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      Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis

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          Abstract

          Some of the most common infectious diseases are caused by bacteria that naturally colonise humans asymptomatically. Combating these opportunistic pathogens requires an understanding of the traits that differentiate infecting strains from harmless relatives. Staphylococcus epidermidis is carried asymptomatically on the skin and mucous membranes of virtually all humans but is a major cause of nosocomial infection associated with invasive procedures. Here we address the underlying evolutionary mechanisms of opportunistic pathogenicity by combining pangenome-wide association studies and laboratory microbiology to compare S. epidermidis from bloodstream and wound infections and asymptomatic carriage. We identify 61 genes containing infection-associated genetic elements (k-mers) that correlate with in vitro variation in known pathogenicity traits (biofilm formation, cell toxicity, interleukin-8 production, methicillin resistance). Horizontal gene transfer spreads these elements, allowing divergent clones to cause infection. Finally, Random Forest model prediction of disease status (carriage vs. infection) identifies pathogenicity elements in 415  S. epidermidis isolates with 80% accuracy, demonstrating the potential for identifying risk genotypes pre-operatively.

          Abstract

          Staphylococcus epidermidis is carried asymptomatically by virtually all humans but is also a major cause of nosocomial infection. Here, the authors study 141 isolates from healthy carriage and 274 isolates from clinical infections, and identify genes and genetic elements associated with pathogenicity.

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          Most cited references53

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          Waves of resistance: Staphylococcus aureus in the antibiotic era.

          Staphylococcus aureus is notorious for its ability to become resistant to antibiotics. Infections that are caused by antibiotic-resistant strains often occur in epidemic waves that are initiated by one or a few successful clones. Methicillin-resistant S. aureus (MRSA) features prominently in these epidemics. Historically associated with hospitals and other health care settings, MRSA has now emerged as a widespread cause of community infections. Community or community-associated MRSA (CA-MRSA) can spread rapidly among healthy individuals. Outbreaks of CA-MRSA infections have been reported worldwide, and CA-MRSA strains are now epidemic in the United States. Here, we review the molecular epidemiology of the epidemic waves of penicillin- and methicillin-resistant strains of S. aureus that have occurred since 1940, with a focus on the clinical and molecular epidemiology of CA-MRSA.
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            Coagulase-negative staphylococci.

            The definition of the heterogeneous group of coagulase-negative staphylococci (CoNS) is still based on diagnostic procedures that fulfill the clinical need to differentiate between Staphylococcus aureus and those staphylococci classified historically as being less or nonpathogenic. Due to patient- and procedure-related changes, CoNS now represent one of the major nosocomial pathogens, with S. epidermidis and S. haemolyticus being the most significant species. They account substantially for foreign body-related infections and infections in preterm newborns. While S. saprophyticus has been associated with acute urethritis, S. lugdunensis has a unique status, in some aspects resembling S. aureus in causing infectious endocarditis. In addition to CoNS found as food-associated saprophytes, many other CoNS species colonize the skin and mucous membranes of humans and animals and are less frequently involved in clinically manifested infections. This blurred gradation in terms of pathogenicity is reflected by species- and strain-specific virulence factors and the development of different host-defending strategies. Clearly, CoNS possess fewer virulence properties than S. aureus, with a respectively different disease spectrum. In this regard, host susceptibility is much more important. Therapeutically, CoNS are challenging due to the large proportion of methicillin-resistant strains and increasing numbers of isolates with less susceptibility to glycopeptides.
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              ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

              Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/.
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                Author and article information

                Contributors
                +44(0)1225-385046 , s.k.sheppard@bath.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                28 November 2018
                28 November 2018
                2018
                : 9
                : 5034
                Affiliations
                [1 ]ISNI 0000 0001 2162 1699, GRID grid.7340.0, The Milner Centre for Evolution, , University of Bath, ; Claverton Down Bath, BA2 7AY UK
                [2 ]ISNI 0000 0001 0658 8800, GRID grid.4827.9, Swansea University Medical School, , Swansea University, ; Singleton Campus Swansea, SA2 8PP UK
                [3 ]ISNI 0000 0004 0410 2071, GRID grid.7737.4, Department of Mathematics and Statistics, , University of Helsinki, ; Helsinki, 00100 Finland
                [4 ]ISNI 0000 0001 2220 1880, GRID grid.410795.e, Antimicrobial Resistance Research Center, , National Institute of Infectious Diseases, ; Tokyo, 162-8640 Japan
                [5 ]MRC Cloud-based Infrastructure for Microbial Bioinformatics (CLIMB) Consortium, Bath, BA2 7AY UK
                [6 ]ISNI 0000 0000 9039 7662, GRID grid.7132.7, Integrative Research Centre for Veterinary Preventive Medicine, , Faculty of Veterinary Medicine, Chiang Mai University, ; Chiang Mai, 50200 Thailand
                [7 ]ISNI 0000 0000 9291 0538, GRID grid.411558.c, Graduate School, , Maejo University, ; Chiang Mai, 50290 Thailand
                [8 ]ISNI 0000 0004 0618 0495, GRID grid.418048.1, AO Research Institute Davos, ; Davos, 7270 Switzerland
                [9 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Wellcome Centre for Human Genetics, , University of Oxford, ; Oxford, OX3 7BN UK
                [10 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Department of Zoology, , University of Oxford, ; Oxford, OX1 3SZ UK
                [11 ]GRID grid.410567.1, Department of Orthopaedic Surgery and Traumatology, , University Hospital Basel, ; Basel, 4031 Switzerland
                [12 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, Department of Infectious Disease Epidemiology, , Imperial College, ; London, SW7 2AZ UK
                [13 ]ISNI 0000000121511713, GRID grid.10772.33, Laboratory of Molecular Genetics, Instituto de Tecnologia Química e Biológica, , Universidade Nova de Lisboa, ; Oeiras, 2775-412 Portugal
                [14 ]ISNI 0000 0001 2166 1519, GRID grid.134907.8, Laboratory of Microbiology and Infectious Diseases, , The Rockefeller University, New York, ; New York, 10065 USA
                [15 ]ISNI 0000 0001 2287 2617, GRID grid.9026.d, Institut für Medizinische Mikrobiologie, Virologie & Hygiene, , Universität Hamburg, ; Hamburg, 20246 Germany
                [16 ]ISNI 0000 0004 1936 7603, GRID grid.5337.2, School of Cellular and Molecular Medicine, , University of Bristol, ; Bristol, BS8 1TD UK
                [17 ]Bioscientia Labor Ingelheim, Institut für Medizinische Diagnostik GmbH, Ingelheim, 55218 Germany
                [18 ]ISNI 0000 0004 1936 8921, GRID grid.5510.1, Department of Biostatistics, , University of Oslo, ; Oslo, 0372 Norway
                [19 ]ISNI 0000 0004 0606 5382, GRID grid.10306.34, Pathogen Genomics, , Wellcome Trust Sanger Institute, ; Hinxton, CB10 1SA UK
                [20 ]ISNI 0000 0001 0930 2361, GRID grid.4514.4, Present Address: Medical Protein Chemistry, Department of Translational Medicine, , Lund University, ; Malmö, 205 02 Sweden
                Author information
                http://orcid.org/0000-0001-6376-5121
                http://orcid.org/0000-0001-8596-0366
                http://orcid.org/0000-0003-3554-4254
                http://orcid.org/0000-0002-0751-0287
                http://orcid.org/0000-0001-6321-5138
                http://orcid.org/0000-0003-1446-6744
                http://orcid.org/0000-0003-2307-0397
                http://orcid.org/0000-0002-7752-1942
                Article
                7368
                10.1038/s41467-018-07368-7
                6261936
                30487573
                651e3d8b-54b1-46b6-aba3-30102c263c6c
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 March 2018
                : 23 October 2018
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