Author
Listed:
- Guillaume Méric
(University of Bath)
- Leonardos Mageiros
(University of Bath
Swansea University)
- Johan Pensar
(University of Helsinki)
- Maisem Laabei
(University of Bath
Lund University)
- Koji Yahara
(National Institute of Infectious Diseases)
- Ben Pascoe
(University of Bath
MRC Cloud-based Infrastructure for Microbial Bioinformatics (CLIMB) Consortium)
- Nattinee Kittiwan
(Faculty of Veterinary Medicine, Chiang Mai University)
- Phacharaporn Tadee
(Maejo University)
- Virginia Post
(AO Research Institute Davos)
- Sarah Lamble
(University of Oxford)
- Rory Bowden
(University of Oxford)
- James E. Bray
(University of Oxford)
- Mario Morgenstern
(University Hospital Basel)
- Keith A. Jolley
(University of Oxford)
- Martin C. J. Maiden
(University of Oxford)
- Edward J. Feil
(University of Bath)
- Xavier Didelot
(Imperial College)
- Maria Miragaia
(Universidade Nova de Lisboa)
- Herminia Lencastre
(Universidade Nova de Lisboa
The Rockefeller University, New York)
- T. Fintan Moriarty
(AO Research Institute Davos)
- Holger Rohde
(Universität Hamburg)
- Ruth Massey
(University of Bath
University of Bristol)
- Dietrich Mack
(Institut für Medizinische Diagnostik GmbH)
- Jukka Corander
(University of Helsinki
University of Oslo
Wellcome Trust Sanger Institute)
- Samuel K. Sheppard
(University of Bath
MRC Cloud-based Infrastructure for Microbial Bioinformatics (CLIMB) Consortium
University of Oxford)
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.
Suggested Citation
Guillaume Méric & Leonardos Mageiros & Johan Pensar & Maisem Laabei & Koji Yahara & Ben Pascoe & Nattinee Kittiwan & Phacharaporn Tadee & Virginia Post & Sarah Lamble & Rory Bowden & James E. Bray & M, 2018.
"Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis,"
Nature Communications, Nature, vol. 9(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07368-7
DOI: 10.1038/s41467-018-07368-7
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