Molecular epidemiology of community-associated methicillin-resistant Staphylococcus aureus in the genomic era: a cross-sectional study

Mattia Prosperi, Nazle Veras, Taj Azarian, Mobeen Rathore, David Nolan, Kenneth Rand, Robert L Cook, Judy Johnson, J Glenn Morris Jr, Marco Salemi, Mattia Prosperi, Nazle Veras, Taj Azarian, Mobeen Rathore, David Nolan, Kenneth Rand, Robert L Cook, Judy Johnson, J Glenn Morris Jr, Marco Salemi

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) is a leading cause of healthcare-associated infections and significant contributor to healthcare cost. Community-associated-MRSA (CA-MRSA) strains have now invaded healthcare settings. A convenience sample of 97 clinical MRSA isolates was obtained from seven hospitals during a one-week period in 2010. We employed a framework integrating Staphylococcus protein A typing and full-genome next-generation sequencing. Single nucleotide polymorphisms were analyzed using phylodynamics. Twenty-six t002, 48 t008, and 23 other strains were identified. Phylodynamic analysis of 30 t008 strains showed ongoing exponential growth of the effective population size the basic reproductive number (R0) ranging from 1.24 to 1.34. No evidence of hospital clusters was identified. The lack of phylogeographic clustering suggests that community introduction is a major contributor to emergence of CA-MRSA strains within hospitals. Phylodynamic analysis provides a powerful framework to investigate MRSA transmission between the community and hospitals, an understanding of which is essential for control.

Conflict of interest statement

MP and MS are partially supported by the NIH/NCRR CTSI award to the University of Florida UL1 RR02989, and by the NIH-NINDS grant R01 NS063897-01A2. MR is supported in part by the UF CTSI under a grant by the NIH/NCRR Clinical and Translational Science Award UL1 RR029890. This study was also supported by seed funding from the University of Florida Emerging Pathogens Institute. The authors report no competing financial interests.

Figures

Figure 1. Distribution of MRSA spa types…
Figure 1. Distribution of MRSA spa types across six different hospitals in Jacksonville (J) and one in Gainesville (G), both in northeast Florida, USA, collected during 2010 (n = 97).
Figure 2. ML phylogenetic analyses of MRSA…
Figure 2. ML phylogenetic analyses of MRSA t008 in northeast Florida by HCF.
Colored tip branches correspond to healthcare facility from which the isolate was obtained. The numbers along the monophyletic branches correspond to bootstrap values (500 replicates). Branch lengths in nucleotide substitutions per site were scaled according to the bar at the bottom of the tree.
Figure 3. Bayesian skyline plots of MRSA…
Figure 3. Bayesian skyline plots of MRSA t008 in Jacksonville.
Non-parametric curves of MRSA effective population size (Ne) over time were estimated by employing a Bayesian framework. Genetic distances were transformed into a timescale of years by enforcing a relaxed molecular clock model. Solid lines indicate median (blue), and 95% upper and lower high posterior density (HPD) estimates of Ne (black).
Figure 4. MRSA t008 phylogeographic patterns in…
Figure 4. MRSA t008 phylogeographic patterns in Jacksonville.
Phylogeographic analysis using a rooted ML genealogy inferred for 26* sequences from Hospitals J.a, J.c, J.d, J.e, and J.f. A. The most parsimonious reconstruction (MPR) of the state of origin for each internal node (ancestral sequence) in the tree is indicated by the color of the subtending branch according to the legend in the figure. Equivocal branches indicate multiple MPRs. *Note: The four G.a sequences were omitted from the ML genealogy. B. Tree length distribution of 10,000 trees obtained by random joining-splitting. The arrow points to the number of observed migrations in the ML tree.

References

    1. Diekema D. J. et al. Survey of infections due to Staphylococcus species: frequency of occurrence and antimicrobial susceptibility of isolates collected in the United States, Canada, Latin America, Europe, and the Western Pacific region for the SENTRY Antimicrobial Surveillanc. Clinical Infectious Diseases 32 Suppl 2, S114–32 (2001).
    1. Klein E., Smith D. L. & Laxminarayan R. Hospitalizations and deaths caused by methicillin-resistant Staphylococcus aureus, United States, 1999–2005. Emerging Infectious Diseases 13, 1840 (2007).
    1. Jarvis W. R., Schlosser J., Chinn R. Y., Tweeten S. & Jackson M. National prevalence of methicillin-resistant Staphylococcus aureus in inpatients at US health care facilities, 2006. American Journal of Infection Control 35, 631–7 (2007).
    1. Klevens R. M. et al. Changes in the epidemiology of methicillin-resistant Staphylococcus aureus in intensive care units in US hospitals, 1992–2003. Clinical Infectious Diseases 42, 389–91 (2006).
    1. Hubben G. et al. Modelling the costs and effects of selective and universal hospital admission screening for methicillin-resistant Staphylococcus aureus. PloS one 6, e14783 (2011).
    1. Centers for Disease Control and Prevention Active Bacterial Core Surveillance (ABCs) Report Emerging Infections Program Network Methicillin-Resistant Staphylococcus aureus, 2008. Program (2008) <> Accessed: November 2012.
    1. Milstein A. Ending extra payment for “never events”--stronger incentives for patients' safety. The New England Journal of Medicine 360, 2388–90 (2009).
    1. DeLeo F. R. & Chambers H. F. Reemergence of antibiotic-resistant Staphylococcus aureus in the genomics era. The Journal of Clinical Investigation 119, 2464 (2009).
    1. Klevens R. M. et al. Invasive methicillin-resistant Staphylococcus aureus infections in the United States. JAMA: the Journal of the American Medical Association 298, 1763–71 (2007).
    1. Otter J. A. & French, G. L. Community-associated methicillin-resistant Staphylococcus aureus strains as a cause of healthcare-associated infection. The Journal of Hospital Infection 79, 189–93 (2011).
    1. David M. Z. & Daum R. S. Community-associated methicillin-resistant Staphylococcus aureus: epidemiology and clinical consequences of an emerging epidemic. Clinical Microbiology Reviews 23, 616–87 (2010).
    1. Deleo F. R., Otto M., Kreiswirth B. N. & Chambers H. F. Community-associated meticillin-resistant Staphylococcus aureus. Lancet 375, 1557–68 (2010).
    1. Otto M. Basis of virulence in community-associated methicillin-resistant Staphylococcus aureus. Annual Review of Microbiology 64, 143–62 (2010).
    1. Li M. et al. Evolution of virulence in epidemic community-associated methicillin-resistant Staphylococcus aureus. Proceedings of the National Academy of Sciences 106, 5883 (2009).
    1. Cheung G. Y. C., Wang R., Khan B. A., Sturdevant, D. E. & Otto, M. Role of the accessory gene regulator agr in community-associated methicillin-resistant Staphylococcus aureus pathogenesis. Infection and Immunity 79, 1927–35 (2011).
    1. Fridkin S. K. et al. Methicillin-resistant Staphylococcus aureus disease in three communities. New England Journal of Medicine 352, 1436–1444 (2005).
    1. Gonzalez B. E. et al. Community-associated strains of methicillin-resistant Staphylococccus aureus as the cause of healthcare-associated infection. Infection Control and Hospital Epidemiology: the official journal of the Society of Hospital Epidemiologists of America 27, 1051–6 (2006).
    1. D'Agata E. M. C., Webb G. F., Horn M. A., Moellering R. C. Jr & Ruan S. Modeling the Invasion of Community-Acquired Methicillin-Resistant Staphylococcus aureus into Hospitals. Clinical Infectious Diseases 48, 274–284 (2009).
    1. Merrer J., Santoli F., Vecchi C. & Tran B. “Colonization pressure” and risk of acquisition of methicillin-resistant Staphylococcus aureus in a medical intensive care unit. Infection control and Hospital Epidemiology 21, 718–723 (2000).
    1. Harmsen D. et al. Typing of methicillin-resistant Staphylococcus aureus in a university hospital setting by using novel software for spa repeat determination and database management. Journal of Clinical Microbiology 41, 5442–5448 (2003).
    1. McDougal L. K. et al. Pulsed-field gel electrophoresis typing of oxacillin-resistant Staphylococcus aureus isolates from the United States: establishing a national database. Journal of Clinical Microbiology 41, 5113–5120 (2003).
    1. Okuma K. et al. Dissemination of new methicillin-resistant Staphylococcus aureus clones in the community. Journal of Clinical Microbiology 40, 4289–4294 (2002).
    1. Maltezou H. C. & Giamarellou H. Community-acquired methicillin-resistant Staphylococcus aureus infections. International Journal of Antimicrobial Agents 27, 87–96 (2006).
    1. Seybold U. et al. Emergence of community-associated methicillin-resistant Staphylococcus aureus USA300 genotype as a major cause of health care-associated blood stream infections. Clinical Infectious Diseases 42, 647–56 (2006).
    1. Patel M. et al. USA300 genotype community-associated methicillin-resistant Staphylococcus aureus as a cause of surgical site infections. Journal of Clinical Microbiology 45, 3431–3 (2007).
    1. Babouee B., Frei R., Schultheiss E., Widmer A. F. & Goldenberger D. Comparison of the DiversiLab repetitive element PCR system with spa typing and pulsed-field gel electrophoresis for clonal characterization of methicillin-resistant Staphylococcus aureus. Journal of Clinical Microbiology 49, 1549–55 (2011).
    1. Grenfell B. T. et al. Unifying the epidemiological and evolutionary dynamics of pathogens. Science 303, 327–32 (2004).
    1. Gilbert M. T. P. et al. The emergence of HIV/AIDS in the Americas and beyond. Proceedings of the National Academy of Sciences of the United States of America 104, 18566–70 (2007).
    1. Gray R., Tatem A., Lamers S. & Hou W. Spatial phylodynamics of HIV-1 epidemic emergence in east Africa. AIDS 23, 1–14 (2009).
    1. Hué S., Pillay D., Clewley J. P. & Pybus O. G. Genetic analysis reveals the complex structure of HIV-1 transmission within defined risk groups. Proceedings of the National Academy of Sciences of the United States of America 102, 4425–9 (2005).
    1. Salemi M. et al. Different epidemic potentials of the HIV-1B and C subtypes. Journal of Molecular Evolution 60, 598–605 (2005).
    1. Gray R. R. et al. Testing spatiotemporal hypothesis of bacterial evolution using methicillin-resistant Staphylococcus aureus ST239 genome-wide data within a bayesian framework. Molecular Biology and Evolution 28, 1593–603 (2011).
    1. Harris S. R. et al. Evolution of MRSA during hospital transmission and intercontinental spread. Science 327, 469–74 (2010).
    1. Köser C. U. et al. Rapid whole-genome sequencing for investigation of a neonatal MRSA outbreak. The New England Journal of Medicine 366, 2267–75 (2012).
    1. Mwangi M. M. et al. Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole-genome sequencing. Proceedings of the National Academy of Sciences of the United States of America 104, 9451–6 (2007).
    1. Nübel U. et al. A timescale for evolution, population expansion, and spatial spread of an emerging clone of methicillin-resistant Staphylococcus aureus. PLoS Pathogens 6, e1000855 (2010).
    1. Harris S. R. et al. Evolution of MRSA during hospital transmission and intercontinental spread. Science 327, 469–74 (2010).
    1. Köser C. U. et al. Rapid whole-genome sequencing for investigation of a neonatal MRSA outbreak. The New England Journal of Medicine 366, 2267–75 (2012).
    1. Fitzgerald J. R., Sturdevant D. E., Mackie S. M., Gill S. R. & Musser J. M. Evolutionary genomics of Staphylococcus aureus: insights into the origin of methicillin-resistant strains and the toxic shock syndrome epidemic. Proceedings of the National Academy of Sciences of the United States of America 98, 8821–6 (2001).
    1. Holden M. T. G. et al. Complete genomes of two clinical Staphylococcus aureus strains: evidence for the rapid evolution of virulence and drug resistance. Proceedings of the National Academy of Sciences of the United States of America 101, 9786–91 (2004).
    1. Salemi M., De Oliveira T., Ciccozzi M., Rezza G. & Goodenow M. M. High-resolution molecular epidemiology and evolutionary history of HIV-1 subtypes in Albania. PloS one 3, e1390 (2008).
    1. Bootsma M. C. J., Diekmann O. & Bonten M. J. M. Controlling methicillin-resistant Staphylococcus aureus: Quantifying the effects of interventions. PNAS 103, 5620–5625 (2006).
    1. Scanvic A. et al. Duration of colonization by methicillin-resistant Staphylococcus aureus after hospital discharge and risk factors for prolonged carriage. Clinical Infectious Diseases 32, 1393–8 (2001).
    1. Pybus O. G. et al. The epidemic behavior of the hepatitis C virus. Science (New York, N.Y.) 292, 2323–5 (2001).
    1. Price J. R., Didelot X., Crook D. W., Llewelyn M. J. & Paul J. Whole genome sequencing in the prevention and control of Staphylococcus aureus infection. The Journal of Hospital Infection 83, 14–21 (2012).
    1. Harris S. R. et al. Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study. The Lancet Infectious Diseases 3099, 1–7 (2012).
    1. Kingman J. F. C. The coalescent. Stochastic Processes and their Applications 13, 235–248 (1982).
    1. Kajita E., Okano J. T., Bodine E. N., Layne S. P. & Blower S. Modelling an outbreak of an emerging pathogen. Nature reviews Microbiology 5, 700–9 (2007).
    1. Magill S. S. et al. Prevalence of Healthcare-Associated Infections in Acute Care Hospitals in Jacksonville, Florida. Infection Control and Hospital Epidemiology (2012).
    1. Haley R. W. et al. Nosocomial infections in U.S. hospitals, 1975-1976: estimated frequency by selected characteristics of patients. The American Journal of Medicine 70, 947–59 (1981).
    1. Kallen A., Mu Y. & Bulens S. Health Care–Associated Invasive MRSA Infections, 2005-2008. JAMA: the Journal of the American Medical Association 304, 641–648 (2010).
    1. Pybus O. G., Rambaut A. & Harvey P. H. An integrated framework for the inference of viral population history from reconstructed genealogies. Genetics 155, 1429–37 (2000).
    1. Drummond A. J., Rambaut A., Shapiro B. & Pybus O. G. Bayesian coalescent inference of past population dynamics from molecular sequences. Molecular Biology and Evolution 22, 1185–92 (2005).
    1. Harmsen D. et al. Typing of methicillin-resistant Staphylococcus aureus in a university hospital setting by using novel software for spa repeat determination and database management. Journal of Clinical Microbiology 41, 5442–5448 (2003).
    1. Li H. & Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics (Oxford, England) 25, 1754–60 (2009).
    1. Li H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics (Oxford, England) 25, 2078–9 (2009).
    1. Darling A. E., Mau B. & Perna N. T. progressiveMauve: multiple genome alignment with gene gain, loss and rearrangement. PloS one 5, e11147 (2010).
    1. Strimmer K. & Von Haeseler A. Likelihood-mapping: a simple method to visualize phylogenetic content of a sequence alignment. Proceedings of the National Academy of Sciences 94, 6815 (1997).
    1. Xia X., Xie Z., Salemi M., Chen L. & Wang Y. An index of substitution saturation and its application. Molecular Phylogenetics and Evolution 26, 1–7 (2003).
    1. Huson D. H. & Bryant D. Application of phylogenetic networks in evolutionary studies. Molecular Biology and Evolution 23, 254–67 (2006).
    1. Tamura K. et al. MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Molecular Biology and Evolution 28, 2731–2739 (2011).
    1. Switzer W. M. et al. Ancient co-speciation of simian foamy viruses and primates. Nature 434, 376–380 (2005).
    1. Drummond A. J., Suchard M. A., Xie D. & Rambaut A. Bayesian phylogenetics with BEAUti and the BEAST 1.7. Molecular Biology and Evolution 1–5 (2012).
    1. Kass R. Bayes factors. Journal of the American StatisticalAssociation 90, 773–795 (1995).
    1. Suchard M. A., Weiss R. E. & Sinsheimer J. S. Bayesian selection of continuous-time Markov chain evolutionary models. Molecular Biology and Evolution 18, 1001–13 (2001).

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