Evidence map›Paper›PMID 28286183›Full record

ArticlePlasmid2017

Ordering the mob: Insights into replicon and MOB typing schemes from analysis of a curated dataset of publicly available plasmids.

Alex Orlek, Hang Phan, Anna E Sheppard, Michel Doumith, Matthew Ellington, Tim Peto, Derrick Crook, A Sarah Walker, Neil Woodford, Muna F Anjum and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Plasmid, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

47 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Plasmid diversity ofMicrobiology spectrum · 2025
    Article
  5. Towards quantifying plasmid similarity.Microbial genomics · 2024
    Review
  6. Article
  7. Phenotypic and Molecular Characterization of Hypervirulent and Multidrug-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Article
  8. Article
  9. Systematic analysis of plasmids of theMicrobial genomics · 2023
    Article
  10. Article
  11. Conjugative Plasmid pPPUT-Tik1-1 from a PermafrostInternational journal of molecular sciences · 2023
    Article
  12. A global survey ofMicrobial genomics · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

11 authors at 3 institutions in 1 country.

Alex OrlekNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK. Electronic address: alex.orlek@wolfson.ox.ac.uk.
Hang PhanNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
Anna E SheppardNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
Michel DoumithAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK.
Matthew EllingtonNIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK; Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK.
Tim PetoNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
Derrick CrookNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
A Sarah WalkerNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK.
Neil WoodfordNIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK; Antimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, UK.
Muna F AnjumNIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford, Oxford, UK; Department of Bacteriology, Animal and Plant Health Agency, Addlestone, UK.
Nicole StoesserNuffield Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
John Radcliffe Hospital · GBPublic Health England · GBAnimal and Plant Health Agency · GB

Funding

Department of Health HPRU-2012-10041
6 · The paper itself

Abstract

Plasmid typing can provide insights into the epidemiology and transmission of plasmid-mediated antibiotic resistance. The principal plasmid typing schemes are replicon typing and MOB typing, which utilize variation in replication loci and relaxase proteins respectively. Previous studies investigating the proportion of plasmids assigned a type by these schemes ('typeability') have yielded conflicting results; moreover, thousands of plasmid sequences have been added to NCBI in recent years, without consistent annotation to indicate which sequences represent complete plasmids. Here, a curated dataset of complete Enterobacteriaceae plasmids from NCBI was compiled, and used to assess the typeability and concordance of in silico replicon and MOB typing schemes. Concordance was assessed at hierarchical replicon type resolutions, from replicon family-level to plasmid multilocus sequence type (pMLST)-level, where available. We found that 85% and 65% of the curated plasmids could be replicon and MOB typed, respectively. Overall, plasmid size and the number of resistance genes were significant independent predictors of replicon and MOB typing success. We found some degree of non-concordance between replicon families and MOB types, which was only partly resolved when partitioning plasmids into finer-resolution groups (replicon and pMLST types). In some cases, non-concordance was attributed to ambiguous boundaries between MOBP and MOBQ types; in other cases, backbone mosaicism was considered a more plausible explanation. β-lactamase resistance genes tended not to show fidelity to a particular plasmid type, though some previously reported associations were supported. Overall, replicon and MOB typing schemes are likely to continue playing an important role in plasmid analysis, but their performance is constrained by the diverse and dynamic nature of plasmid genomes.

Indexed as

PhylogenyRepliconAnti-Bacterial AgentsBacterial ProteinsBacterial Typing Techniquesbeta-Lactamasesbeta-Lactam Resistancebeta-LactamsDatabases, GeneticDatasets as TopicEndodeoxyribonucleasesEnterobacteriaceaeGene ExpressionMosaicismPlasmidsAnti-Bacterial AgentsBacterial Proteinsbeta-Lactamasesbeta-LactamsEndodeoxyribonucleasesMobM protein, bacteriaAntibiotic resistanceMOB typingPlasmid databasePlasmid multilocus sequence typingReplicon typing

Identifiers

PMID28286183
PMCPMC5466382
OpenAlexW2594414408

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.