Evidence map›Paper›PMID 26818676›Full record

ArticleJournal of clinical microbiology2016

Detecting Staphylococcus aureus Virulence and Resistance Genes: a Comparison of Whole-Genome Sequencing and DNA Microarray Technology.

Lena Strauß, Ulla Ruffing, Salim Abdulla, Abraham Alabi, Ruslan Akulenko, Marcelino Garrine, Anja Germann, Martin Peter Grobusch, Volkhard Helms, Mathias Herrmann and 7 more

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Genetic Characterization of Antibiotic-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  6. Whole genome sequencing and molecular epidemiology of methicillin-resistant Staphylococcus aureus isolated from patients with bacteraemia in Slovenia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  7. Article
  8. Article
  9. Prospective surveillance of colonization and disease by methicillin-resistant Staphylococcus aureus (MRSA) at a European pediatric cancer center.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Observational
  10. Importance ofThe Journal of international medical research · 2022
    Article
  11. Virulence Determinants inFrontiers in microbiology · 2022
    Article
  12. Epidemiology of the Staphylococcus aureus CA-MRSA USA300 in Belgium.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  13. Molecular Characterization ofPathogens (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Coagulase-Negative Staphylococci Pathogenomics.International journal of molecular sciences · 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

17 authors at 8 institutions in 5 countries.

Lena StraußInstitute of Hygiene, Westphalian Wilhelms-University, Münster, Germany.
Ulla RuffingInstitute of Medical Microbiology and Hygiene, University of Saarland, Homburg, Germany.
Salim AbdullaIfakara Health Research and Development Centre, Bagamoyo, Tanzania.
Abraham AlabiAlbert Schweitzer Hospital, Lambaréné, Gabon Institute of Tropical Medicine, Eberhard Karls University, Tübingen, Germany.
Ruslan AkulenkoCenter for Bioinformatics, University of Saarland, Saarbrücken, Germany.
Marcelino GarrineManhiça Health Research Centre, Manhiça, Mozambique.
Anja GermannFraunhofer Institute for Biomedical Engineering, Sulzbach, Germany.
Martin Peter GrobuschInstitute of Tropical Medicine, Eberhard Karls University, Tübingen, Germany Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Amsterdam Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Volkhard HelmsCenter for Bioinformatics, University of Saarland, Saarbrücken, Germany.
Mathias HerrmannInstitute of Medical Microbiology and Hygiene, University of Saarland, Homburg, Germany.
Theckla KazimotoIfakara Health Research and Development Centre, Bagamoyo, Tanzania.
Winfried KernDivision of Infectious Diseases, Department of Medicine, University of Freiburg, Freiburg, Germany.
Inácio MandomandoManhiça Health Research Centre, Manhiça, Mozambique.
Georg PetersInstitute of Medical Microbiology, Westphalian Wilhelms-University, Münster, Germany.
Frieder SchaumburgInstitute of Medical Microbiology, Westphalian Wilhelms-University, Münster, Germany.
Lutz von MüllerInstitute of Medical Microbiology and Hygiene, University of Saarland, Homburg, Germany.
Alexander MellmannInstitute of Hygiene, Westphalian Wilhelms-University, Münster, Germany mellmann@uni-muenster.de.ORCID http://orcid.org/0000-0002-0649-5185
Institute of Medical Microbiology and Hygiene · DEIfakara Health Institute · TZManhiça Health Research Centre · MZSaarland University · DEAlbert Schweitzer Hospital · GAFraunhofer Institute for Biomedical Engineering · DEUniversity of Freiburg · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureusis a major bacterial pathogen causing a variety of diseases ranging from wound infections to severe bacteremia or intoxications. Besides host factors, the course and severity of disease is also widely dependent on the genotype of the bacterium. Whole-genome sequencing (WGS), followed by bioinformatic sequence analysis, is currently the most extensive genotyping method available. To identify clinically relevant staphylococcal virulence and resistance genes in WGS data, we developed anin silicotyping scheme for the software SeqSphere(+)(Ridom GmbH, Münster, Germany). The implemented target genes (n= 182) correspond to those queried by the IdentibacS. aureusGenotyping DNA microarray (Alere Technologies, Jena, Germany). Thein silicoscheme was evaluated by comparing the typing results of microarray and of WGS for 154 humanS. aureusisolates. A total of 96.8% (n= 27,119) of all typing results were equally identified with microarray and WGS (40.6% present and 56.2% absent). Discrepancies (3.2% in total) were caused by WGS errors (1.7%), microarray hybridization failures (1.3%), wrong prediction of ambiguous microarray results (0.1%), or unknown causes (0.1%). Superior to the microarray, WGS enabled the distinction of allelic variants, which may be essential for the prediction of bacterial virulence and resistance phenotypes. Multilocus sequence typing clonal complexes and staphylococcal cassette chromosomemecelement types inferred from microarray hybridization patterns were equally determined by WGS. In conclusion, WGS may substitute array-based methods due to its universal methodology, open and expandable nature, and rapid parallel analysis capacity for different characteristics in once-generated sequences.

Indexed as

Bacteriological TechniquesGenome, BacterialGenotypeGermanyHealthy VolunteersHumansMolecular TypingOligonucleotide Array Sequence AnalysisSequence Analysis, DNAStaphylococcal InfectionsStaphylococcus aureusVirulenceVirulence FactorsVirulence Factors

Identifiers

PMID26818676
PMCPMC4809937
OpenAlexW2326710996

What OpenQuestion holds

Textmetadata
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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.