Literature DB >> 26864896

Multiplex PCR assay for simultaneous detection of six major bacterial pathogens of rice.

Z Cui1, M R Ojaghian1, Z Tao1, K U Kakar1, J Zeng1, W Zhao2, Y Duan3, C M Vera Cruz4, B Li1, B Zhu1,5, G Xie1.   

Abstract

AIMS: The aim of this study was to develop a multiplex PCR (mPCR) assay for rapid, sensitive and simultaneous detection of six important rice pathogens: Xanthomonas oryzae pv. oryzae, X. oryzae pv. oryzicola, Pseudomonas fuscovaginae, Burkholderia glumae, Burkholderia gladioli and Acidovorax avenae subsp. avenae. METHODS AND
RESULTS: Specific primers were designed through a bioinformatics pipeline. Sensitivity of detection was established using both traditional PCR and quantitative real-time PCR on isolated DNA and on bacterial cells both in vitro and in simulated diseased seeds and the parameters were optimized for an mPCR assay. A total of 150 bacterial strains were tested for specificity. The mPCR assay accurately predicted the presence of pathogens among 44 symptomatic and asymptomatic rice seed, sheath and leaf samples.
CONCLUSIONS: This study confirmed that this mPCR assay is a rapid, reliable and simple tool for the simultaneous detection of six important rice bacterial pathogens. SIGNIFICANCE AND IMPACT OF THE STUDY: This study is the first report of a method allowing simultaneous detection of six major rice pathogens. The ability to use crude extracts from plants without bacterial isolation or DNA extraction enhances the value of this mPCR technology for rapid detection and aetiological/epidemiological studies.
© 2016 The Society for Applied Microbiology.

Entities:  

Keywords:  comparative genomics; detection; multiplex PCR; quantitative real-time PCR; rice bacterial pathogens

Mesh:

Substances:

Year:  2016        PMID: 26864896     DOI: 10.1111/jam.13094

Source DB:  PubMed          Journal:  J Appl Microbiol        ISSN: 1364-5072            Impact factor:   3.772


  6 in total

1.  An Efficient Inoculation Technique to Assess the Pathogenicity of Pantoea Species Associated to Bacterial Blight of Rice.

Authors:  Kossi Kini; Raoul Agnimonhan; Issa Wonni; Drissa Silue
Journal:  Bio Protoc       Date:  2020-09-05

2.  Role of the Genes of Type VI Secretion System in Virulence of Rice Bacterial Brown Stripe Pathogen Acidovorax avenae subsp. avenae Strain RS-2.

Authors:  Md Mahidul Islam Masum; Yingzi Yang; Bin Li; Ogunyemi Solabomi Olaitan; Jie Chen; Yang Zhang; Yushi Fang; Wen Qiu; Yanli Wang; Guochang Sun
Journal:  Int J Mol Sci       Date:  2017-09-21       Impact factor: 5.923

Review 3.  Trends in Molecular Diagnosis and Diversity Studies for Phytosanitary Regulated Xanthomonas.

Authors:  Vittoria Catara; Jaime Cubero; Joël F Pothier; Eran Bosis; Claude Bragard; Edyta Đermić; Maria C Holeva; Marie-Agnès Jacques; Francoise Petter; Olivier Pruvost; Isabelle Robène; David J Studholme; Fernando Tavares; Joana G Vicente; Ralf Koebnik; Joana Costa
Journal:  Microorganisms       Date:  2021-04-16

4.  Host succinate inhibits influenza virus infection through succinylation and nuclear retention of the viral nucleoprotein.

Authors:  Antoine Guillon; Deborah Brea-Diakite; Adeline Cezard; Olivier Herault; Nadia Naffakh; Ronan Le Goffic; Alan Wacquiez; Thomas Baranek; Jérôme Bourgeais; Frédéric Picou; Virginie Vasseur; Léa Meyer; Christophe Chevalier; Adrien Auvet; José M Carballido; Lydie Nadal Desbarats; Florent Dingli; Andrei Turtoi; Audrey Le Gouellec; Florence Fauvelle; Amélie Donchet; Thibaut Crépin; Pieter S Hiemstra; Christophe Paget; Damarys Loew; Mustapha Si-Tahar
Journal:  EMBO J       Date:  2022-05-04       Impact factor: 14.012

5.  Colorimetric loop-mediated isothermal amplification assay for detection and ecological monitoring of Sarocladium oryzae, an important seed-borne pathogen of rice.

Authors:  Prassan Choudhary; Sanjay Kumar Goswami; Hillol Chakdar; Shaloo Verma; Shobit Thapa; Alok Kumar Srivastava; Anil Kumar Saxena
Journal:  Front Plant Sci       Date:  2022-08-18       Impact factor: 6.627

6.  Design of a new multiplex PCR assay for rice pathogenic bacteria detection and its application to infer disease incidence and detect co-infection in rice fields in Burkina Faso.

Authors:  Martine Bangratz; Issa Wonni; Kossi Kini; Moussa Sondo; Christophe Brugidou; Gilles Béna; Fatoumata Gnacko; Mariam Barro; Ralf Koebnik; Drissa Silué; Charlotte Tollenaere
Journal:  PLoS One       Date:  2020-04-27       Impact factor: 3.240

  6 in total

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