Longitudinal genomic surveillance of MRSA in the UK reveals transmission patterns in hospitals and the community

Longitudinal genomic and epidemiological surveillance of methicillin-resistant Staphylococcus aureus in the UK reveals extensive transmission in hospitals and the community. On the trail of MRSA Genome sequencing of methicillin-resistant Staphylococcus aureus (MRSA) has been successfully applied to investigate suspected outbreaks. Coll et al. now extend its application to the genomic surveillance of MRSA in samples from 1465 people identified over a 12-month period by a diagnostic laboratory in the East of England. This analysis identified 173 putative outbreaks involving 598 patients and included hospital outbreaks, those spanning the hospital and community, and community outbreaks among people registered with the same medical practice or living in the same household or long-term care facility. This study illustrates that sequencing is a powerful tool that could be used to identify infectious disease outbreaks as they happen. Genome sequencing has provided snapshots of the transmission of methicillin-resistant Staphylococcus aureus (MRSA) during suspected outbreaks in isolated hospital wards. Scale-up to populations is now required to establish the full potential of this technology for surveillance. We prospectively identified all individuals over a 12-month period who had at least one MRSA-positive sample processed by a routine diagnostic microbiology laboratory in the East of England, which received samples from three hospitals and 75 general practitioner (GP) practices. We sequenced at least 1 MRSA isolate from 1465 individuals (2282 MRSA isolates) and recorded epidemiological data. An integrated epidemiological and phylogenetic analysis revealed 173 transmission clusters containing between 2 and 44 cases and involving 598 people (40.8%). Of these, 118 clusters (371 people) involved hospital contacts alone, 27 clusters (72 people) involved community contacts alone, and 28 clusters (157 people) had both types of contact. Community- and hospital-associated MRSA lineages were equally capable of transmission in the community, with instances of spread in households, long-term care facilities, and GP practices. Our study provides a comprehensive picture of MRSA transmission in a sampled population of 1465 people and suggests the need to review existing infection control policy and practice.

[1]  Julian Parkhill,et al.  Rapid whole-genome sequencing for investigation of a neonatal MRSA outbreak. , 2012, The New England journal of medicine.

[2]  J. Parkhill,et al.  Systematic Surveillance Detects Multiple Silent Introductions and Household Transmission of Methicillin-Resistant Staphylococcus aureus USA300 in the East of England , 2016, The Journal of infectious diseases.

[3]  Randall J. Olsen,et al.  Absence of Patient-to-Patient Intrahospital Transmission of Staphylococcus aureus as Determined by Whole-Genome Sequencing , 2014, mBio.

[4]  Michael Kube,et al.  MRSA Transmission on a Neonatal Intensive Care Unit: Epidemiological and Genome-Based Phylogenetic Analyses , 2013, PloS one.

[5]  Daniel J. Wilson,et al.  Whole-Genome Sequencing Shows That Patient-to-Patient Transmission Rarely Accounts for Acquisition of Staphylococcus aureus in an Intensive Care Unit , 2013, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[6]  A. Conde Staphylococcus aureus infections. , 1998, The New England journal of medicine.

[7]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[8]  L. Price,et al.  Origin and Evolution of European Community-Acquired Methicillin-Resistant Staphylococcus aureus , 2014, mBio.

[9]  Richard G. Everitt,et al.  Within-Host Evolution of Staphylococcus aureus during Asymptomatic Carriage , 2013, PloS one.

[10]  M. Ward,et al.  Identification of source and sink populations for the emergence and global spread of the East-Asia clone of community-associated MRSA , 2016, Genome Biology.

[11]  O. Diekmann,et al.  Controlling methicillin-resistant Staphylococcus aureus: quantifying the effects of interventions and rapid diagnostic testing. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Maurizio Zazzi,et al.  A novel methodology for large-scale phylogeny partition , 2011, Nature communications.

[13]  Cole Trapnell,et al.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome , 2009, Genome Biology.

[14]  Richard Durbin,et al.  Fast and accurate long-read alignment with Burrows–Wheeler transform , 2010, Bioinform..

[15]  F. Lowy,et al.  Staphylococcus aureus infections: transmission within households and the community. , 2015, Trends in microbiology.

[16]  C. Fraser,et al.  Genome sequencing defines phylogeny and spread of methicillin-resistant Staphylococcus aureus in a high transmission setting , 2015, Genome research.

[17]  P. Marik,et al.  A Descriptive Study , 2015 .

[18]  K. Ho,et al.  A comparison of long-term outcomes after meticillin-resistant and meticillin-sensitive Staphylococcus aureus bacteraemia: an observational cohort study. , 2014, The Lancet. Infectious diseases.

[19]  O. Stine,et al.  Transmission Clusters of Methicillin-Resistant Staphylococcus Aureus in Long-Term Care Facilities Based on Whole-Genome Sequencing , 2016, Infection Control & Hospital Epidemiology.

[20]  Julian Parkhill,et al.  Capturing the cloud of diversity reveals complexity and heterogeneity of MRSA carriage, infection and transmission , 2015, Nature Communications.

[21]  Walter Pirovano,et al.  BIOINFORMATICS APPLICATIONS , 2022 .

[22]  W. Pirovano,et al.  Toward almost closed genomes with GapFiller , 2012, Genome Biology.

[23]  J. Parkhill,et al.  Building a genomic framework for prospective MRSA surveillance in the United Kingdom and the Republic of Ireland , 2016, Genome research.

[24]  Julian Parkhill,et al.  Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study , 2013, The Lancet. Infectious Diseases.

[25]  Gonçalo R. Abecasis,et al.  The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..

[26]  E. Birney,et al.  Velvet: algorithms for de novo short read assembly using de Bruijn graphs. , 2008, Genome research.

[27]  Alexandros Stamatakis,et al.  RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies , 2014, Bioinform..

[28]  Harry A. Thorpe,et al.  The Stealthy Superbug: the Role of Asymptomatic Enteric Carriage in Maintaining a Long-Term Hospital Outbreak of ST228 Methicillin-Resistant Staphylococcus aureus , 2016, mBio.