Evidence map›Paper›PMID 34559043›Full record

ArticleMicrobial genomics2021

Different evolutionary trends form the twilight zone of the bacterial pan-genome.

Gal Horesh, Alyce Taylor-Brown, Stephanie McGimpsey, Florent Lassalle, Jukka Corander, Eva Heinz, Nicholas R Thomson

Abstract read
In one paragraph

Article in Microbial genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. A generative model for bipartite gene-sharing networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  3. Review
  4. A decade of antimicrobial resistance inMicrobiology spectrum · 2026
    Article
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  11. Article
  12. Article
  13. Article
  14. Average Nucleotide Identity basedbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Challenges in prokaryote pangenomics.Microbial genomics · 2023
    Review
  19. Article
  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

7 authors.

Gal HoreshParasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Alyce Taylor-BrownParasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Stephanie McGimpseyParasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Florent LassalleParasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Jukka CoranderParasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Eva HeinzDepartments of Vector Biology and Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Nicholas R ThomsonParasites and Microbes, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.

Funding

Wellcome TrustWellcome Trust 217303/Z/19/Z
6 · The paper itself

Abstract

The pan-genome is defined as the combined set of all genes in the gene pool of a species. Pan-genome analyses have been very useful in helping to understand different evolutionary dynamics of bacterial species: an open pan-genome often indicates a free-living lifestyle with metabolic versatility, while closed pan-genomes are linked to host-restricted, ecologically specialized bacteria. A detailed understanding of the species pan-genome has also been instrumental in tracking the phylodynamics of emerging drug resistance mechanisms and drug-resistant pathogens. However, current approaches to analyse a species' pan-genome do not take the species population structure into account, nor do they account for the uneven sampling of different lineages, as is commonplace due to over-sampling of clinically relevant representatives. Here we present the application of a population structure-aware approach for classifying genes in a pan-genome based on within-species distribution. We demonstrate our approach on a collection of 7500

Indexed as

Evolution, MolecularGenome, BacterialBacteriaEscherichia coliGene Transfer, HorizontalGenomicsMultigene FamilyPhylogenyE. colievolutionary dynamicsHGTpan-genome

Identifiers

PMID34559043
PMCPMC8715436

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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.