Evidence map›Paper›PMID 31906254›Full record

ArticleInternational journal of molecular sciences2019

TARGETING THE 16S RRNA GENE FOR BACTERIAL IDENTIFICATION IN COMPLEX MIXED SAMPLES: COMPARATIVE EVALUATION OF SECOND (ILLUMINA) AND THIRD (OXFORD NANOPORE TECHNOLOGIES) GENERATION SEQUENCING TECHNOLOGIES.

Raf Winand, Bert Bogaerts, Stefan Hoffman, Loïc Lefevre, Maud Delvoye, Julien Van Braekel, Qiang Fu, Nancy Hc Roosens, Sigrid Cj De Keersmaecker, Kevin Vanneste

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Oral and plasma microbiome in the context of acute febrile illness.medRxiv : the preprint server for health sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diagnostic challenges in postoperative pelvic infections associated withFrontiers in cellular and infection microbiology · 2026
    Article
  10. The prevalence and distribution ofFrontiers in microbiomes · 2026
    Article
  11. Microbial dysbiosis and inferred functional profiling reveals the potential role ofFrontiers in cellular and infection microbiology · 2026
    Article
  12. Ecological origin and naturalCurrent research in parasitology & vector-borne diseases · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. 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
  17. Article
  18. Article
  19. Article
  20. Article

44 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.

Raf Winand
Bert Bogaerts
Stefan Hoffman
Loïc Lefevre
Maud Delvoye
Julien Van Braekel
Qiang Fu
Nancy Hc Roosens
Sigrid Cj De Keersmaecker
Kevin Vanneste

Funding

Sciensano 0001252
6 · The paper itself

Abstract

Rapid, accurate bacterial identification in biological samples is an important task for microbiology laboratories, for which 16S~rRNA gene Sanger sequencing of cultured isolates is frequently used. In contrast, next-generation sequencing does not require intermediate culturing steps and can be directly applied on communities, but its performance has not been extensively evaluated. We present a comparative evaluation of second (Illumina) and third (Oxford Nanopore Technologies (ONT)) generation sequencing technologies for 16S targeted genomics using a well-characterized reference sample. Different 16S gene regions were amplified and sequenced using the Illumina MiSeq, and analyzed with Mothur. Correct classification was variable, depending on the region amplified. Using a majority vote over all regions, most false positives could be eliminated at the genus level but not the species level. Alternatively, the entire 16S gene was amplified and sequenced using the ONT MinION, and analyzed with Mothur, EPI2ME, and GraphMap. Although >99\% of reads were correctly classified at the genus level, up to $\approx$40\% were misclassified at the species level. Both~technologies, therefore, allow reliable identification of bacterial genera, but can potentially misguide identification of bacterial species, and constitute viable alternatives to Sanger sequencing for rapid analysis of mixed samples without requiring any culturing steps.

Indexed as

High-Throughput Nucleotide SequencingNanoporesBacteriaDNA, BacterialRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16S16S~rRNAbacterial identificationIlluminaNanoporeorientationpublic healthtargeted genomicstargeted metagenomics

Identifiers

PMID31906254
PMCPMC6982111

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.