Evidence map›Paper›PMID 21389154›Full record

ArticleJournal of clinical microbiology2011

Automated identification of medically important bacteria by 16S rRNA gene sequencing using a novel comprehensive database, 16SpathDB.

Patrick C Y Woo, Jade L L Teng, Juilian M Y Yeung, Herman Tse, Susanna K P Lau, Kwok-Yung Yuen

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Detection of Microorganisms in Body Fluid Samples.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  2. The Pathogenic Role ofAntibiotics (Basel, Switzerland) · 2020
    Review
  3. Article
  4. Parvimonas micra bacteremia in a patient with colonic carcinoma.Caspian journal of internal medicine · 2019
    Article
  5. Article
  6. Clinical Mass Spectrometry in the Bioinformatics Era: A Hitchhiker's Guide.Computational and structural biotechnology journal · 2018
    Review
  7. Article
  8. Rising Strengths Hong Kong SAR in Bioinformatics.Interdisciplinary sciences, computational life sciences · 2017
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Clinical microbiology informatics.Clinical microbiology reviews · 2014
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Patrick C Y WooState Key Laboratory of Emerging Infectious Diseases, Research Centre of Infection and Immunology, Department ofMicrobiology, and Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong. pcywoo@hkucc.hku.hk
Jade L L Teng
Juilian M Y Yeung
Herman Tse
Susanna K P Lau
Kwok-Yung Yuen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the increasing use of 16S rRNA gene sequencing, interpretation of 16S rRNA gene sequence results is one of the most difficult problems faced by clinical microbiologists and technicians. To overcome the problems we encountered in the existing databases during 16S rRNA gene sequence interpretation, we built a comprehensive database, 16SpathDB (http://147.8.74.24/16SpathDB) based on the 16S rRNA gene sequences of all medically important bacteria listed in the Manual of Clinical Microbiology and evaluated its use for automated identification of these bacteria. Among 91 nonduplicated bacterial isolates collected in our clinical microbiology laboratory, 71 (78%) were reported by 16SpathDB as a single bacterial species having >98.0% nucleotide identity with the query sequence, 19 (20.9%) were reported as more than one bacterial species having >98.0% nucleotide identity with the query sequence, and 1 (1.1%) was reported as no match. For the 71 bacterial isolates reported as a single bacterial species, all results were identical to their true identities as determined by a polyphasic approach. For the 19 bacterial isolates reported as more than one bacterial species, all results contained their true identities as determined by a polyphasic approach and all of them had their true identities as the "best match in 16SpathDB." For the isolate (Gordonibacter pamelaeae) reported as no match, the bacterium has never been reported to be associated with human disease and was not included in the Manual of Clinical Microbiology. 16SpathDB is an automated, user-friendly, efficient, accurate, and regularly updated database for 16S rRNA gene sequence interpretation in clinical microbiology laboratories.

Indexed as

BacteriaBacterial InfectionsDatabases, Nucleic AcidDNA, BacterialDNA, RibosomalHumansRNA, Ribosomal, 16SDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID21389154
PMCPMC3122693

What OpenQuestion holds

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Registered trials

None linked

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.