Enteric fever cluster identification in South Africa using genomic surveillance of Salmonella enterica serovar Typhi

dc.contributor.authorSmith, Anthony Marius
dc.contributor.authorErasmus, Linda Kathleen
dc.contributor.authorTau, Nomsa Pauline
dc.contributor.authorSmouse, Shannon Lucrecia
dc.contributor.authorNgomane, Hlengiwe Mimmy
dc.contributor.authorDisenyeng, Bolele
dc.contributor.authorWhitelaw, Andrew
dc.contributor.authorLawrence, Charlene Ann
dc.contributor.authorSekwadi, Phuti
dc.contributor.authorThomas, Juno
dc.date.accessioned2024-08-23T10:15:18Z
dc.date.available2024-08-23T10:15:18Z
dc.date.issued2023-06-20
dc.descriptionDATA STATEMENT : All supporting data, code and protocols have been provided within the article or through supplementary data files. One supplementary material is available with the online version of this article.en_US
dc.description.abstractThe National Institute for Communicable Diseases in South Africa participates in national laboratory-based surveillance for human isolates of Salmonella species. Laboratory analysis includes whole-genome sequencing (WGS) of isolates. We report on WGS-based surveillance of Salmonella enterica serovar Typhi (Salmonella Typhi) in South Africa from 2020 through 2021. We describe how WGS analysis identified clusters of enteric fever in the Western Cape Province of South Africa and describe the epidemiological investigations associated with these clusters. A total of 206 Salmonella Typhi isolates were received for analysis. Genomic DNA was isolated from bacteria and WGS was performed using Illumina NextSeq technology. WGS data were investigated using multiple bioinformatics tools, including those available at the Centre for Genomic Epidemiology, EnteroBase and Pathogenwatch. Core-genome multilocus sequence typing was used to investigate the phylogeny of isolates and identify clusters. Three major clusters of enteric fever were identified in the Western Cape Province; cluster one (n=11 isolates), cluster two (n=13 isolates), and cluster three (n=14 isolates). To date, no likely source has been identified for any of the clusters. All isolates associated with the clusters, showed the same genotype (4.3.1.1.EA1) and resistome (antimicrobial resistance genes: blaTEM-1B , catA1, sul1, sul2, dfrA7). The implementation of genomic surveillance of Salmonella Typhi in South Africa has enabled rapid detection of clusters indicative of possible outbreaks. Cluster identification allows for targeted epidemiological investigations and a timely, coordinated public health response.en_US
dc.description.departmentMedical Microbiologyen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sponsorshipThe SEQAFRICA project which is funded by the Department of Health and Social Care’s Fleming Fund using UK aid.en_US
dc.description.urihttps://www.microbiologyresearch.org/content/journal/mgenen_US
dc.identifier.citationSmith, A.M., Erasmus, L.K., Tau, N.P. et al. 2023, 'Enteric fever cluster identification in South Africa using genomic surveillance of Salmonella enterica serovar Typhi', Microbial Genomics, vol. 9, art. 001044, pp. 1-9. DOI 10.1099/mgen.0.001044.en_US
dc.identifier.issn2057-5858 (online)
dc.identifier.other10.1099/mgen.0.001044
dc.identifier.urihttp://hdl.handle.net/2263/97837
dc.language.isoenen_US
dc.publisherMicrobiology Societyen_US
dc.rights© 2023 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License.en_US
dc.subjectSalmonella Typhien_US
dc.subjectEnteric feveren_US
dc.subjectGenomicen_US
dc.subjectSurveillanceen_US
dc.subjectClusteren_US
dc.subjectOutbreaken_US
dc.subjectWhole-genome sequencing (WGS)en_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleEnteric fever cluster identification in South Africa using genomic surveillance of Salmonella enterica serovar Typhien_US
dc.typeArticleen_US

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