Evidence map›Paper›PMID 35087053›Full record

ArticleNature communications2022

Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing.

Iman Yassine, Sophie Lefèvre, Elisabeth E Hansen, Corinne Ruckly, Isabelle Carle, Monique Lejay-Collin, Laëtitia Fabre, Rayane Rafei, Dominique Clermont, Maria Pardos de la Gandara and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 34 citations in OpenAlex.

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  2. Genomic and epidemiological characteristics ofPathogens and global health · 2025
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  5. Genome sequencing of an ESBL-producingMicrobiology resource announcements · 2025
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  8. Cross-border outbreak ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  9. Understanding the population structure ofbioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Genomic analysis ofMicrobial genomics · 2023
    Article
  16. Article
  17. Article
  18. ShigaPass: anMicrobial genomics · 2023
    Article
  19. Article
  20. Analysis of Genetic Relatedness between Gastric and OralInternational journal of molecular sciences · 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

13 authors at 4 institutions in 4 countries.

Iman YassineInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.ORCID http://orcid.org/0000-0003-1865-4179
Sophie LefèvreInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.ORCID http://orcid.org/0000-0002-3065-6591
Elisabeth E HansenInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.ORCID http://orcid.org/0000-0002-5688-4736
Corinne RucklyInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.
Isabelle CarleInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.
Monique Lejay-CollinInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.
Laëtitia FabreInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.
Rayane RafeiLaboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Dominique ClermontInstitut Pasteur, Université de Paris, Collection de l'Institut Pasteur, F-75015, Paris, France.ORCID http://orcid.org/0000-0002-6018-2462
Maria Pardos de la GandaraInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France.ORCID http://orcid.org/0000-0002-3273-6392
Fouad DabboussiLaboratoire Microbiologie Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
Nicholas R ThomsonWellcome Sanger Institute, Cambridge, CB10 1SA, UK.ORCID http://orcid.org/0000-0002-4432-8505
François-Xavier WeillInstitut Pasteur, Université de Paris, Unité des bactéries pathogènes entériques, Centre National de Référence des Escherichia coli, Shigella et Salmonella, Paris, F-75015, France. francois-xavier.weill@pasteur.fr.ORCID http://orcid.org/0000-0001-9941-5799
Institut Pasteur · FRLebanese University · LBHarvard University · USUniversity of London · GB

Funding

Wellcome Trust 206194
6 · The paper itself

Abstract

The laboratory surveillance of bacillary dysentery is based on a standardised Shigella typing scheme that classifies Shigella strains into four serogroups and more than 50 serotypes on the basis of biochemical tests and lipopolysaccharide O-antigen serotyping. Real-time genomic surveillance of Shigella infections has been implemented in several countries, but without the use of a standardised typing scheme. Here, we study over 4000 reference strains and clinical isolates of Shigella, covering all serotypes, with both the current serotyping scheme and the standardised EnteroBase core-genome multilocus sequence typing scheme (cgMLST). The Shigella genomes are grouped into eight phylogenetically distinct clusters, within the E. coli species. The cgMLST hierarchical clustering (HC) analysis at different levels of resolution (HC2000 to HC400) recognises the natural population structure of Shigella. By contrast, the serotyping scheme is affected by horizontal gene transfer, leading to a conflation of genetically unrelated Shigella strains and a separation of genetically related strains. The use of this cgMLST scheme will facilitate the transition from traditional phenotypic typing to routine whole-genome sequencing for the laboratory surveillance of Shigella infections.

Indexed as

Genome, BacterialDisease OutbreaksEscherichia coliGenotypeHumansMolecular EpidemiologyMultigene FamilyMultilocus Sequence TypingPhylogenyShigellaWhole Genome Sequencing

Identifiers

PMID35087053
PMCPMC8795385
OpenAlexW4210776816

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.