Identifying the effect of patient sharing on between-hospital genetic differentiation of methicillin-resistant Staphylococcus aureus

Abstract 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.

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PID https://www.doi.org/10.6084/m9.figshare.c.3637706
PID https://www.doi.org/10.6084/m9.figshare.c.3637706.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3637706
URL http://dx.doi.org/10.6084/m9.figshare.c.3637706.v1
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Author Hsiao-Han Chang
Author Dordel, Janina
Author Tjibbe Donker
Author Worby, Colin
Author Feil, Edward
Author Hanage, William
Author Bentley, Stephen
Author Huang, Susan
Author Lipsitch, Marc
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Collected From Datacite
Hosted By figshare
Publication Date 2016-01-01
Publisher Figshare
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Language UNKNOWN
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keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::f072b8e0bb7ab8d983417871d70f0265
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Last Updated 19 December 2020, 20:33 (CET)
Created 19 December 2020, 20:33 (CET)