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

Jane Hawkey, Kalani Paranagama, Kate S. Baker, Rebecca J. Bengtsson, François Xavier Weill, Nicholas R. Thomson, Stephen Baker, Louise Cerdeira, Zamin Iqbal, Martin Hunt, Danielle J. Ingle, Tim Dallman, Claire Jenkins, Deborah A. Williamson, Kathryn E. Holt

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number2684
JournalNature Communications
Volume12
DOIs
Publication statusPublished - 11 May 2021

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