Evidence map›Paper›PMID 29482499›Full record

ArticleBMC genomics2018

Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations.

Barakat A Al Suwayyid, Geoffrey W Coombs, David J Speers, Julie Pearson, Michael J Wise, Charlene M Kahler

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

17 citing papers in PubMed.

  1. Article
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  3. There are three majorMicrobial genomics · 2023
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  8. Typing ofAntimicrobial agents and chemotherapy · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A Whole-genome Sequencing Analysis ofEClinicalMedicine · 2019
    Article
  17. 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

6 authors.

Barakat A Al SuwayyidThe Marshall Centre for Infectious Diseases Research and Training, The University of Western Australia, Crawley, Australia.
Geoffrey W CoombsSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, Australia.
David J SpeersDepartment of Microbiology, Pathwest Laboratory Medicine WA, Queen Elizabeth II Medical Centre, Nedlands, Australia.
Julie PearsonDepartment of Microbiology, Pathwest Laboratory Medicine WA, Fiona Stanley Hospital, Murdoch, Australia.
Michael J WiseThe Marshall Centre for Infectious Diseases Research and Training, The University of Western Australia, Crawley, Australia.
Charlene M KahlerThe Marshall Centre for Infectious Diseases Research and Training, The University of Western Australia, Crawley, Australia. charlene.kahler@uwa.edu.au.

Funding

National Health and Medical Research Council APP1078642
6 · The paper itself

Abstract

backgroundNeisseria gonorrhoeae causes gonorrhoea, the second most commonly notified sexually transmitted infection in Australia. One of the highest notification rates of gonorrhoea is found in the remote regions of Western Australia (WA). Unlike isolates from the major Australian population centres, the remote community isolates have low rates of antimicrobial resistance (AMR). Population structure and whole-genome comparison of 59 isolates from the Western Australian N. gonorrhoeae collection were used to investigate relatedness of isolates cultured in the metropolitan and remote areas. Core genome phylogeny, multilocus sequencing typing (MLST), N. gonorrhoeae multi-antigen sequence typing (NG-MAST) and N. gonorrhoeae sequence typing for antimicrobial resistance (NG-STAR) in addition to hierarchical clustering of sequences were used to characterize the isolates.

resultsPopulation structure analysis of the 59 isolates together with 72 isolates from an international collection, revealed six population groups suggesting that N. gonorrhoeae is a weakly clonal species. Two distinct population groups, Aus1 and Aus2, represented 63% of WA isolates and were mostly composed of the remote community isolates that carried no chromosomal AMR genotypes. In contrast, the Western Australian metropolitan isolates were frequently multi-drug resistant and belonged to population groups found in the international database, suggesting international transmission of the isolates.

conclusionsOur study suggests that the population structure of N. gonorrhoeae is distinct between the communities in remote and metropolitan WA. Given the high rate of AMR in metropolitan regions, ongoing surveillance is essential to ensure the enduring efficacy of the empiric gonorrhoea treatment in remote WA.

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsCluster AnalysisDNA, BacterialEndemic DiseasesGenomicsGonorrheaHumansMolecular EpidemiologyMultilocus Sequence TypingNeisseria gonorrhoeaePhylogenyWestern AustraliaWhole Genome SequencingAnti-Bacterial AgentsDNA, BacterialAustraliaGonorrhoeaNeisseria gonorrhoeaePopulation structureWestern AustraliaWhole genome sequencing

Identifiers

PMID29482499
PMCPMC6889462

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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.