Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/62957
Title: Disease-associated genotypes of the commensal skin bacterium Staphylococcus epidermidis
Authors: 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
Mario Morgenstern
Keith A. Jolley
Martin C.J. Maiden
Edward J. Feil
Xavier Didelot
Maria Miragaia
Herminia de Lencastre
T. Fintan Moriarty
Holger Rohde
Ruth Massey
Dietrich Mack
Jukka Corander
Samuel K. Sheppard
Authors: 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
Mario Morgenstern
Keith A. Jolley
Martin C.J. Maiden
Edward J. Feil
Xavier Didelot
Maria Miragaia
Herminia de Lencastre
T. Fintan Moriarty
Holger Rohde
Ruth Massey
Dietrich Mack
Jukka Corander
Samuel K. Sheppard
Keywords: Biochemistry, Genetics and Molecular Biology;Chemistry;Physics and Astronomy
Issue Date: 28-Nov-2018
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057519497&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62957
ISSN: 20411723
Appears in Collections:CMUL: Journal Articles

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