Evidence map›Paper›PMID 24257207›Full record

ArticleAnnals of clinical microbiology and antimicrobials2013

Functional verification of computationally predicted qnr genes.

Carl-Fredrik Flach, Fredrik Boulund, Erik Kristiansson, Dg Joakim Larsson

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. A Novel, Integron-Regulated, Class C β-Lactamase.Antibiotics (Basel, Switzerland) · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Phenotypic and genotypic characteristics ofPorcine health management · 2019
    Article
  8. Article
  9. Article
  10. Review
  11. Occurrence ofGut pathogens · 2017
    Article
  12. Article
  13. Article
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.

Carl-Fredrik FlachDepartment of Infectious Diseases, University of Gothenburg, Gothenburg, Sweden. joakim.larsson@fysiologi.gu.se.
Fredrik Boulund
Erik Kristiansson
Dg Joakim Larsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quinolone resistance (qnr) genes are widely distributed among bacteria. We recently developed and applied probabilistic models to identify tentative novel qnr genes in large public collections of DNA sequence data including fragmented metagenomes.

findingsBy using inducible recombinant expressions systems the functionality of four identified qnr candidates were evaluated in Escherichia coli. Expression of several known qnr genes as well as two novel candidates provided fluoroquinolone resistance that increased with elevated inducer concentrations. The two novel, functionally verified qnr genes are termed Vfuqnr and assembled qnr 1. Co-expression of two qnr genes suggested non-synergistic action.

conclusionThe combination of a computational model and recombinant expression systems provides opportunities to explore and identify novel antibiotic resistance genes in both genomic and metagenomic datasets.

Indexed as

Anti-Bacterial AgentsComputational BiologyComputer SimulationDrug Resistance, BacterialEscherichia coliEscherichia coli ProteinsFluoroquinolonesMicrobial Sensitivity TestsMolecular Sequence DataAnti-Bacterial AgentsEscherichia coli ProteinsFluoroquinolonesQnr protein, E coli

Identifiers

PMID24257207
PMCPMC4222258

What OpenQuestion holds

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Registered trials

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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.