Identifying the effect of patient sharing on between-hospital genetic differentiation of methicillin-resistant Staphylococcus aureus
Author(s) -
HsiaoHan Chang,
Janina Dordel,
Tjibbe Donker,
Colin J. Worby,
Edward J. Feil,
William P. Hanage,
Stephen D. Bentley,
Susan S. Huang,
Marc Lipsitch
Publication year - 2016
Publication title -
genome medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.564
H-Index - 89
ISSN - 1756-994X
DOI - 10.1186/s13073-016-0274-3
Subject(s) - genetic diversity , population , staphylococcus aureus , transmission (telecommunications) , methicillin resistant staphylococcus aureus , whole genome sequencing , medicine , multilocus sequence typing , biology , genome , genetics , gene , genotype , environmental health , bacteria , electrical engineering , engineering
Background Methicillin-resistant Staphylococcus aureus (MRSA) is one of the most common healthcare-associated pathogens. To examine the role of inter-hospital patient sharing on MRSA transmission, a previous study collected 2,214 samples from 30 hospitals in Orange County, California and showed by spa typing that genetic differentiation decreased significantly with increased patient sharing. In the current study, we focused on the 986 samples with spa type t008 from the same population. Methods We used genome sequencing to determine the effect of patient sharing on genetic differentiation between hospitals. Genetic differentiation was measured by between-hospital genetic diversity, F ST , and the proportion of nearly identical isolates between hospitals. Results Surprisingly, we found very similar genetic diversity within and between hospitals, and no significant association between patient sharing and genetic differentiation measured by F ST . However, in contrast to F ST , there was a significant association between patient sharing and the proportion of nearly identical isolates between hospitals. We propose that the proportion of nearly identical isolates is more powerful at determining transmission dynamics than traditional estimators of genetic differentiation ( F ST ) when gene flow between populations is high, since it is more responsive to recent transmission events. Our hypothesis was supported by the results from coalescent simulations. Conclusions Our results suggested that there was a high level of gene flow between hospitals facilitated by patient sharing, and that the proportion of nearly identical isolates is more sensitive to population structure than F ST when gene flow is high. Electronic supplementary material The online version of this article (doi:10.1186/s13073-016-0274-3) contains supplementary material, which is available to authorized users.
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