Evidence map›Paper›PMID 31862382›Full record

ArticleCell host & microbe2020

A Bioinformatic Analysis of Integrative Mobile Genetic Elements Highlights Their Role in Bacterial Adaptation.

Matthew G Durrant, Michelle M Li, Benjamin A Siranosian, Stephen B Montgomery, Ami S Bhatt

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Cell host & microbe, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

129 citing papers in PubMed, 220 citations in OpenAlex.

  1. Article
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  4. Genomic Epidemiology of FoodborneAntibiotics (Basel, Switzerland) · 2026
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  17. Isolation and whole-genome characterization of multidrug-resistant Acinetobacter baumannii from Indian retail meat: unveiling high-risk clones and zoonotic transmission threats via comparative genomics.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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69 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Matthew G DurrantDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Michelle M LiDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Benjamin A SiranosianDepartment of Genetics, Stanford University, Stanford, CA 94305, USA.
Stephen B MontgomeryDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University, Stanford, CA 94305, USA.
Ami S BhattDepartment of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Medicine (Hematology, Blood and Marrow Transplantation) Stanford University, Stanford, CA 94305, USA. Electronic address: asbhatt@stanford.edu.
Stanford University · USStanford Blood Center · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Emerging novel mechanisms of antibiotic resistance in the prevalent foodborne pathogen, SalmonellaR01AI148623 · NIAID · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2019 to 2023
$2.0M
Sequence-based pathogen discovery in post-stem cell transplantation syndromesK08CA184420 · NCI · STANFORD UNIVERSITY · PI BHATT, AMI SIDDHARTH · 2014 to 2017
$524k
NCI NIH HHS K08 CA184420NCI NIH HHS P30 CA124435NHGRI NIH HHS T32 HG000044NIAID NIH HHS R01 AI148623
6 · The paper itself

Abstract

Mobile genetic elements (MGEs) contribute to bacterial adaptation and evolution; however, high-throughput, unbiased MGE detection remains challenging. We describe MGEfinder, a bioinformatic toolbox that identifies integrative MGEs and their insertion sites by using short-read sequencing data. MGEfinder identifies the genomic site of each MGE insertion and infers the identity of the inserted sequence. We apply MGEfinder to 12,374 sequenced isolates of 9 prevalent bacterial pathogens, including Mycobacterium tuberculosis, Staphylococcus aureus, and Escherichia coli, and identify thousands of MGEs, including candidate insertion sequences, conjugative transposons, and prophage elements. The MGE repertoire and insertion rates vary across species, and integration sites often cluster near genes related to antibiotic resistance, virulence, and pathogenicity. MGE insertions likely contribute to antibiotic resistance in laboratory experiments and clinical isolates. Additionally, we identified thousands of mobility genes, a subset of which have unknown function opening avenues for exploration. Future application of MGEfinder to commensal bacteria will further illuminate bacterial adaptation and evolution.

Indexed as

Adaptation, BiologicalBacteriaComputational BiologyDNA Transposable ElementsDrug Resistance, MicrobialProphagesVirulenceDNA Transposable Elementsadaptationantibiotic resistancebacteriabioinformaticsinsertion sequencesmobile genetic elementspathogenphagetransposable elementstransposon

Identifiers

PMID31862382
PMCPMC6952549
OpenAlexW2996118626

What OpenQuestion holds

Textmetadata
LicenceTDM
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.