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Genomically Informed Strain-Specific Recovery of Shiga Toxin–Producing Escherichia coli during Foodborne Illness Outbreak Investigations

Author:
Blais, Burton W., Tapp, Kyle, Dixon, Martine, Carrillo, Catherine D.
Source:
Journal of food protection 2019 v.82 no.1 pp. 39-44
ISSN:
0362-028X
Subject:
Shiga toxin-producing Escherichia coli, antibiotic resistance, antibiotics, foodborne illness, ground beef, high-throughput nucleotide sequencing, markets, microorganisms, models, outbreak investigation, pathogens, serotypes, source attribution
Abstract:
Next-generation sequencing plays an important role in the characterization of clinical bacterial isolates for source attribution purposes during investigations of foodborne illness outbreaks. Once an illness cluster and a suspect food vehicle have been identified, food testing is initiated for confirmation and to determine the scope of a contamination event so that the implicated lots may be removed from the marketplace. For biochemically diverse families of pathogens such as Shiga toxin–producing Escherichia coli (STEC), the ability to detect specific strains may be hampered by the lack of a universal selective enrichment approach for their recovery against high levels of background microbiota. The availability of whole genome sequence data for a given outbreak STEC strain prior to commencement of food testing may provide food microbiologists an opportunity to customize selective enrichment techniques favoring the recovery of the outbreak strain. Here we demonstrate the advantages of using the publicly available ResFinder tool in the analysis of STEC model strains belonging to serotypes O111 and O157 to determine antimicrobial resistance traits that can be used in formulating strain-specific enrichment media to enhance recovery of these strains from microbiologically complex food samples. The improved recovery from ground beef of model STEC strains with various antimicrobial resistance profiles was demonstrated using three classes of antibiotics as selective agents, suggesting the universal applicability of this new approach in supporting foodborne illness investigations.
Agid:
6296168