Evidence map›Paper›PMID 42281424›Full record

ReviewEssays in biochemistry2026

Invasive plasmids as ecosystem engineers-from mechanism to application.

Solomon Garland, Victoria T Orr, James P J Hall, Ellie Harrison

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Solomon Garland *School of Biosciences, The University of Sheffield, Sheffield, U.K.
Victoria T Orr *Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, U.K.ORCID 0000-0001-6283-9459
James P J HallInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, U.K.ORCID 0000-0002-4896-4592
Ellie HarrisonSchool of Biosciences, The University of Sheffield, Sheffield, U.K.ORCID 0000-0002-2050-4631

Funding

UKRI | Biotechnology and Biological Sciences Research Council (AFRC) APP37189UKRI | Medical Research Council (MRC) MR/W02666X/1UKRI | Natural Environment Research Council (NERC) NE/X009971/1
6 · The paper itself

Abstract

Horizontal gene transfer, mediated by mobile genetic elements such as conjugative plasmids, is recognised as a major driver of bacterial innovation. While predominantly explored in the context of change within individual strains and species, the broad host ranges of many plasmids mean that they can invade not just lineages but communities. This has far-reaching implications for both the fate of the plasmid and our understanding of bacterial adaptation, as well as applications for the functional engineering of microbial communities. In comparison to single-strain systems, in which plasmid invasion is largely determined by a now well-defined set of parameters-conjugation rate, fitness cost of carriage, and segregation loss-the spread of plasmids into communities is vastly more complex: governed by the wide range of dynamics within strains, but also by community dynamics, spatial heterogeneity, and the interactions between strain- and community-level selection. Here, we review the processes by which plasmids can invade communities and discuss how community complexity both constrains and facilitates plasmid spread. We further explore how this mechanistic understanding can be harnessed to enhance microbial community function.

Indexed as

BacteriaEcosystemPlasmidsGene Transfer, HorizontalMicrobiotabioaugmentationcommunityhorizontal gene transfermicrobiomePlasmids

Identifiers

PMID42281424
PMCPMC13538136

What OpenQuestion holds

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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.