Evidence map›Paper›PMID 37796811›Full record

ArticleBioinformatics (Oxford, England)2023

SHIP: identifying antimicrobial resistance gene transfer between plasmids.

Marco Teixeira, Stephanie Pillay, Aysun Urhan, Thomas Abeel

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

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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

4 authors at 3 institutions in 3 countries.

Marco TeixeiraFaculty of Engineering, University of Porto, Porto 4200-465, Portugal.ORCID 0000-0002-7219-0478
Stephanie PillayDelft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft 2628 XE, The Netherlands.
Aysun UrhanDelft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft 2628 XE, The Netherlands.
Thomas AbeelDelft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, Delft 2628 XE, The Netherlands.ORCID 0000-0002-7205-7431
Broad Institute · USDelft University of Technology · NLUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationPlasmids are carriers for antimicrobial resistance (AMR) genes and can exchange genetic material with other structures, contributing to the spread of AMR. There is no reliable approach to identify the transfer of AMR genes across plasmids. This is mainly due to the absence of a method to assess the phylogenetic distance of plasmids, as they show large DNA sequence variability. Identifying and quantifying such transfer can provide novel insight into the role of small mobile elements and resistant plasmid regions in the spread of AMR.

resultsWe developed SHIP, a novel method to quantify plasmid similarity based on the dynamics of plasmid evolution. This allowed us to find conserved fragments containing AMR genes in structurally different and phylogenetically distant plasmids, which is evidence for lateral transfer. Our results show that regions carrying AMR genes are highly mobilizable between plasmids through transposons, integrons, and recombination events, and contribute to the spread of AMR. Identified transferred fragments include a multi-resistant complex class 1 integron in Escherichia coli and Klebsiella pneumoniae, and a region encoding tetracycline resistance transferred through recombination in Enterococcus faecalis. AVAILABILITY AND IMPLEMENTATION: The code developed in this work is available at https://github.com/AbeelLab/plasmidHGT.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliGene Transfer, HorizontalIntegronsPhylogenyPlasmidsAnti-Bacterial Agents

Identifiers

PMID37796811
PMCPMC10598575
OpenAlexW4387378900

What OpenQuestion holds

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LicenceCC BY
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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.