Evidence map›Paper›PMID 36759552›Full record

ArticleThe ISME journal2023

Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission.

Julie Teresa Shapiro, Alvah Zorea, Aya Brown Kav, Vicente J Ontiveros, Itzhak Mizrahi, Shai Pilosof

Open access · hybridAbstract read
In one paragraph

Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Genomic epidemiology ofOne health (Amsterdam, Netherlands) · 2026
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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

6 authors at 3 institutions in 4 countries.

Julie Teresa ShapiroDepartment of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel. julie.shapiro@anses.fr.ORCID 0000-0002-4539-650X
Alvah ZoreaDepartment of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Aya Brown KavProgram for Mathematical Genomics, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
Vicente J OntiverosDepartment of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.ORCID 0000-0001-8477-2574
Itzhak MizrahiDepartment of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.ORCID 0000-0001-6636-8818
Shai PilosofDepartment of Life Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel. pilos@bgu.ac.il.
Ben-Gurion University of the Negev · ILColumbia University Irving Medical Center · USUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a significant threat to public health. Plasmids are principal vectors of AMR genes, significantly contributing to their spread and mobility across hosts. Nevertheless, little is known about the dynamics of plasmid genetic exchange across animal hosts. Here, we use theory and methodology from network and disease ecology to investigate the potential of gene transmission between plasmids using a data set of 21 plasmidomes from a single dairy cow population. We constructed a multilayer network based on pairwise plasmid genetic similarity. Genetic similarity is a signature of past genetic exchange that can aid in identifying potential routes and mechanisms of gene transmission within and between cows. Links between cows dominated the transmission network, and plasmids containing mobility genes were more connected. Modularity analysis revealed a network cluster where all plasmids contained a mobM gene, and one where all plasmids contained a beta-lactamase gene. Cows that contain both clusters also share transmission pathways with many other cows, making them candidates for super-spreading. In support, we found signatures of gene super-spreading in which a few plasmids and cows are responsible for most gene exchange. An agent-based transmission model showed that a new gene invading the cow population will likely reach all cows. Finally, we showed that edge weights contain a non-random signature for the mechanisms of gene transmission, allowing us to differentiate between dispersal and genetic exchange. These results provide insights into how genes, including those providing AMR, spread across animal hosts.

Indexed as

beta-LactamasesPublic HealthAnimalsAnti-Bacterial AgentsCattleDrug Resistance, BacterialPlasmidsAnti-Bacterial Agentsbeta-Lactamases

Identifiers

PMID36759552
PMCPMC10119158
OpenAlexW4319737988

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.