2014
DOI: 10.1101/gr.174730.114
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Genome sequencing defines phylogeny and spread of methicillin-resistant Staphylococcus aureus in a high transmission setting

Abstract: Methicillin-resistant Staphylococcus aureus (MRSA) is a major cause of nosocomial infection. Whole-genome sequencing of MRSA has been used to define phylogeny and transmission in well-resourced healthcare settings, yet the greatest burden of nosocomial infection occurs in resource-restricted settings where barriers to transmission are lower. Here, we study the flux and genetic diversity of MRSA on ward and individual patient levels in a hospital where transmission was common. We repeatedly screened all patient… Show more

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Cited by 95 publications
(89 citation statements)
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“…However, it obviously belonged to the outbreak, suggesting that an LA-MRSA strain colonizing or infecting different sites within the same person may evolve independently over time. Recent reports that applied whole-genome sequencing on multiple colonies from the same person also identified a cloud of diversity among the isolates (21,34,35). These studies were carried out on ST22 and ST239 MRSA isolates, but similar findings might be expected from LA-MRSA.…”
Section: Discussionmentioning
confidence: 68%
“…However, it obviously belonged to the outbreak, suggesting that an LA-MRSA strain colonizing or infecting different sites within the same person may evolve independently over time. Recent reports that applied whole-genome sequencing on multiple colonies from the same person also identified a cloud of diversity among the isolates (21,34,35). These studies were carried out on ST22 and ST239 MRSA isolates, but similar findings might be expected from LA-MRSA.…”
Section: Discussionmentioning
confidence: 68%
“…We postulate that the existence of a significant cloud of diversity (4, 12) may be a marker of long-term carriage. Therefore, in outbreaks, higher diversity may indicate the involvement of an LTC, with outbreak diversity reflecting the donor cloud.…”
Section: Discussionmentioning
confidence: 96%
“…Also, WGS and downstream applications are increasingly being applied to pathotype microorganisms, to provide a view on the epidemiology, phylogeny and microevolution of bacterial pathogens; including MRSA (Fitzgerald, 2012; Price et al, 2012; Tong et al, 2015). Advances in comparative genomics, using WGS, allows for a more rapid and accurate method to determine phylogenetic relationships between groups of isolates compared to more traditional typing and screening methods such as MLST and DNA microarray.…”
Section: Discussionmentioning
confidence: 99%