Evidence map›Paper›PMID 27575582›Full record

ArticleThe Journal of infection2016

Genomic analyses of Neisseria gonorrhoeae reveal an association of the gonococcal genetic island with antimicrobial resistance.

Odile B Harrison, Marianne Clemence, Joseph P Dillard, Christoph M Tang, David Trees, Yonatan H Grad, Martin C J Maiden

Abstract read
In one paragraph

Article in The Journal of infection, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. eLife · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Progression of antibiotic resistance inClinical microbiology reviews · 2025
    Review
  6. Article
  7. Mini-Multilocus Sequence Typing Scheme for the Global Population ofInternational journal of molecular sciences · 2024
    Article
  8. Review
  9. Antimicrobial susceptibility profile ofSexually transmitted infections · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Antibiotic Resistance inMicroorganisms · 2022
    Article
  16. Review
  17. Article
  18. Comparative Whole-Genome Analysis ofFrontiers in cellular and infection microbiology · 2022
    Article
  19. Article
  20. 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

7 authors.

Odile B HarrisonDepartment of Zoology, University of Oxford, Oxford, UK. Electronic address: odile.harrison@zoo.ox.ac.uk.
Marianne ClemenceDepartment of Zoology, University of Oxford, Oxford, UK.
Joseph P DillardDepartment of Medical Microbiology, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Christoph M TangSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
David TreesCenters for Disease Control and Prevention, Atlanta, GA, USA.
Yonatan H GradHarvard TH Chan School of Public Health, Boston, MA, USA; Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Martin C J MaidenDepartment of Zoology, University of Oxford, Oxford, UK.

Funding

Type IV Secretion by Neisseria gonorrhoeaeR01AI047958 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI DILLARD, JOSEPH P · 2002 to 2019
$5.0M
Genomic epidemiology of Neisseria gonorrhoeae with elevated MICs to cefiximeK08AI104767 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRAD, YONATAN H · 2013 to 2015
$547k
NIAID NIH HHS K08 AI104767NIAID NIH HHS R01 AI047958Wellcome Trust 087622
6 · The paper itself

Abstract

objectivesAntimicrobial resistance (AMR) threatens our ability to treat the sexually transmitted bacterial infection gonorrhoea. The increasing availability of whole genome sequence (WGS) data from Neisseria gonorrhoeae isolates, however, provides us with an opportunity in which WGS can be mined for AMR determinants.

methodsChromosomal and plasmid genes implicated in AMR were catalogued on the PubMLST Neisseria database (http://pubmlst.org/neisseria). AMR genotypes were identified in WGS from 289 gonococci for which MICs against several antimicrobial compounds had been determined. Whole genome comparisons were undertaken using whole genome MLST (wgMLST).

resultsClusters of isolates with distinct AMR genotypes were apparent following wgMLST analysis consistent with the occurrence of genome wide genetic variation. This included the presence of the gonococcal genetic island (GGI), a type 4 secretion system shown to increase recombination and for which possession was significantly associated with AMR to multiple antimicrobials.

conclusionsEvolution of the gonococcal genome occurs in response to antimicrobial selective pressure resulting in the formation of distinct N. gonorrhoeae populations evidenced by the wgMLST clusters seen here. Genomic islands offer selective advantages to host bacteria and possession of the GGI may, not only facilitate the spread of AMR in gonococcal populations, but may also confer fitness advantages.

Indexed as

Genomic IslandsAnti-Bacterial AgentsChromosomes, BacterialDrug Resistance, BacterialGenomicsGenotypeGonorrheaHigh-Throughput Nucleotide SequencingHumansMicrobial Sensitivity TestsMolecular Sequence AnnotationMultilocus Sequence TypingNeisseria gonorrhoeaePlasmidsType IV Secretion SystemsAnti-Bacterial AgentsType IV Secretion SystemsAntimicrobial resistanceGene-by-gene annotationType IV secretion systemWhole-genome sequencing

Identifiers

PMID27575582
PMCPMC5127880

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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.