Literature DB >> 31478826

Improved quadruplex real-time PCR assay for the diagnosis of diphtheria.

Edgar Badell1,2, Sophie Guillot2, Marie Tulliez2, Marine Pascal2, Leonardo Gabriel Panunzi2, Samuel Rose3, David Litt3, Norman K Fry4,3, Sylvain Brisse2,1.   

Abstract

Introduction. Diphtheria is caused by toxigenic strains of Corynebacterium diphtheriae, Corynebacterium ulcerans and Corynebacterium pseudotuberculosis. For diagnostic purposes, species identification and detection of toxigenic strains (diphtheria toxin (tox)-positive strains) is typically performed using end-point PCR. A faster quadruplex real-time PCR (qPCR) was recently developed (De Zoysa et al. J . Med . Microbiol. 2016;65(12):1521-1527).Aims. We aimed to improve the quadruplex method by adding a 16S rRNA gene target as an internal processing control, providing confirmation of the presence of bacterial DNA in the assays, thus avoiding the possibility of false-negative reporting.Methodology. Universal 16S rRNA gene primers and a probe were defined. The novel method was tested using 36 bacterial isolates and 17 clinical samples. Experimental robustness to temperature and reagent concentration variations was assessed.Results. The method allows detection of the tox gene and distinguishing C. diphtheriae (including the newly described species Corynebacterium belfantii) from C. ulcerans and C. pseudotuberculosis. Complete diagnostic specificity, sensitivity and experimental robustness were demonstrated. The lower limit of detection for C. diphtheriae, C. ulcerans and tox targets was 1.86 genome copies per 5 µl reaction volume. The method was successfully used on two distinct qPCR technologies (LightCycler 480, Roche Diagnostics and Rotor-Gene Q, Qiagen) and in two laboratories (Institut Pasteur, Paris, France and Public Health England - National Infection Service, London, UK).Conclusion. This work describes validation of the improved qPCR quadruplex method and supports its implementation for the biological diagnosis of diphtheria.

Entities:  

Keywords:  Corynebacterium diphtheriae; diagnostic; diphtheria; qPCR; real-time PCR

Mesh:

Substances:

Year:  2019        PMID: 31478826     DOI: 10.1099/jmm.0.001070

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  4 in total

1.  Detection and Characterization of Diphtheria Toxin Gene-Bearing Corynebacterium Species through a New Real-Time PCR Assay.

Authors:  Margaret M Williams; Jessica L Waller; Janessa S Aneke; Michael R Weigand; Maureen H Diaz; Katherine E Bowden; Ashley K Simon; Yanhui Peng; Lingzi Xiaoli; Pamela K Cassiday; Jonas Winchell; M Lucia Tondella
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

2.  Taxonomic classification of strain PO100/5 shows a broader geographic distribution and genetic markers of the recently described Corynebacterium silvaticum.

Authors:  Marcus Vinicius Canário Viana; Rodrigo Profeta; Alessandra Lima da Silva; Raquel Hurtado; Janaína Canário Cerqueira; Bruna Ferreira Sampaio Ribeiro; Marcelle Oliveira Almeida; Francielly Morais-Rodrigues; Siomar de Castro Soares; Manuela Oliveira; Luís Tavares; Henrique Figueiredo; Alice Rebecca Wattam; Debmalya Barh; Preetam Ghosh; Artur Silva; Vasco Azevedo
Journal:  PLoS One       Date:  2020-12-21       Impact factor: 3.240

3.  Intramammary infections with Corynebacterium spp. in bovine lactating udder quarters.

Authors:  Anneke Lücken; Svenja Woudstra; Nicole Wente; Yanchao Zhang; Volker Krömker
Journal:  PLoS One       Date:  2022-07-07       Impact factor: 3.752

4.  Population genomics and antimicrobial resistance in Corynebacterium diphtheriae.

Authors:  Melanie Hennart; Leonardo G Panunzi; Carla Rodrigues; Quentin Gaday; Sarah L Baines; Marina Barros-Pinkelnig; Annick Carmi-Leroy; Melody Dazas; Anne Marie Wehenkel; Xavier Didelot; Julie Toubiana; Edgar Badell; Sylvain Brisse
Journal:  Genome Med       Date:  2020-11-27       Impact factor: 11.117

  4 in total

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