Evidence map›Paper›PMID 32878926›Full record

ArticlemSphere2020

The Association between Insertion Sequences and Antibiotic Resistance Genes.

Mohammad Razavi, Erik Kristiansson, Carl-Fredrik Flach, D G Joakim Larsson

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
5.0field-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

63 citing papers in PubMed, 138 citations in OpenAlex.

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  19. Experimental evolution ofMicrobiology spectrum · 2025
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3 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.

Mohammad RazaviCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.
Erik KristianssonCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.
Carl-Fredrik FlachCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.
D G Joakim LarssonCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden joakim.larsson@fysiologi.gu.se.ORCID 0000-0002-5496-0328
University of Gothenburg · SEChalmers University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insertion sequences (ISs) are abundant mobile genetic elements on bacterial genomes, responsible for mobilization of many genes, including antibiotic resistance genes (ARGs). As ARGs often occur in similar genetic contexts, understanding which ISs tend to be associated with known ARGs could be a first step toward discovering novel ARGs through predictive or experimental strategies. This could be valuable, as early identification of ARGs in pathogens could facilitate surveillance, confinement actions, molecular diagnostics, and drug development. Here, we present a comprehensive analysis of the association of specific ISs with known ARGs. A large collection of bacterial genomes was used to characterize the immediate context of 2,437 known ARGs and 3,768 ISs. While many ARGs were consistently found close to specific ISs, the contexts around all ISs were more variable. Nevertheless, a subset of individual ISs, as well as tentative composite transposons, showed significant associations with ARGs. These included, e.g., insertion sequences classified as IS

Indexed as

Genome, BacterialMetagenomeMutagenesis, InsertionalAnti-Bacterial AgentsBacteriaDrug Resistance, MicrobialAnti-Bacterial Agentsantibiotic resistancebacterial genomesenvironmentinsertion sequencesmetagenomicsresistome

Identifiers

PMID32878926
PMCPMC7471000
OpenAlexW3081839562

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.