Evidence map›Paper›PMID 29427429›Full record

ReviewApplied and environmental microbiology2018

The Madness of Microbiome: Attempting To Find Consensus "Best Practice" for 16S Microbiome Studies.

Jolinda Pollock, Laura Glendinning, Trong Wisedchanwet, Mick Watson

Abstract readReview
In one paragraph

Review in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 277 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
277citing papers in PubMed, 3 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

277 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Effect of Exogenous Sex Steroids on the Vaginal Microbiota: A Systematic Review.Frontiers in cellular and infection microbiology · 2021
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Microbial genomics · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. The Role of Selected Bacteria in Breast Cancer Initiation and Development.International journal of molecular sciences · 2026
    Review
  19. Article
  20. Article

217 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

4 authors.

Jolinda Pollock *Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Edinburgh, United Kingdom jolinda.pollock@sruc.ac.uk.ORCID 0000-0002-2260-592X
Laura Glendinning *The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-4789-6644
Trong WisedchanwetThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.
Mick WatsonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-4211-0358

Funding

Biotechnology and Biological Sciences Research Council BB/J004235/1Biotechnology and Biological Sciences Research Council BB/J004243/1Biotechnology and Biological Sciences Research Council BB/J01446X/1Biotechnology and Biological Sciences Research Council BB/K501591/1Biotechnology and Biological Sciences Research Council BB/N016742/1Biotechnology and Biological Sciences Research Council BB/N01720X/1Biotechnology and Biological Sciences Research Council BB/P013732/1
6 · The paper itself

Abstract

The development and continuous improvement of high-throughput sequencing platforms have stimulated interest in the study of complex microbial communities. Currently, the most popular sequencing approach to study microbial community composition and dynamics is targeted 16S rRNA gene metabarcoding. To prepare samples for sequencing, there are a variety of processing steps, each with the potential to introduce bias at the data analysis stage. In this short review, key information from the literature pertaining to each processing step is described, and consequently, general recommendations for future 16S rRNA gene metabarcoding experiments are made.

Indexed as

DNA Barcoding, TaxonomicMicrobiotaRNA, BacterialRNA, Ribosomal, 16SGuidelines as TopicRNA, BacterialRNA, Ribosomal, 16S16S RNADNA sequencingmicrobiome

Identifiers

PMID29427429
PMCPMC5861821

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.