Literature DB >> 28221953

Comparative Evaluation of Genomic and Laboratory Approaches for Determination of Shiga Toxin Subtypes in Escherichia coli.

Catherine D Carrillo1, Adam G Koziol1, Amit Mathews1, Noriko Goji1, Dominic Lambert1, George Huszczynski1, Martine Gauthier1, Kingsley Amoako1, Burton W Blais1.   

Abstract

The determination of Shiga toxin (ST) subtypes can be an important element in the risk characterization of foodborne ST-producing Escherichia coli (STEC) isolates for making risk management decisions. ST subtyping methods include PCR techniques based on electrophoretic or pyrosequencing analysis of amplicons and in silico techniques based on whole genome sequence analysis using algorithms that can be readily incorporated into bioinformatics analysis pipelines for characterization of isolates by their genetic composition. The choice of technique will depend on the performance characteristics of the method and an individual laboratory's access to specialized equipment or personnel. We developed two whole genome sequence-based ST subtyping tools: (i) an in silico PCR algorithm requiring genome assembly to replicate a reference PCR-based method developed by the Statens Serum Institut (SSI) and (ii) an assembly-independent routine in which raw sequencing results are mapped to a database of known ST subtype sequence variants (V-Typer). These tools were evaluated alongside the SSI reference PCR method and a recently described PCR-based pyrosequencing technique. The V-Typer method results corresponded closely with the reference method in the analysis of 67 STEC cultures obtained from a World Health Organization National Reference Laboratory. In contrast, the in silico PCR method failed to detect ST subtypes in several cases, a result which we attribute to assembly-induced errors typically encountered with repetitive gene sequences. The V-Typer can be readily integrated into bioinformatics protocols used in the identification and characterization of foodborne STEC isolates.

Entities:  

Keywords:  Genomics tool; Shiga toxin subtype; Shiga toxin–producing Escherichia coli

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Year:  2016        PMID: 28221953     DOI: 10.4315/0362-028X.JFP-16-228

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  4 in total

1.  Characterization of Atypical Shiga Toxin Gene Sequences and Description of Stx2j, a New Subtype.

Authors:  Alexander Gill; Forest Dussault; Tanis McMahon; Nicholas Petronella; Xiong Wang; Elizabeth Cebelinski; Flemming Scheutz; Kelly Weedmark; Burton Blais; Catherine Carrillo
Journal:  J Clin Microbiol       Date:  2022-03-16       Impact factor: 11.677

2.  Phylotyper: in silico predictor of gene subtypes.

Authors:  Matthew D Whiteside; Victor P J Gannon; Chad R Laing
Journal:  Bioinformatics       Date:  2017-11-15       Impact factor: 6.937

3.  Spfy: an integrated graph database for real-time prediction of bacterial phenotypes and downstream comparative analyses.

Authors:  Kevin K Le; Matthew D Whiteside; James E Hopkins; Victor P J Gannon; Chad R Laing
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

4.  Systematic Evaluation of Whole Genome Sequence-Based Predictions of Salmonella Serotype and Antimicrobial Resistance.

Authors:  Ashley L Cooper; Andrew J Low; Adam G Koziol; Matthew C Thomas; Daniel Leclair; Sandeep Tamber; Alex Wong; Burton W Blais; Catherine D Carrillo
Journal:  Front Microbiol       Date:  2020-04-03       Impact factor: 5.640

  4 in total

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