Evidence map›Paper›PMID 34839701›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2022

Plasmid co-infection: linking biological mechanisms to ecological and evolutionary dynamics.

Claudia Igler, Jana S Huisman, Berit Siedentop, Sebastian Bonhoeffer, Sonja Lehtinen

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Jumping DNA polymerases in bacteriophages.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. One Earth: The Equilibrium between the Human and the Bacterial Worlds.International journal of molecular sciences · 2023
    Review
  19. Review
  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

5 authors at 2 institutions in 2 countries.

Claudia IglerInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.
Jana S HuismanInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID 0000-0002-1782-8109
Berit SiedentopInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID 0000-0003-0802-7681
Sebastian BonhoefferInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID 0000-0001-8052-3925
Sonja LehtinenInstitute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.ORCID 0000-0002-4236-828X
University of Zurich · CHSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As infectious agents of bacteria and vehicles of horizontal gene transfer, plasmids play a key role in bacterial ecology and evolution. Plasmid dynamics are shaped not only by plasmid-host interactions but also by ecological interactions between plasmid variants. These interactions are complex: plasmids can co-infect the same cell and the consequences for the co-resident plasmid can be either beneficial or detrimental. Many of the biological processes that govern plasmid co-infection-from systems that exclude infection by other plasmids to interactions in the regulation of plasmid copy number-are well characterized at a mechanistic level. Modelling plays a central role in translating such mechanistic insights into predictions about plasmid dynamics and the impact of these dynamics on bacterial evolution. Theoretical work in evolutionary epidemiology has shown that formulating models of co-infection is not trivial, as some modelling choices can introduce unintended ecological assumptions. Here, we review how the biological processes that govern co-infection can be represented in a mathematical model, discuss potential modelling pitfalls, and analyse this model to provide general insights into how co-infection impacts ecological and evolutionary outcomes. In particular, we demonstrate how beneficial and detrimental effects of co-infection give rise to frequency-dependent selection on plasmid variants. This article is part of the theme issue 'The secret lives of microbial mobile genetic elements'.

Indexed as

CoinfectionBacteriaGene Transfer, HorizontalHumansPlasmidsecological and evolutionary dynamicsfrequency-dependent selectionmathematical modellingplasmid co-infectionplasmids

Identifiers

PMID34839701
PMCPMC8628072
OpenAlexW3217285166

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.