Evidence map›Paper›PMID 37227251›Full record

ReviewMicrobial genomics2023

Challenges in prokaryote pangenomics.

Gerry Tonkin-Hill, Jukka Corander, Julian Parkhill

Abstract readReview
In one paragraph

Review in Microbial genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. RefiningMicrobial genomics · 2026
    Article
  5. Article
  6. Defining thebioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Decoding EcuadorianBiomedicines · 2025
    Article
  17. Article
  18. Review
  19. A gentle introduction to pangenomics.Briefings in bioinformatics · 2024
    Review
  20. CELEBRIMBOR: core and accessory genes from metagenomes.Bioinformatics (Oxford, England) · 2024
    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

3 authors.

Gerry Tonkin-HillDepartment of Biostatistics, University of Oslo, Blindern, Norway.
Jukka CoranderDepartment of Biostatistics, University of Oslo, Blindern, Norway.
Julian ParkhillDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer (HGT) and the resulting patterns of gene gain and loss are a fundamental part of bacterial evolution. Investigating these patterns can help us to understand the role of selection in the evolution of bacterial pangenomes and how bacteria adapt to a new niche. Predicting the presence or absence of genes can be a highly error-prone process that can confound efforts to understand the dynamics of horizontal gene transfer. This review discusses both the challenges in accurately constructing a pangenome and the potential consequences errors can have on downstream analyses. We hope that by summarizing these issues researchers will be able to avoid potential pitfalls, leading to improved bacterial pangenome analyses.

Indexed as

Evolution, MolecularProkaryotic CellsBacteriaGene Transfer, HorizontalPhylogenybacteriagene annotationhorizontal gene transferpangenome

Identifiers

PMID37227251
PMCPMC10272878

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.