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Molecular Characterization of Microbiota in Cerebrospinal Fluid From Patients With CSF Shunt Infections Using Whole Genome Amplification Followed by Shotgun Sequencing.
Hodor, Paul; Pope, Christopher E; Whitlock, Kathryn B; Hoffman, Lucas R; Limbrick, David L; McDonald, Patrick J; Hauptman, Jason S; Ojemann, Jeffrey G; Simon, Tamara D.
Afiliação
  • Hodor P; Seattle Children's Hospital, Seattle, WA, United States.
  • Pope CE; Department of Pediatrics, University of Washington, Seattle, WA, United States.
  • Whitlock KB; New Harmony Statistical Consulting LLC, Clinton, WA, United States.
  • Hoffman LR; Seattle Children's Hospital, Seattle, WA, United States.
  • Limbrick DL; Department of Pediatrics, University of Washington, Seattle, WA, United States.
  • McDonald PJ; Department of Neurosurgery, Washington University in St. Louis, St. Louis, MO, United States.
  • Hauptman JS; Division of Neurosurgery, University of British Columbia, Vancouver, BC, Canada.
  • Ojemann JG; Seattle Children's Hospital, Seattle, WA, United States.
  • Simon TD; Department of Pediatrics, University of Washington, Seattle, WA, United States.
Front Cell Infect Microbiol ; 11: 699506, 2021.
Article em En | MEDLINE | ID: mdl-34490140
ABSTRACT
Understanding the etiology of cerebrospinal fluid (CSF) shunt infections and reinfections requires detailed characterization of associated microorganisms. Traditionally, identification of bacteria present in the CSF has relied on culture methods, but recent studies have used high throughput sequencing of 16S rRNA genes. Here we evaluated the method of shotgun DNA sequencing for its potential to provide additional genomic information. CSF samples were collected from 3 patients near the beginning and end of each of 2 infection episodes. Extracted total DNA was sequenced by (1) whole genome amplification followed by shotgun sequencing (WGA) and (2) high-throughput sequencing of the 16S rRNA V4 region (16S). Taxonomic assignments of sequences from WGA and 16S were compared with one another and with conventional microbiological cultures. While classification of bacteria was consistent among the 3 approaches, WGA provided additional insights into sample microbiological composition, such as showing relative abundances of microbial versus human DNA, identifying samples of questionable quality, and detecting significant viral load in some samples. One sample yielded sufficient non-human reads to allow assembly of a high-quality Staphylococcus epidermidis genome, denoted CLIMB1, which we characterized in terms of its MLST profile, gene complement (including putative antimicrobial resistance genes), and similarity to other annotated S. epidermidis genomes. Our results demonstrate that WGA directly applied to CSF is a valuable tool for the identification and genomic characterization of dominant microorganisms in CSF shunt infections, which can facilitate molecular approaches for the development of better diagnostic and treatment methods.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microbiota Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article