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A genomic portrait of the emergence, evolution, and global spread of a methicillin-resistant Staphylococcus aureus pandemic

TLDR
The genetic changes associated with adaptation to the hospital environment and with increasing drug resistance over time are document, and how MRSA evolution likely has been influenced by country-specific drug use regimens are documented.
Abstract
The widespread use of antibiotics in association with high-density clinical care has driven the emergence of drug-resistant bacteria that are adapted to thrive in hospitalized patients. Of particular concern are globally disseminated methicillin-resistant Staphylococcus aureus (MRSA) clones that cause outbreaks and epidemics associated with health care. The most rapidly spreading and tenacious health-care-associated clone in Europe currently is EMRSA-15, which was first detected in the UK in the early 1990s and subsequently spread throughout Europe and beyond. Using phylogenomic methods to analyze the genome sequences for 193 S. aureus isolates, we were able to show that the current pandemic population of EMRSA-15 descends from a health-care-associated MRSA epidemic that spread throughout England in the 1980s, which had itself previously emerged from a primarily community-associated methicillin-sensitive population. The emergence of fluoroquinolone resistance in this EMRSA-15 subclone in the English Midlands during the mid-1980s appears to have played a key role in triggering pandemic spread, and occurred shortly after the first clinical trials of this drug. Genome-based coalescence analysis estimated that the population of this subclone over the last 20 yr has grown four times faster than its progenitor. Using comparative genomic analysis we identified the molecular genetic basis of 99.8% of the antimicrobial resistance phenotypes of the isolates, highlighting the potential of pathogen genome sequencing as a diagnostic tool. We document the genetic changes associated with adaptation to the hospital environment and with increasing drug resistance over time, and how MRSA evolution likely has been influenced by country-specific drug use regimens.

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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.
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Methicillin-resistant Staphylococcus aureus: an overview of basic and clinical research.

TL;DR: An overview of basic and clinical MRSA research is provided and the expansive body of literature on the epidemiology, transmission, genetic diversity, evolution, surveillance and treatment of MRSA is explored.
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SRST2: Rapid genomic surveillance for public health and hospital microbiology labs

TL;DR: This work presents SRST2, a read mapping-based tool for fast and accurate detection of genes, alleles and multi-locus sequence types (MLST) from WGS data, which is highly accurate and outperforms assembly-based methods in terms of both gene detection and allele assignment.
References
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Journal ArticleDOI

Basic Local Alignment Search Tool

TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
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Velvet: Algorithms for de novo short read assembly using de Bruijn graphs

TL;DR: Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies and is in close agreement with simulated results without read-pair information.
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Bayesian Phylogenetics with BEAUti and the BEAST 1.7

TL;DR: The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7 is presented, which implements a family of Markov chain Monte Carlo algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses.
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Dating of the human-ape splitting by a molecular clock of mitochondrial DNA.

TL;DR: A new statistical method for estimating divergence dates of species from DNA sequence data by a molecular clock approach is developed, and this dating may pose a problem for the widely believed hypothesis that the bipedal creatureAustralopithecus afarensis, which lived some 3.7 million years ago, was ancestral to man and evolved after the human-ape splitting.
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Prodigal: prokaryotic gene recognition and translation initiation site identification

TL;DR: This work developed a new gene prediction algorithm called Prodigal (PROkaryotic DYnamic programming Gene-finding ALgorithm), which achieved good results compared to existing methods, and it is believed it will be a valuable asset to automated microbial annotation pipelines.
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