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Peer reviewedOpen accessDysentery

Horizontal antimicrobial resistance transfer drives epidemics of multiple Shigella species

Nature Communications·

Kate S. Baker, Timothy J. Dallman, Nigel Field, Tristan Childs, Holly Mitchell, Martin Day, François-Xavier Weill, Sophie Lefèvre, Mathieu Tourdjman, Gwenda Hughes, Claire Jenkins, Nicholas Thomson

DOI
10.1038/s41467-018-03949-8
PMID
29654279
PMCID
PMC5899146
OpenAlex
W2797381074
Study type
Genomic study
Publisher
Springer Science and Business Media LLC
Article type
journal-article
Integrity
current

Why this research matters now

The work underscores the necessity of incorporating genetic sequencing tools across all phases of resistance tracking and control strategies.

01

Structured evidence summary

Research question

The investigation seeks to understand how antimicrobial resistance emerges and spreads within bacterial populations by examining concurrent outbreak patterns.

Study design

Researchers conducted a genomic epidemiology analysis focusing on parallel outbreak events.

Population and setting

The analysis focused on infection clusters occurring among men who have sex with men.

Main findings

Repeated exchange of a specific resistance plasmid accelerated ongoing outbreaks and triggered new ones. In contrast, infections linked to chromosomally inherited resistance markers showed more gradual growth. These results indicate that plasmid-mediated gene exchange significantly shapes outbreak trajectories for key resistant bacteria.

Public-health relevance

The work underscores the necessity of incorporating genetic sequencing tools across all phases of resistance tracking and control strategies.

Important limitations

The provided summary relies exclusively on the supplied single-article abstract and metadata, requiring access to the full manuscript for comprehensive evaluation and decision-grade interpretation.

GIDS interpretation

This publication addresses themes related to antimicrobial resistance and genomic epidemiology, which may aid in literature discovery and contextual mapping. It does not establish connections to any active monitoring networks or real-time data feeds.

02

Related GIDS surveillance

Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.

03

Evidence relationships

This article has 8 auditable classifier relationships to diseases, places, topics, and study design.

about diseaseaddresses topicaddresses topicaddresses topichas pathogen typestudied population settingstudies populationuses study design