Evidence map›Paper›PMID 28611406›Full record

ArticleScientific reports2017

Targeted next-generation sequencing of the 16S-23S rRNA region for culture-independent bacterial identification - increased discrimination of closely related species.

Artur J Sabat, Evert van Zanten, Viktoria Akkerboom, Guido Wisselink, Kees van Slochteren, Richard F de Boer, Ron Hendrix, Alexander W Friedrich, John W A Rossen, Anna M D Mirjam Kooistra-Smid

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
–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

72 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Frontiers in veterinary science · 2026
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  6. Caracterização taxonômica integrativa de comunidades bacterianas e fúngicas de tripas de cupins e areia de folhas.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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  7. Article
  8. Evaluation of biofilm formation, antimicrobial pattern, and typing of Stenotrophomonas maltophilia isolated from clinical sources in Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  9. Bacterial Isolates Associated with Mortality Events in Brown Trout (Animals : an open access journal from MDPI · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. An integrated AI knowledge graph framework of bacterial enzymology and metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Guidelines for Antibiotics Prescription in Critically Ill Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  17. Review
  18. Article
  19. Article
  20. The complete genome sequence of unculturableFrontiers in cellular and infection microbiology · 2024
    Article

12 more citing papers are in PubMed but not listed here.

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

10 authors.

Artur J SabatDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Evert van ZantenDepartment of Medical Microbiology, Certe, Groningen, The Netherlands.
Viktoria AkkerboomDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Guido WisselinkDepartment of Medical Microbiology, Certe, Groningen, The Netherlands.
Kees van SlochterenDepartment of Medical Microbiology, Certe, Groningen, The Netherlands.
Richard F de BoerDepartment of Medical Microbiology, Certe, Groningen, The Netherlands.
Ron HendrixDepartment of Medical Microbiology, Certe, Groningen, The Netherlands.
Alexander W FriedrichDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. alex.friedrich@umcg.nl.
John W A RossenDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Anna M D Mirjam Kooistra-SmidDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to develop an easy-to-use culture-free diagnostic method based on next generation sequencing (NGS) of PCR amplification products encompassing whole 16S-23S rRNA region to improve the resolution of bacterial species identification. To determine the resolution of the new method 67 isolates were subjected to four identification methods: Sanger sequencing of the 16S rRNA gene; NGS of the 16S-23S rRNA region using MiSeq (Illumina) sequencer; Microflex MS (Bruker) and VITEK MS (bioMérieux). To evaluate the performance of this new method when applied directly on clinical samples, we conducted a proof of principle study with 60 urine samples from patients suspected of urinary tract infections (UTIs), 23 BacT/ALERT (bioMérieux) positive blood culture bottles and 21 clinical orthopedic samples. The resolution power of NGS of the 16S-23S rRNA region was superior to other tested identification methods. Furthermore, the new method correctly identified pathogens established as the cause of UTIs and blood stream infections with conventional culture. NGS of the 16S-23S rRNA region also showed increased detection of bacterial microorganisms in clinical samples from orthopedic patients. Therefore, we conclude that our method has the potential to increase diagnostic yield for detection of bacterial pathogenic species compared to current methods.

Indexed as

DNA, BacterialDNA Barcoding, TaxonomicHumansMicrobiotaRNA, Ribosomal, 16SRNA, Ribosomal, 23SSequence Analysis, DNAUrinary Tract InfectionsDNA, BacterialRNA, Ribosomal, 16SRNA, Ribosomal, 23S

Identifiers

PMID28611406
PMCPMC5469791

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Registered trials

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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.