Evidence map›Paper›PMID 32375974›Full record

ArticleMicrobial genomics2020

Identification of integrative and conjugative elements in pathogenic and commensal

Alex Hughes-Games, Adam P Roberts, Sean A Davis, Darryl J Hill

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. International journal of systematic and evolutionary microbiology · 2024
    Article
  4. Article
  5. Review
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.

Alex Hughes-GamesSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
Adam P RobertsCentre for Drugs and Diagnostics, Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Sean A DavisSchool of Chemistry, University of Bristol, Bristol, UK.
Darryl J HillSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
University of Bristol · GBLiverpool School of Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile genetic elements (MGEs) are key factors responsible for dissemination of virulence determinants and antimicrobial-resistance genes amongst pathogenic bacteria. Conjugative MGEs are notable for their high gene loads donated per transfer event, broad host ranges and phylogenetic ubiquity amongst prokaryotes, with the subclass of chromosomally inserted integrative and conjugative elements (ICEs) being particularly abundant. The focus on a small number of model systems has biased the study of ICEs towards those conferring readily selectable phenotypes to host cells, whereas the identification and characterization of integrated cryptic elements remains challenging. Even though antimicrobial resistance and horizontally acquired virulence genes are major factors aggravating neisserial infection, conjugative MGEs of

Indexed as

DNA Transposable ElementsChromosomes, BacterialConjugation, GeneticDrug Resistance, Multiple, BacterialEvolution, MolecularGene Transfer, HorizontalHigh-Throughput Nucleotide SequencingNeisseriaceaePhenotypePhylogenyPlasmidsSequence Analysis, DNASymbiosisVirulence FactorsVocabularyDNA Transposable ElementsVirulence Factorscommensal neisseriaDNA uptake sequencehorizontal gene transferintegrative and conjugative elementsmobile genetic elementsNeisseria

Identifiers

PMID32375974
PMCPMC7371117
OpenAlexW3023958583

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.