title: Comparison of the Biolog OmniLog Identification System and 16S ribosomal RNA gene sequencing for accuracy in identification of atypical bacteria of clinical origin.
abstract: The Biolog OmniLog Identification System (Biolog) and the 16S ribosomal RNA (rRNA) gene sequencing methods were compared to conventional microbiological methods and evaluated for accuracy of bacterial identification. These methods were evaluated using 159 clinical isolates. Each isolate was initially identified by conventional biochemical tests and morphological characteristics and subsequently placed into one of seven categories: aerobic Actinomycetes, Bacillus, Coryneforms, fastidious Gram-negative rods (GNR), non-fermenting GNR, miscellaneous Gram-positive rods (GPR), and Vibrio/Aeromonas. After comparison to the conventional identification, the Biolog system and 16S rRNA gene sequence identifications were classified as follows: a) correct to the genus and species levels; b) correct to the genus level only; or c) neither (unacceptable) identification. Overall, 16S rRNA gene sequencing had the highest percent accuracy with 90.6% correct identifications, while the Biolog system identified 68.3% of the isolates correctly. For each category, 16S rRNA gene sequencing had a substantially higher percent accuracy compared to the conventional methods. It was determined that the Biolog system is deficient when identifying organisms in the fastidious GNR category (20.0%). The observed data suggest that 16S rRNA gene sequencing provides a more accurate identification of atypical bacteria than the Biolog system.
authors.affiliation: North Carolina State Laboratory of Public Health, Raleigh, NC 27601, United States.
authors.forename: Megan C
authors.initials: MC
authors.lastname: Morgan
authors.forename: Marilyn
authors.initials: M
authors.lastname: Boyette
authors.forename: Chris
authors.initials: C
authors.lastname: Goforth
authors.forename: Katharine Volpe
authors.initials: KV
authors.lastname: Sperry
authors.forename: Shermalyn R
authors.initials: SR
authors.lastname: Greene
mesh_terms: D001419:Bacteria / Q000145:classification* / Q000235:genetics / Q000254:growth & development; D001424:Bacterial Infections / Q000382:microbiology*; D015373:Bacterial Typing Techniques / Q000379:methods*; D006801:Humans; D016133:Polymerase Chain Reaction / Q000379:methods*; D012336:RNA, Ribosomal, 16S / Q000235:genetics*
chemical_list: D012336:RNA, Ribosomal, 16S