Evidence map›Paper›PMID 20479200›Full record

ArticleAntimicrobial agents and chemotherapy2010

Two novel antibiotic resistance genes, tet(44) and ant(6)-Ib, are located within a transferable pathogenicity island in Campylobacter fetus subsp. fetus.

Carlos Abril, Isabelle Brodard, Vincent Perreten

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.3field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 71 citations in OpenAlex.

  1. Genetic characterization of gut-associatedFrontiers in microbiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bovine campylobacteriosis in bulls: insights in the conventional and molecular diagnosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  9. Antimicrobial resistance inMicrobial genomics · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Pathogenomics of EmergingClinical microbiology reviews · 2019
    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

3 authors at 1 institution in 1 country.

Carlos AbrilCentre for Zoonoses, Bacterial Animal Diseases and Antimicrobial Resistance, University of Berne, CH-3001 Bern, Switzerland.
Isabelle Brodard
Vincent Perreten
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New tetracycline and streptomycin resistance genes, tet(44) and ant(6)-Ib, were identified in Campylobacter fetus subsp. fetus within a transferable pathogenicity island that is typically unique to Campylobacter fetus subsp. venerealis. The 640-amino-acid tetracycline resistance determinant, Tet 44, belongs to a class of proteins that confers resistance to tetracycline and minocycline by ribosomal protection. The 286-amino-acid streptomycin resistance determinant, ANT(6)-Ib, belongs to a family of aminoglycoside nucleotidyltransferases. The resistance phenotypes were demonstrated by gene inactivation and expression.

Indexed as

Bacterial ProteinsCampylobacter fetusDrug Resistance, Multiple, BacterialGenomic IslandsMicrobial Sensitivity TestsMinocyclineMolecular Sequence DataNucleotidyltransferasesPhylogenyPolymerase Chain ReactionStreptomycinTetracycline ResistanceBacterial ProteinsMinocyclineNucleotidyltransferasesStreptomycin

Identifiers

PMID20479200
PMCPMC2897286
OpenAlexW2110029878

What OpenQuestion holds

Textmetadata
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.