCR assay than for microscope counts, with values of 0.05 and 0.11 compared with 0.20 and 0.19 for D(th) of 5 and 10 lesions/leaf, respectively. The results demonstrated that this new qPCR assay was reliable for quantifying B. squamosa airborne inoculum in commercial onion fields and that molecular conidia quantification could be used as a component of a risk management system for Botrytis leaf blight.

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Year:  2009        PMID: 19821731     DOI: 10.1094/PHYTO-99-11-1273

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  6 in total

1.  Rapid detection of Ceratocystis platani inoculum by quantitative real-time PCR assay.

Authors:  Nicola Luchi; Luisa Ghelardini; Lassaâd Belbahri; Marion Quartier; Alberto Santini
Journal:  Appl Environ Microbiol       Date:  2013-06-28       Impact factor: 4.792

2.  Innovations in air sampling to detect plant pathogens.

Authors:  Js West; Rbe Kimber
Journal:  Ann Appl Biol       Date:  2015-01-19       Impact factor: 2.750

3.  Fungal Communities Including Plant Pathogens in Near Surface Air Are Similar across Northwestern Europe.

Authors:  Mogens Nicolaisen; Jonathan S West; Rumakanta Sapkota; Gail G M Canning; Cor Schoen; Annemarie F Justesen
Journal:  Front Microbiol       Date:  2017-09-08       Impact factor: 5.640

4.  Coupling Spore Traps and Quantitative PCR Assays for Detection of the Downy Mildew Pathogens of Spinach (Peronospora effusa) and Beet (P. schachtii).

Authors:  Steven J Klosterman; Amy Anchieta; Neil McRoberts; Steven T Koike; Krishna V Subbarao; Hermann Voglmayr; Young-Joon Choi; Marco Thines; Frank N Martin
Journal:  Phytopathology       Date:  2014-12       Impact factor: 4.025

5.  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

6.  Development of a quantitative loop-mediated isothermal amplification assay for the field detection of Erysiphe necator.

Authors:  Lindsey D Thiessen; Tara M Neill; Walter F Mahaffee
Journal:  PeerJ       Date:  2018-04-20       Impact factor: 2.984

  6 in total

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