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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.
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1 The Milner Centre for Evolution, University of Bath, Bath, UK
2 The Milner Centre for Evolution, University of Bath, Bath, UK; Swansea University Medical School, Swansea University, Swansea, UK
3 Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
4 The Milner Centre for Evolution, University of Bath, Bath, UK; Medical Protein Chemistry, Department of Translational Medicine, Lund University, Malmö, Sweden
5 Antimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo, Japan
6 The Milner Centre for Evolution, University of Bath, Bath, UK; MRC Cloud-based Infrastructure for Microbial Bioinformatics (CLIMB) Consortium, Bath, UK
7 Integrative Research Centre for Veterinary Preventive Medicine, Faculty of Veterinary Medicine, Chiang Mai University, Chiang Mai, Thailand
8 Graduate School, Maejo University, Chiang Mai, Thailand
9 AO Research Institute Davos, Davos, Switzerland
10 Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
11 Department of Zoology, University of Oxford, Oxford, UK
12 Department of Orthopaedic Surgery and Traumatology, University Hospital Basel, Basel, Switzerland
13 Department of Infectious Disease Epidemiology, Imperial College, London, UK
14 Laboratory of Molecular Genetics, Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal
15 Laboratory of Molecular Genetics, Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal; Laboratory of Microbiology and Infectious Diseases, The Rockefeller University, New York, New York, USA
16 Institut für Medizinische Mikrobiologie, Virologie & Hygiene, Universität Hamburg, Hamburg, Germany
17 The Milner Centre for Evolution, University of Bath, Bath, UK; School of Cellular and Molecular Medicine, University of Bristol, Bristol, UK
18 Bioscientia Labor Ingelheim, Institut für Medizinische Diagnostik GmbH, Ingelheim, Germany
19 Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland; Department of Biostatistics, University of Oslo, Oslo, Norway; Pathogen Genomics, Wellcome Trust Sanger Institute, Hinxton, UK
20 The Milner Centre for Evolution, University of Bath, Bath, UK; MRC Cloud-based Infrastructure for Microbial Bioinformatics (CLIMB) Consortium, Bath, UK; Department of Zoology, University of Oxford, Oxford, UK