Evidence map›Paper›PMID 34524891›Full record

ArticleJournal of clinical microbiology2021

Genomic Epidemiology and Strain Taxonomy of

Julien Guglielmini, Melanie Hennart, Edgar Badell, Julie Toubiana, Alexis Criscuolo, Sylvain Brisse

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Complete genome of aMicrobiology resource announcements · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Fulminant infective endocarditis with toxin-negativeEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  10. Article
  11. Article
  12. Outbreak ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Article
  13. Article
  14. Article
  15. Corynebacteria of theMicrobiology spectrum · 2023
    Article
  16. Article
  17. Article
  18. Multidrug-resistant toxigenicMicrobial genomics · 2023
    Article
  19. 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.

Julien GuglielminiInstitut Pasteurgrid.428999.7, Université de Paris, Bioinformatics and Biostatistics Hub, Department of Computational Biology, Paris, France.
Melanie HennartInstitut Pasteurgrid.428999.7, Université de Paris, Biodiversity and Epidemiology of Bacterial Pathogens, Paris, France.
Edgar BadellInstitut Pasteurgrid.428999.7, Université de Paris, Biodiversity and Epidemiology of Bacterial Pathogens, Paris, France.
Julie ToubianaInstitut Pasteurgrid.428999.7, Université de Paris, Biodiversity and Epidemiology of Bacterial Pathogens, Paris, France.
Alexis CriscuoloInstitut Pasteurgrid.428999.7, Université de Paris, Bioinformatics and Biostatistics Hub, Department of Computational Biology, Paris, France.
Sylvain BrisseInstitut Pasteurgrid.428999.7, Université de Paris, Biodiversity and Epidemiology of Bacterial Pathogens, Paris, France.ORCID 0000-0002-2516-2108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corynebacterium diphtheriae is highly transmissible and can cause large diphtheria outbreaks where vaccination coverage is insufficient. Sporadic cases or small clusters are observed in high-vaccination settings. The phylogeography and short timescale evolution of C. diphtheriae are not well understood, in part due to a lack of harmonized analytical approaches of genomic surveillance and strain tracking. We combined 1,305 genes with highly reproducible allele calls into a core genome multilocus sequence typing (cgMLST) scheme. We analyzed cgMLST gene diversity among 602 isolates from sporadic clinical cases, small clusters, or large outbreaks. We defined sublineages based on the phylogenetic structure within C. diphtheriae and strains based on the highest number of cgMLST mismatches within documented outbreaks. We performed time-scaled phylogenetic analyses of major sublineages. The cgMLST scheme showed high allele call rate in C. diphtheriae and the closely related species C. belfantii and C. rouxii. We demonstrate its utility to delineate epidemiological case clusters and outbreaks using a 25 mismatches threshold and reveal a number of cryptic transmission chains, most of which are geographically restricted to one or a few adjacent countries. Subcultures of the vaccine strain PW8 differed by up to 20 cgMLST mismatches. Phylogenetic analyses revealed a short-timescale evolutionary gain or loss of the diphtheria toxin and biovar-associated genes. We devised a genomic taxonomy of strains and deeper sublineages (defined using a 500-cgMLST-mismatch threshold), currently comprising 151 sublineages, only a few of which are geographically widespread based on current sampling. The cgMLST genotyping tool and nomenclature was made publicly accessible (https://bigsdb.pasteur.fr/diphtheria). Standardized genome-scale strain genotyping will help tracing transmission and geographic spread of C. diphtheriae. The unified genomic taxonomy of C. diphtheriae strains provides a common language for studies of ecology, evolution, and virulence heterogeneity among C. diphtheriae sublineages.

Indexed as

Corynebacterium diphtheriaeDiphtheriaGenome, BacterialGenomicsHumansMultilocus Sequence TypingPhylogenycgMLSTdiphtheriaepidemiologygenomic epidemiologygenomicsmicroevolution

Identifiers

PMID34524891
PMCPMC8601238

What OpenQuestion holds

Textmetadata
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.