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Global population structure and genotyping framework for genomic surveillance of the major dysentery pathogen, Shigella sonnei

Published version
Peer-reviewed

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Authors

Paranagama, Kalani 
Baker, Kate S. 
Bengtsson, Rebecca J. 
Weill, François-Xavier  ORCID logo  https://orcid.org/0000-0001-9941-5799

Abstract

Abstract: Shigella sonnei is the most common agent of shigellosis in high-income countries, and causes a significant disease burden in low- and middle-income countries. Antimicrobial resistance is increasingly common in all settings. Whole genome sequencing (WGS) is increasingly utilised for S. sonnei outbreak investigation and surveillance, but comparison of data between studies and labs is challenging. Here, we present a genomic framework and genotyping scheme for S. sonnei to efficiently identify genotype and resistance determinants from WGS data. The scheme is implemented in the software package Mykrobe and tested on thousands of genomes. Applying this approach to analyse >4,000 S. sonnei isolates sequenced in public health labs in three countries identified several common genotypes associated with increased rates of ciprofloxacin resistance and azithromycin resistance, confirming intercontinental spread of highly-resistant S. sonnei clones and demonstrating the genomic framework can facilitate monitoring the spread of resistant clones, including those that have recently emerged, at local and global scales.

Description

Funder: KEH is supported by a Senior Medical Research Fellowship from the Viertel Foundation of Australia RJB through a UKRI MRC New Investigator Research Grant (held by KSB, MR/R020787/1)

Keywords

Article, /631/114/1386, /631/181/757, /631/326/325/2482, /692/308/174, /45/23, article

Journal Title

Nature Communications

Conference Name

Journal ISSN

2041-1723

Volume Title

12

Publisher

Nature Publishing Group UK
Sponsorship
Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) (OPP1175797)
Department of Health | National Health and Medical Research Council (NHMRC) (APP1174555)