Evidence map›Paper›PMID 33677572›Full record

ArticleNucleic acids research2021

Streamlining CRISPR spacer-based bacterial host predictions to decipher the viral dark matter.

Moïra B Dion, Pier-Luc Plante, Edwige Zufferey, Shiraz A Shah, Jacques Corbeil, Sylvain Moineau

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
–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

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
  6. Genomic landscape of 340 virulent Acinetobacter bacteriophages reveals anti-CRISPR-enriched candidates for therapeutic prioritization.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  7. Article
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  9. Article
  10. Review
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  14. Molecular kinetics dictate population dynamics in CRISPR-based plasmid defense.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Gut virome dynamics: from commensal to critical player in health and disease.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  17. Article
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  19. Article
  20. Article

16 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

6 authors.

Moïra B DionDépartement de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec City, Québec G1V 0A6, Canada.
Pier-Luc PlanteCentre de recherche en infectiologie de l'Université Laval, Axe maladies infectieuses et immunitaires, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec G1V 4G2, Canada.
Edwige ZuffereyDépartement de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec City, Québec G1V 0A6, Canada.
Shiraz A ShahCOPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Gentofte 2820, Denmark.
Jacques CorbeilCentre de recherche en infectiologie de l'Université Laval, Axe maladies infectieuses et immunitaires, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec G1V 4G2, Canada.
Sylvain MoineauDépartement de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec City, Québec G1V 0A6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thousands of new phages have recently been discovered thanks to viral metagenomics. These phages are extremely diverse and their genome sequences often do not resemble any known phages. To appreciate their ecological impact, it is important to determine their bacterial hosts. CRISPR spacers can be used to predict hosts of unknown phages, as spacers represent biological records of past phage-bacteria interactions. However, no guidelines have been established to standardize host prediction based on CRISPR spacers. Additionally, there are no tools that use spacers to perform host predictions on large viral datasets. Here, we developed a set of tools that includes all the necessary steps for predicting the hosts of uncharacterized phages. We created a database of >11 million spacers and a program to execute host predictions on large viral datasets. Our host prediction approach uses biological criteria inspired by how CRISPR-Cas naturally work as adaptive immune systems, which make the results easy to interpret. We evaluated the performance using 9484 phages with known hosts and obtained a recall of 49% and a precision of 69%. We also found that this host prediction method yielded higher performance for phages that infect gut-associated bacteria, suggesting it is well suited for gut-virome characterization.

Indexed as

BacteriophagesClustered Regularly Interspaced Short Palindromic RepeatsDatabases, Nucleic AcidGenome, BacterialGastrointestinal TractInternetMetagenomicsSoftware

Identifiers

PMID33677572
PMCPMC8034630

What OpenQuestion holds

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LicenceCC BY
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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.