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    A core genome multilocus sequence typing (cgMLST) scheme for Enterococcus faecalis (2019)

    Art
    Zeitschriftenartikel / wissenschaftlicher Beitrag
    Autoren
    Neumann, Bernd
    Prior, Karola
    Bender, Jennifer K
    Harmsen, Dag
    Klare, Ingo
    Fuchs, Stephan
    Bethe, Astrid (WE 7)
    Zühlke, Daniela
    Göhler, André
    Schwarz, Stefan (WE 7)
    Schaffer, Kirsten
    Riedel, Katharina
    Wieler, Lothar H
    Werner, Guido
    Quelle
    Journal of clinical microbiology
    Bandzählung: 57
    Heftzählung: 3
    Seiten: e01686-18
    ISSN: 0095-1137
    Sprache
    Englisch
    Verweise
    URL (Volltext): https://jcm.asm.org/content/jcm/57/3/e01686-18.full.pdf
    DOI: 10.1128/JCM.01686-18
    Pubmed: 30651394
    Kontakt
    Institut für Mikrobiologie und Tierseuchen

    Robert-von-Ostertag-Str. 7-13
    14163 Berlin
    +49 30 838 51843 / 66949
    mikrobiologie@vetmed.fu-berlin.de

    Abstract / Zusammenfassung

    Among enterococci, Enterococcus faecalis occurs ubiquitously, with the highest incidence of human and animal infections. The high genetic plasticity of E. faecalis complicates both molecular investigations and phylogenetic analyses. Whole-genome sequencing (WGS) enables unraveling of epidemiological linkages and putative transmission events between humans, animals, and food. Core genome multilocus sequence typing (cgMLST) aims to combine the discriminatory power of classical multilocus sequence typing (MLST) with the extensive genetic data obtained by WGS. By sequencing a representative collection of 146 E. faecalis strains isolated from hospital outbreaks, food, animals, and colonization of healthy human individuals, we established a novel cgMLST scheme with 1972 gene targets within the Ridom SeqSphere+ software. To test the E. faecalis cgMLST scheme and assess the typing performance, different collections comprising environmental and bacteremia isolates, and all publicly available genome sequences from NCBI and SRA were analyzed. In more than 98.6% of the tested genomes, >95% good cgMLST target genes were detected (mean: 99.2% target genes). Our genotyping results not only corroborate the known epidemiological background of the isolates, but exceed previous typing resolution. In conclusion, we have created a powerful typing scheme, hence providing an international standardized nomenclature that is suitable for surveillance approaches in various sectors, linking public health, veterinary public health, and food safety in a true One Health fashion.