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dc.contributor.authorAanensen, David M.
dc.contributor.authorFeil, Edward J.
dc.contributor.authorHolden, Matthew T. G.
dc.contributor.authorDordel, Janina
dc.contributor.authorYeats, Corin A.
dc.contributor.authorFedosejev, Artemij
dc.contributor.authorGoater, Richard
dc.contributor.authorCastillo-Ramírez, Santiago
dc.contributor.authorCorander, Jukka
dc.contributor.authorColijn, Caroline
dc.contributor.authorChlebowicz, Monika A.
dc.contributor.authorSchouls, Leo
dc.contributor.authorHeck, Max
dc.contributor.authorPluister, Gerlinde
dc.contributor.authorRuimy, Raymond
dc.contributor.authorKahlmeter, Gunnar
dc.contributor.authorÅhman, Jenny
dc.contributor.authorMatuschek, Erika
dc.contributor.authorFriedrich, Alexander W.
dc.contributor.authorParkhill, Julian
dc.contributor.authorBentley, Stephen D.
dc.contributor.authorSpratt, Brian G.
dc.contributor.authorGrundmann, Hajo
dc.contributor.authorESCMID study group on Molecular Epidemiological Markers (ESGEM)
dc.contributor.authorEuropean Staphylococcal Reference Laboratory Working Group
dc.date.accessioned2016-05-09T11:30:08Z
dc.date.available2016-05-09T11:30:08Z
dc.date.issued2016-05-05
dc.identifier.citationAanensen , D M , Feil , E J , Holden , M T G , Dordel , J , Yeats , C A , Fedosejev , A , Goater , R , Castillo-Ramírez , S , Corander , J , Colijn , C , Chlebowicz , M A , Schouls , L , Heck , M , Pluister , G , Ruimy , R , Kahlmeter , G , Åhman , J , Matuschek , E , Friedrich , A W , Parkhill , J , Bentley , S D , Spratt , B G , Grundmann , H , ESCMID study group on Molecular Epidemiological Markers (ESGEM) & European Staphylococcal Reference Laboratory Working Group 2016 , ' Whole-genome sequencing for routine pathogen surveillance in public health : a population snapshot of invasive Staphylococcus aureus in Europe ' , mBio , vol. 7 , no. 3 , e00444-16 , pp. 1-15 . https://doi.org/10.1128/mBio.00444-16en
dc.identifier.issn2150-7511
dc.identifier.otherPURE: 242456099
dc.identifier.otherPURE UUID: 28d59674-5314-49c5-b9a3-dd7bfc116742
dc.identifier.otherPubMed: 27150362
dc.identifier.otherScopus: 84978959412
dc.identifier.otherORCID: /0000-0002-4958-2166/work/60196389
dc.identifier.otherWOS: 000383440300020
dc.identifier.urihttps://hdl.handle.net/10023/8759
dc.descriptionThis work, including the efforts of Matthew Holden, Janina Dordel, Julian Parkhill, and Stephen Bentley, was funded by Wellcome Trust (098051). This work, including the efforts of David M. Aanensen, Corin Yeats, and Artemij Fedosejev, was funded by Wellcome Trust (099202). This work, including the efforts of Brian Spratt, was funded by Wellcome Trust (089472). This work, including the efforts of Santiago Castillo-Ramírez, was funded by Medical Research Council (MRC) (G1000803).en
dc.description.abstractThe implementation of routine whole-genome sequencing (WGS) promises to transform our ability to monitor the emergence and spread of bacterial pathogens. Here we combined WGS data from 308 invasive Staphylococcus aureus isolates corresponding to a pan-European population snapshot, with epidemiological and resistance data. Geospatial visualization of the data is made possible by a generic software tool designed for public health purposes that is available at the project URL (http://www.microreact.org/project/EkUvg9uY?tt=rc). Our analysis demonstrates that high-risk clones can be identified on the basis of population level properties such as clonal relatedness, abundance, and spatial structuring and by inferring virulence and resistance properties on the basis of gene content. We also show that in silico predictions of antibiotic resistance profiles are at least as reliable as phenotypic testing. We argue that this work provides a comprehensive road map illustrating the three vital components for future molecular epidemiological surveillance: (i) large-scale structured surveys, (ii) WGS, and (iii) community-oriented database infrastructure and analysis tools. IMPORTANCE: The spread of antibiotic-resistant bacteria is a public health emergency of global concern, threatening medical intervention at every level of health care delivery. Several recent studies have demonstrated the promise of routine whole-genome sequencing (WGS) of bacterial pathogens for epidemiological surveillance, outbreak detection, and infection control. However, as this technology becomes more widely adopted, the key challenges of generating representative national and international data sets and the development of bioinformatic tools to manage and interpret the data become increasingly pertinent. This study provides a road map for the integration of WGS data into routine pathogen surveillance. We emphasize the importance of large-scale routine surveys to provide the population context for more targeted or localized investigation and the development of open-access bioinformatic tools to provide the means to combine and compare independently generated data with publicly available data sets.
dc.format.extent15
dc.language.isoeng
dc.relation.ispartofmBioen
dc.rightsCopyright © 2016 Aanensen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectNDASen
dc.subjectBDCen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccRA0421en
dc.titleWhole-genome sequencing for routine pathogen surveillance in public health : a population snapshot of invasive Staphylococcus aureus in Europeen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Infection Groupen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.identifier.doihttps://doi.org/10.1128/mBio.00444-16
dc.description.statusPeer revieweden


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