Characterization of Salmonella enterica serovar Isangi from South Africa, 2020–2021
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Date
Authors
Myataza, Asive
Thomas, Juno
Smith, Anthony Marius
Journal Title
Journal ISSN
Volume Title
Publisher
BMC
Abstract
BACKGROUND : We describe the genotypic characteristics and antimicrobial resistance (AMR) determinants of Salmonella
enterica serovar Isangi (Salmonella Isangi) clinical isolates in South Africa from 2020 through 2021.
METHODS : During the years 2020 to 2021, the Centre for Enteric Diseases of the National Institute for Communicable
Diseases, a national reference centre in South Africa for human infections resulting from enteric bacterial pathogens,
investigated a total of 3549 clinical isolates of Salmonella species. Whole genome sequencing (WGS) was performed
using Illumina NextSeq Technology. WGS data was analyzed using Centre for Genomic Epidemiology-based tools
and EnteroBase web-based platform. Genotypic relatedness and cluster analysis was investigated based on coregenome
multilocus sequence typing.
RESULTS : Forty-nine isolates were confirmed to be Salmonella Isangi, with most submitted from Gauteng Province
(24/49, 49%). The most prevalent sequence type was ST335 (48/49, 98%), and the remaining 1 isolate was ST216. All
ST335 isolates were genotypically multidrug-resistant (MDR), with resistance to fluoroquinolones, chloramphenicol,
trimethoprim-sulfamethoxazole and tetracycline; the ST216 isolate was resistant only to aminoglycosides. All ST335
isolates carried ESBL genes, the most common being blaCTX-M-15. Five clusters (consisting of isolates related within five
allele differences) were detected, all being ST335.
CONCLUSIONS : Most Salmonella Isangi isolates in South Africa are MDR and ESBL-positive. Ongoing monitoring
of the epidemiology and AMR profile of this serovar is important for public health and treatment guidelines.
Description
AVAILABILITY OF DATA AND MATERIALS : All sequencing data were uploaded to the public EnteroBase platform (http://
enter obase. warwi ck. ac. uk/ speci es/ index/ sente rica) and so are freely available
to access at the EnteroBase platform. In addition, sequencing data are deposited
in the European Nucleotide Archive under the project accession numbers
PRJEB39546 and PRJEB39988.
SUPPLEMENTARY INFORMATION : Map of South Africa, showing the different provinces of the country. Provinces (regions) are indicated in different colors.
SUPPLEMENTARY INFORMATION : Map of South Africa, showing the different provinces of the country. Provinces (regions) are indicated in different colors.
Keywords
Africa, South Africa (SA), Antimicrobial resistance (AMR), Salmonella enterica serovar Isangi (Salmonella Isangi), Whole genome sequencing (WGS), SDG-03: Good health and well-being, Extended-spectrum β-lactamase (ESBL)
Sustainable Development Goals
SDG-03:Good heatlh and well-being
Citation
Myataza, A., Thomas, J., Smith, A.M. 2023, 'Characterization of salmonella enterica serovar Isangi from South Africa, 2020–2021', BMC Infectious Diseases, vol. 23, art. 791, pp. 1-6. https://DOI.org/10.1186/s12879-023-08786-9.