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Emergence and global spread of epidemic healthcare-associated Clostridium difficile.

TLDR
This analysis identifies key genetic changes linked to the rapid transcontinental dissemination of epidemic C. difficile 027/BI/NAP1 and highlights the routes by which it spreads through the global healthcare system.
Abstract
Epidemic C. difficile (027/BI/NAP1) has rapidly emerged in the past decade as the leading cause of antibiotic-associated diarrhea worldwide. However, the key events in evolutionary history leading to its emergence and the subsequent patterns of global spread remain unknown. Here, we define the global population structure of C. difficile 027/BI/NAP1 using whole-genome sequencing and phylogenetic analysis. We show that two distinct epidemic lineages, FQR1 and FQR2, not one as previously thought, emerged in North America within a relatively short period after acquiring the same fluoroquinolone resistance-conferring mutation and a highly related conjugative transposon. The two epidemic lineages showed distinct patterns of global spread, and the FQR2 lineage spread more widely, leading to healthcare-associated outbreaks in the UK, continental Europe and Australia. Our analysis identifies key genetic changes linked to the rapid transcontinental dissemination of epidemic C. difficile 027/BI/NAP1 and highlights the routes by which it spreads through the global healthcare system.

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Evolution of Protein Molecules

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Clostridium difficile Infection

TL;DR: This article reviews the pathogenesis, epidemiology, diagnosis, and treatment of this nosocomial and potentially fatal infectious diarrhea, as well as the associated risk factors.

Antimicrobials: access and sustainable eff ectiveness 2 Understanding the mechanisms and drivers of antimicrobial resistance

TL;DR: To combat the threat to human health and biosecurity from antimicrobial resistance, an understanding of its mechanisms and drivers is needed, and broad ranging, multidisciplinary research is needed across these five levels.
References
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Journal ArticleDOI

The Sequence Alignment/Map format and SAMtools

TL;DR: SAMtools as discussed by the authors implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments.
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Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

TL;DR: This work has used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches.
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BEAST: Bayesian evolutionary analysis by sampling trees

TL;DR: BEAST is a fast, flexible software architecture for Bayesian analysis of molecular sequences related by an evolutionary tree that provides models for DNA and protein sequence evolution, highly parametric coalescent analysis, relaxed clock phylogenetics, non-contemporaneous sequence data, statistical alignment and a wide range of options for prior distributions.
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jModelTest: Phylogenetic Model Averaging

TL;DR: jModelTest is a new program for the statistical selection of models of nucleotide substitution based on "Phyml" that implements 5 different selection strategies, including "hierarchical and dynamical likelihood ratio tests," the "Akaike information criterion", the "Bayesian information criterion," and a "decision-theoretic performance-based" approach.
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