Evidence map›Paper›PMID 33799479›Full record

ArticleMicroorganisms2021

Outcome of Different Sequencing and Assembly Approaches on the Detection of Plasmids and Localization of Antimicrobial Resistance Genes in Commensal

Katharina Juraschek, Maria Borowiak, Simon H Tausch, Burkhard Malorny, Annemarie Käsbohrer, Saria Otani, Stefan Schwarz, Diana Meemken, Carlus Deneke, Jens Andre Hammerl

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. ACCIO: An Assembly-Based Tool Enabling Plasmid Detection.medRxiv : the preprint server for health sciences · 2025
    Article
  5. Origin and development of twoMicrobial genomics · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  17. Article
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  19. Article
  20. Phylodynamics Uncovers the Transmission of Antibiotic-ResistantbioRxiv : the preprint server for biology · 2023
    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

10 authors.

Katharina JuraschekEpidemiology, Zoonoses and Antimicrobial Resistance, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.
Maria BorowiakStudy Centre for Genome Sequencing and Analysis, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.
Simon H TauschStudy Centre for Genome Sequencing and Analysis, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-6874-233X
Burkhard MalornyStudy Centre for Genome Sequencing and Analysis, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-3363-8225
Annemarie KäsbohrerEpidemiology, Zoonoses and Antimicrobial Resistance, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0003-2966-2713
Saria OtaniDTU Food, National Food Institute, Technical University of Denmark, Kemitorvet, Building 204, 2800 Kgs Lyngby, Denmark.
Stefan SchwarzInstitute of Microbiology and Epizootics, Department of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany.ORCID 0000-0002-6303-8212
Diana MeemkenInstitute of Food Safety and Food Hygiene, Working Group Meat Hygiene, Department of Veterinary Medicine, Freie Universität Berlin, 14163 Berlin, Germany.ORCID 0000-0002-4824-048X
Carlus DenekeStudy Centre for Genome Sequencing and Analysis, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.
Jens Andre HammerlEpidemiology, Zoonoses and Antimicrobial Resistance, German Federal Institute for Risk Assessment (BfR), Max-Dohrn Str. 8-10, 10589 Berlin, Germany.ORCID 0000-0002-6930-4358

Funding

Horizon 2020 Framework Programme 773830
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a major threat to public health worldwide. Currently, AMR typing changes from phenotypic testing to whole-genome sequence (WGS)-based detection of resistance determinants for a better understanding of the isolate diversity and elements involved in gene transmission (e.g., plasmids, bacteriophages, transposons). However, the use of WGS data in monitoring purposes requires suitable techniques, standardized parameters and approved guidelines for reliable AMR gene detection and prediction of their association with mobile genetic elements (plasmids). In this study, different sequencing and assembly strategies were tested for their suitability in AMR monitoring in

Indexed as

AMRhybrid assemblylong-read sequencingmobile genetic elementsqnrSshort-read sequencing

Identifiers

PMID33799479
PMCPMC8000739

What OpenQuestion holds

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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.