SCC mec Finder, a Web-Based Tool for Typing of Staphylococcal Cassette Chromosome mec in Staphylococcus aureus Using Whole-Genome Sequence Data

Author:

Kaya Hülya12,Hasman Henrik1,Larsen Jesper1ORCID,Stegger Marc1,Johannesen Thor Bech1,Allesøe Rosa Lundbye3,Lemvigh Camilla Koldbæk3,Aarestrup Frank Møller2,Lund Ole3,Larsen Anders Rhod1

Affiliation:

1. Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark

2. Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs Lyngby, Denmark

3. Center for Biological Sequence Analysis, Department of Bioinformatics, Technical University of Denmark, Kgs Lyngby, Denmark

Abstract

SCC mec in MRSA is acknowledged to be of importance not only because it contains the mecA or mecC gene but also for staphylococcal adaptation to different environments, e.g., in hospitals, the community, and livestock. Typing of SCC mec by PCR techniques has, because of its heterogeneity, been challenging, and whole-genome sequencing has only partially solved this since no good bioinformatic tools have been available. In this article, we describe the development of a new bioinformatic tool, SCC mec Finder, that includes most of the needs for infection control professionals and researchers regarding the interpretation of SCC mec elements. The software detects all of the SCC mec elements accepted by the International Working Group on the Classification of Staphylococcal Cassette Chromosome Elements, and users will be prompted if diverging and potential new elements are uploaded. Furthermore, SCC mec Finder will be curated and updated as new elements are found and it is easy to use and freely accessible.

Funder

Danish Council for Strategic Research

EC | Horizon 2020 Framework Programme

Publisher

American Society for Microbiology

Subject

Molecular Biology,Microbiology

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