Literature DB >> 21296939

Molecular risk assessment and epidemiological typing of Shiga toxin-producing Escherichia coli by using a novel PCR binary typing system.

Stephanie M Brandt1, Nicola King, Angela J Cornelius, Aruni Premaratne, Thomas E Besser, Stephen L W On.   

Abstract

Shiga toxin-producing Escherichia coli (STEC) is a zoonotic pathogen that causes diarrheal disease in humans and is of public health concern because of its ability to cause outbreaks and severe disease such as hemorrhagic colitis or hemolytic-uremic syndrome. More than 400 serotypes of STEC have been implicated in outbreaks and sporadic human disease. The aim of this study was to develop a PCR binary typing (P-BIT) system that could be used to aid in risk assessment and epidemiological studies of STEC by using gene targets that would represent a broad range of STEC virulence genes. We investigated the distribution of 41 gene targets in 75 O157 and non-O157 STEC isolates and found that P-BIT provided 100% typeability for isolates, gave a diversity index of 97.33% (compared with 99.28% for XbaI pulsed-field gel electrophoresis [PFGE] typing), and produced 100% discrimination for non-O157 STEC isolates. We identified 24 gene targets that conferred the same level of discrimination and produced the same cluster dendrogram as the 41 gene targets initially examined. P-BIT clustering identified O157 from non-O157 isolates and identified seropathotypes associated with outbreaks and severe disease. Numerical analysis of the P-BIT data identified several genes associated with human or nonhuman sources as well as high-risk seropathotypes. We conclude that P-BIT is a useful approach for subtyping, offering the advantage of speed, low cost, and potential for strain risk assessment that can be used in tandem with current molecular typing schema for STEC.

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Year:  2011        PMID: 21296939      PMCID: PMC3067443          DOI: 10.1128/AEM.02322-10

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  64 in total

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Journal:  Appl Environ Microbiol       Date:  2007-12-28       Impact factor: 4.792

4.  Genomic O island 122, locus for enterocyte effacement, and the evolution of virulent verocytotoxin-producing Escherichia coli.

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Journal:  Appl Environ Microbiol       Date:  2009-12-18       Impact factor: 4.792

8.  Low-density macroarray targeting non-locus of enterocyte effacement effectors (nle genes) and major virulence factors of Shiga toxin-producing Escherichia coli (STEC): a new approach for molecular risk assessment of STEC isolates.

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10.  Molecular analysis as an aid to assess the public health risk of non-O157 Shiga toxin-producing Escherichia coli strains.

Authors:  Brian K Coombes; Mark E Wickham; Mariola Mascarenhas; Samantha Gruenheid; B Brett Finlay; Mohamed A Karmali
Journal:  Appl Environ Microbiol       Date:  2008-02-01       Impact factor: 4.792

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  9 in total

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Authors:  Marion Tseng; Pina M Fratamico; Lori Bagi; Sabine Delannoy; Patrick Fach; Shannon D Manning; Julie A Funk
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4.  Virulence factors of Shiga toxin-producing Escherichia coli and the risk of developing haemolytic uraemic syndrome in Norway, 1992-2013.

Authors:  U Naseer; I Løbersli; M Hindrum; T Bruvik; L T Brandal
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-04-08       Impact factor: 3.267

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6.  Multi-Year Persistence of Verotoxigenic Escherichia coli (VTEC) in a Closed Canadian Beef Herd: A Cohort Study.

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7.  Use of virulence determinants and seropathotypes to distinguish high- and low-risk Escherichia coli O157 and non-O157 isolates from Europe.

Authors:  M F Anjum; E Jones; V Morrison; R Tozzoli; S Morabito; I Toth; B Nagy; G Smith; A Aspan; E M Nielsen; P Fach; S Herrera-León; M J Woodward; R M LA Ragione
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8.  Characterization of Shiga Toxin Subtypes and Virulence Genes in Porcine Shiga Toxin-Producing Escherichia coli.

Authors:  Gian Marco Baranzoni; Pina M Fratamico; Jayanthi Gangiredla; Isha Patel; Lori K Bagi; Sabine Delannoy; Patrick Fach; Federica Boccia; Aniello Anastasio; Tiziana Pepe
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9.  FDA Escherichia coli Identification (FDA-ECID) Microarray: a Pangenome Molecular Toolbox for Serotyping, Virulence Profiling, Molecular Epidemiology, and Phylogeny.

Authors:  Isha R Patel; Jayanthi Gangiredla; David W Lacher; Mark K Mammel; Scott A Jackson; Keith A Lampel; Christopher A Elkins
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  9 in total

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