ArticleJournal of clinical microbiology2005
The role of 16S rRNA gene sequencing in identification of microorganisms misidentified by conventional methods.
Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
73 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between endodontic symptoms and root canal microbiota: a systematic review and meta-analysis of bacteroidetes, spirochaetes and fusobacteriales.Clinical oral investigations · 2024Pooled it
- Metagenomic Insights Into Red Sea Biodiversity Across the Web of Life.Environmental microbiology · 2026Article
- Lifestyle-dependent evolution and CtrA-mediated lifestyle transitions shape phage resistance in marine Roseobacter.Nature communications · 2026Article
- The Potential of Bioinformatics in Revolutionizing Disease Diagnosis in Sub-Saharan Africa: A Narrative Review.Health science reports · 2026Article
- Microbiome and metabolome integrated analysis reveals oral microbiota alterations and associated metabolic pathways in allergic rhinitis.Journal of oral microbiology · 2026Article
- Modified string test to improve and confirm by molecular characterization for bacterial identification.Access microbiology · 2026Article
- Optimization of 16S RNA Sequencing and Evaluation of Metagenomic Analysis with Kraken 2 and KrakenUniq.Diagnostics (Basel, Switzerland) · 2025Article
- Comparative Endosymbiont Community Structures of Nonviruliferous and Rice Stripe Virus-ViruliferousViruses · 2025Article
- Review
- The EDEN ISS mobile test facility microbiome changes by cleaning and continued use.Frontiers in microbiomes · 2025Article
- Integrated metagenomics and transcriptomics analysis reveals pathways associated with oral periapical lesions formation and progression.Current research in microbial sciences · 2025Article
- Position statement of the Microbiota International Clinical Society.Frontiers in microbiomes · 2025Article
- Unlocking the Potential of Probiotics: A Comprehensive Review on Research, Production, and Regulation of Probiotics.Probiotics and antimicrobial proteins · 2024Review
- Role of 16S Ribosomal RNA Analysis in Identification of Microorganisms in Febrile Urinary Tract Infection of Infants.Indian journal of pediatrics · 2023Article
- SCRAPT: an iterative algorithm for clustering large 16S rRNA gene data sets.Nucleic acids research · 2023Article
- The clinical value of metagenomic next-generation sequencing for rapid microbial identification of chronic granulation wound infections.Archives of medical science : AMS · 2023Article
- MOCHI: a comprehensive cross-platform tool for amplicon-based microbiota analysis.Bioinformatics (Oxford, England) · 2022Article
- Study on a Strain ofACS omega · 2022Article
- In vitro model systems for exploring oral biofilms: From single-species populations to complex multi-species communities.Journal of applied microbiology · 2022Review
- Development and validation of main spectral profile for rapid identification ofFrontiers in veterinary science · 2022Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional methods for microbial identification require the recognition of differences in morphology, growth, enzymatic activity, and metabolism to define genera and species. Full and partial 16S rRNA gene sequencing methods have emerged as useful tools for identifying phenotypically aberrant microorganisms. We report on three bacterial blood isolates from three different College of American Pathologists-certified laboratories that were referred to ARUP Laboratories for definitive identification. Because phenotypic identification suggested unusual organisms not typically associated with the submitted clinical diagnosis, consultation with the Medical Director was sought and further testing was performed including partial 16S rRNA gene sequencing. All three patients had endocarditis, and conventional methods identified isolates from patients A, B, and C as a Facklamia sp., Eubacterium tenue, and a Bifidobacterium sp. 16S rRNA gene sequencing identified the isolates as Enterococcus faecalis, Cardiobacterium valvarum, and Streptococcus mutans, respectively. We conclude that the initial identifications of these three isolates were erroneous, may have misled clinicians, and potentially impacted patient care. 16S rRNA gene sequencing is a more objective identification tool, unaffected by phenotypic variation or technologist bias, and has the potential to reduce laboratory errors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.