Evidence map›Paper›PMID 26135865›Full record

ArticleJournal of clinical microbiology2015

Defining and Evaluating a Core Genome Multilocus Sequence Typing Scheme for Whole-Genome Sequence-Based Typing of Listeria monocytogenes.

Werner Ruppitsch, Ariane Pietzka, Karola Prior, Stefan Bletz, Haizpea Lasa Fernandez, Franz Allerberger, Dag Harmsen, Alexander Mellmann

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.

0numbers the graph read from it
0cells of the map it votes in
180citing 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

180 citing papers in PubMed.

  1. AEmerging microbes & infections · 2026
    Article
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  8. Closed genome sequences of clinicalMicrobiology resource announcements · 2026
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  9. Presence ofItalian journal of food safety · 2026
    Article
  10. Article
  11. Genetic characterization ofFrontiers in microbiology · 2026
    Article
  12. Article
  13. Genomic characterization ofApplied and environmental microbiology · 2025
    Article
  14. The European Union One Health 2024 Zoonoses Report.EFSA journal. European Food Safety Authority · 2025
    Article
  15. Listeriosis.Nature reviews. Disease primers · 2025
    Review
  16. Article
  17. Outbreak of listeriosis associated with consumption of deli meats in a hospital, Germany, February to March 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  18. Article
  19. Article
  20. Assessing mutation accumulation in DNA repair-deficientFrontiers in cellular and infection microbiology · 2025
    Article

120 more citing papers are in PubMed but not listed here.

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

8 authors.

Werner RuppitschGerman-Austrian Binational Consiliary Laboratory for Listeria, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria werner.ruppitsch@ages.at.
Ariane PietzkaGerman-Austrian Binational Consiliary Laboratory for Listeria, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Karola PriorDepartment for Periodontology, University Hospital Muenster, Muenster, Germany.
Stefan BletzInstitute of Hygiene, University Hospital Muenster, Muenster, Germany.
Haizpea Lasa FernandezGerman-Austrian Binational Consiliary Laboratory for Listeria, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Franz AllerbergerGerman-Austrian Binational Consiliary Laboratory for Listeria, Austrian Agency for Health and Food Safety (AGES), Vienna, Austria.
Dag HarmsenDepartment for Periodontology, University Hospital Muenster, Muenster, Germany.
Alexander MellmannInstitute of Hygiene, University Hospital Muenster, Muenster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has emerged today as an ultimate typing tool to characterize Listeria monocytogenes outbreaks. However, data analysis and interlaboratory comparability of WGS data are still challenging for most public health laboratories. Therefore, we have developed and evaluated a new L. monocytogenes typing scheme based on genome-wide gene-by-gene comparisons (core genome multilocus the sequence typing [cgMLST]) to allow for a unique typing nomenclature. Initially, we determined the breadth of the L. monocytogenes population based on MLST data with a Bayesian approach. Based on the genome sequence data of representative isolates for the whole population, cgMLST target genes were defined and reappraised with 67 L. monocytogenes isolates from two outbreaks and serotype reference strains. The Bayesian population analysis generated five L. monocytogenes groups. Using all available NCBI RefSeq genomes (n = 36) and six additionally sequenced strains, all genetic groups were covered. Pairwise comparisons of these 42 genome sequences resulted in 1,701 cgMLST targets present in all 42 genomes with 100% overlap and ≥90% sequence similarity. Overall, ≥99.1% of the cgMLST targets were present in 67 outbreak and serotype reference strains, underlining the representativeness of the cgMLST scheme. Moreover, cgMLST enabled clustering of outbreak isolates with ≤10 alleles difference and unambiguous separation from unrelated outgroup isolates. In conclusion, the novel cgMLST scheme not only improves outbreak investigations but also enables, due to the availability of the automatically curated cgMLST nomenclature, interlaboratory exchange of data that are crucial, especially for rapid responses during transsectorial outbreaks.

Indexed as

AnimalsFood MicrobiologyGenetic VariationGenome, BacterialGenotypeHumansListeria monocytogenesListeriosisMolecular EpidemiologyMultilocus Sequence Typing

Identifiers

PMID26135865
PMCPMC4540939

What OpenQuestion holds

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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.