Evidence map›Paper›PMID 37463935›Full record

ArticleNature communications2023

Characterization of crAss-like phage isolates highlights Crassvirales genetic heterogeneity and worldwide distribution.

María Dolores Ramos-Barbero, Clara Gómez-Gómez, Laura Sala-Comorera, Lorena Rodríguez-Rubio, Sara Morales-Cortes, Elena Mendoza-Barberá, Gloria Vique, Daniel Toribio-Avedillo, Anicet R Blanch, Elisenda Ballesté and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Gut virome dynamics: from commensal to critical player in health and disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  8. Article
  9. Genome-based taxonomic classification ofFrontiers in microbiology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. The Microbiome and Metabolic Dysfunction-Associated Steatotic Liver Disease.International journal of molecular sciences · 2025
    Review
  17. Identification and characterization ofMicrobiology spectrum · 2025
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

María Dolores Ramos-Barbero *Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.
Clara Gómez-Gómez *Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.
Laura Sala-Comorera *Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.
Lorena Rodríguez-RubioDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.ORCID http://orcid.org/0000-0002-7846-4791
Sara Morales-CortesDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.
Elena Mendoza-BarberáDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.ORCID http://orcid.org/0000-0002-6374-4125
Gloria ViqueDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.ORCID http://orcid.org/0000-0002-0584-7302
Daniel Toribio-AvedilloDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4698-5485
Anicet R BlanchDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.ORCID http://orcid.org/0000-0002-7632-6758
Elisenda BallestéDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2523-8464
Cristina Garcia-AljaroDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain.
Maite MuniesaDepartament de Genètica, Microbiologia i Estadística, Universitat de Barcelona, Diagonal 643. Annex. Floor 0, E-08028, Barcelona, Spain. mmuniesa@ub.edu.ORCID http://orcid.org/0000-0001-5549-1394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crassvirales (crAss-like phages) are an abundant group of human gut-specific bacteriophages discovered in silico. The use of crAss-like phages as human fecal indicators is proposed but the isolation of only seven cultured strains of crAss-like phages to date has greatly hindered their study. Here, we report the isolation and genetic characterization of 25 new crAss-like phages (termed crAssBcn) infecting Bacteroides intestinalis, belonging to the order Crassvirales, genus Kehishuvirus and, based on their genomic variability, classified into six species. CrAssBcn phage genomes are similar to ΦCrAss001 but show genomic and aminoacidic differences when compared to other crAss-like phages of the same family. CrAssBcn phages are detected in fecal metagenomes around the world at a higher frequency than ΦCrAss001. This study increases the known crAss-like phage isolates and their abundance and heterogeneity open the question of what member of the Crassvirales group should be selected as human fecal marker.

Indexed as

BacteriophagesFecesGenetic HeterogeneityGenome, ViralGenomicsHumansMetagenomePhylogeny

Identifiers

PMID37463935
PMCPMC10354031

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.