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

Author:

Smith Anthony Marius12ORCID,Erasmus Linda Kathleen1,Tau Nomsa Pauline1,Smouse Shannon Lucrecia1,Ngomane Hlengiwe Mimmy1,Disenyeng Bolele1,Whitelaw Andrew34,Lawrence Charlene Ann5,Sekwadi Phuti1,Thomas Juno1

Affiliation:

1. Centre for Enteric Diseases, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa

2. Department of Medical Microbiology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa

3. National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa

4. Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa

5. Communicable Disease Control, Service Priorities Coordination, Department of Health, Cape Town, South Africa

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: bla TEM-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.

Publisher

Microbiology Society

Subject

General Medicine

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