Evidence map›Paper›PMID 32415210›Full record

ArticleNature communications2020

Large-scale network analysis captures biological features of bacterial plasmids.

Mislav Acman, Lucy van Dorp, Joanne M Santini, Francois Balloux

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
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, 133 citations in OpenAlex.

  1. Review
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Plasmid-Driven Resistome Diversity in 9700Antibiotics (Basel, Switzerland) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A phylogenetic approach to comparative genomics.Nature reviews. Genetics · 2025
    Review
  19. Article
  20. Review

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

4 authors at 2 institutions in 1 country.

Mislav AcmanUCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK. mislav.acman.17@ucl.ac.uk.ORCID http://orcid.org/0000-0003-2587-2836
Lucy van DorpUCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0002-6211-2310
Joanne M SantiniInstitute of Structural and Molecular Biology, University College London, Gower Street, London, WC1E 6BT, UK.ORCID http://orcid.org/0000-0003-1808-898X
Francois BallouxUCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK. f.balloux@ucl.ac.uk.ORCID http://orcid.org/0000-0003-1978-7715
University College London · GBInstitute of Structural and Molecular Biology · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R01356X/1Department of HealthMedical Research Council MR/P007597/1Wellcome TrustWellcome Trust 19RX03
6 · The paper itself

Abstract

Many bacteria can exchange genetic material through horizontal gene transfer (HGT) mediated by plasmids and plasmid-borne transposable elements. Here, we study the population structure and dynamics of over 10,000 bacterial plasmids, by quantifying their genetic similarities and reconstructing a network based on their shared k-mer content. We use a community detection algorithm to assign plasmids into cliques, which correlate with plasmid gene content, bacterial host range, GC content, and existing classifications based on replicon and mobility (MOB) types. Further analysis of plasmid population structure allows us to uncover candidates for yet undescribed replicon genes, and to identify transposable elements as the main drivers of HGT at broad phylogenetic scales. Our work illustrates the potential of network-based analyses of the bacterial 'mobilome' and opens up the prospect of a natural, exhaustive classification framework for bacterial plasmids.

Indexed as

Gene Regulatory NetworksAlgorithmsBacteriaBase CompositionDatabases, GeneticGenes, BacterialGene Transfer, HorizontalPhylogenyPlasmidsReplicon

Identifiers

PMID32415210
PMCPMC7229196
OpenAlexW3024222188

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.