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Comparison of Three Commercial Tools for Metagenomic Shotgun Sequencing Analysis.
Thoendel, Matthew; Jeraldo, Patricio; Greenwood-Quaintance, Kerryl E; Yao, Janet; Chia, Nicholas; Hanssen, Arlen D; Abdel, Matthew P; Patel, Robin.
Afiliación
  • Thoendel M; Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Jeraldo P; Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Greenwood-Quaintance KE; Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
  • Yao J; Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Chia N; Department of Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Hanssen AD; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
  • Abdel MP; Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Patel R; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
J Clin Microbiol ; 58(3)2020 02 24.
Article en En | MEDLINE | ID: mdl-31826963
ABSTRACT
Metagenomic shotgun sequencing for the identification of pathogens is being increasingly utilized as a diagnostic method. Interpretation of large and complicated data sets is a significant challenge, for which multiple commercial tools have been developed. Three commercial metagenomic shotgun sequencing tools, CosmosID, One Codex, and IDbyDNA, were compared to determine whether they result in similar interpretations of the same sequencing data. We selected 24 diverse samples from a previously characterized data set derived from DNA extracted from biofilms dislodged from the surfaces of resected arthroplasties (sonicate fluid). Sequencing data sets were analyzed using the three commercial tools and compared to culture results and prior metagenomic analysis interpretation. Identical interpretations from all three tools occurred for 6 samples. The total number of species identified included 28 by CosmosID, 59 by One Codex, and 41 by IDbyDNA. All of the tools performed similarly in detecting those microorganisms identified by culture, including polymicrobial mixes. These data show that while all of the tools performed well overall, there were some differences, particularly in their predilection for identifying low-abundance or contaminant organisms as present.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metagenoma / Metagenómica Límite: Humans Idioma: En Revista: J Clin Microbiol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metagenoma / Metagenómica Límite: Humans Idioma: En Revista: J Clin Microbiol Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
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