A practical method to implement strain-level metagenomics-based foodborne outbreak investigation and source tracking in routine

dc.contributor.authorBuytaers, Florence E.
dc.contributor.authorSaltykova, Assia
dc.contributor.authorDenayer, Sarah
dc.contributor.authorVerhaegen, Bavo
dc.contributor.authorVanneste, Kevin
dc.contributor.authorRoosens, Nancy H.C.
dc.contributor.authorPierard, Denis
dc.contributor.authorMarchal, Kathleen
dc.contributor.authorDe Keersmaecker, Sigrid C.J.
dc.date.accessioned2021-05-25T11:26:22Z
dc.date.available2021-05-25T11:26:22Z
dc.date.issued2020-08-05
dc.descriptionSupplementary material: Table S1: Description of the samples and qPCR result on the DNA extract, Table S2: Gene detection in all metagenomics samples using SRST2, Table S3: SNP distances matrix (per million genomic positions) for STEC phylogenetic tree, Table S4: Model selection and parameters for all trees (Figure 5), Table S5: qPCR results on the enriched food samples and gene detection (SRST2) performed on the isolates obtained from the samples.en_ZA
dc.description.abstractThe management of a foodborne outbreak depends on the rapid and accurate identification of the responsible food source. Conventional methods based on isolation of the pathogen from the food matrix and target-specific real-time polymerase chain reactions (qPCRs) are used in routine. In recent years, the use of whole genome sequencing (WGS) of bacterial isolates has proven its value to collect relevant information for strain characterization as well as tracing the origin of the contamination by linking the food isolate with the patient’s isolate with high resolution. However, the isolation of a bacterial pathogen from food matrices is often time-consuming and not always successful. Therefore, we aimed to improve outbreak investigation by developing a method that can be implemented in reference laboratories to characterize the pathogen in the food vehicle without its prior isolation and link it back to human cases. We tested and validated a shotgun metagenomics approach by spiking food pathogens in specific food matrices using the Shiga toxin-producing Escherichia coli (STEC) as a case study. Different DNA extraction kits and enrichment procedures were investigated to obtain the most practical workflow. We demonstrated the feasibility of shotgun metagenomics to obtain the same information as in ISO/TS 13136:2012 and WGS of the isolate in parallel by inferring the genome of the contaminant and characterizing it in a shorter timeframe. This was achieved in food samples containing different E. coli strains, including a combination of different STEC strains. For the first time, we also managed to link individual strains from a food product to isolates from human cases, demonstrating the power of shotgun metagenomics for rapid outbreak investigation and source tracking.en_ZA
dc.description.departmentGeneticsen_ZA
dc.description.librarianam2021en_ZA
dc.description.sponsorshipThe Belgian Federal Public Service of Health, Food Chain Safety and Environment t and Sciensano.en_ZA
dc.description.urihttp://www.mdpi.com/journal/microorganismsen_ZA
dc.identifier.citationBuytaers, F.E., Saltykova, A., Denayer, S. et al. 2020, 'A practical method to implement strain-level metagenomics-based foodborne outbreak investigation and source tracking in routine', Microorganisms, vol. 8, no. 1191, pp. 1-23.en_ZA
dc.identifier.issn2076-2607 (online)
dc.identifier.other10.3390/microorganisms8081191
dc.identifier.urihttp://hdl.handle.net/2263/80096
dc.language.isoenen_ZA
dc.publisherMDPIen_ZA
dc.rights© 2020 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_ZA
dc.subjectMetagenomicsen_ZA
dc.subjectSNP analysisen_ZA
dc.subjectOutbreaken_ZA
dc.subjectFood surveillanceen_ZA
dc.subjectWhole genome sequencing (WGS)en_ZA
dc.subjectShiga toxin-producing Escherichia coli (STEC)en_ZA
dc.titleA practical method to implement strain-level metagenomics-based foodborne outbreak investigation and source tracking in routineen_ZA
dc.typeArticleen_ZA

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