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

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dc.contributor.author Smith, Anthony Marius
dc.contributor.author Erasmus, Linda Kathleen
dc.contributor.author Tau, Nomsa Pauline
dc.contributor.author Smouse, Shannon Lucrecia
dc.contributor.author Ngomane, Hlengiwe Mimmy
dc.contributor.author Disenyeng, Bolele
dc.contributor.author Whitelaw, Andrew
dc.contributor.author Lawrence, Charlene Ann
dc.contributor.author Sekwadi, Phuti
dc.contributor.author Thomas, Juno
dc.date.accessioned 2024-08-23T10:15:18Z
dc.date.available 2024-08-23T10:15:18Z
dc.date.issued 2023-06-20
dc.description DATA 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.abstract The 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.department Medical Microbiology en_US
dc.description.librarian am2024 en_US
dc.description.sdg SDG-03:Good heatlh and well-being en_US
dc.description.sponsorship The SEQAFRICA project which is funded by the Department of Health and Social Care’s Fleming Fund using UK aid. en_US
dc.description.uri https://www.microbiologyresearch.org/content/journal/mgen en_US
dc.identifier.citation Smith, 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.issn 2057-5858 (online)
dc.identifier.other 10.1099/mgen.0.001044
dc.identifier.uri http://hdl.handle.net/2263/97837
dc.language.iso en en_US
dc.publisher Microbiology Society en_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.subject Salmonella Typhi en_US
dc.subject Enteric fever en_US
dc.subject Genomic en_US
dc.subject Surveillance en_US
dc.subject Cluster en_US
dc.subject Outbreak en_US
dc.subject Whole-genome sequencing (WGS) en_US
dc.subject SDG-03: Good health and well-being en_US
dc.title Enteric fever cluster identification in South Africa using genomic surveillance of Salmonella enterica serovar Typhi en_US
dc.type Article en_US


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