Evidence map›Paper›PMID 41188219›Full record

ArticleNature communications2025

Phage diversity mirrors bacterial strain diversity in the honey bee gut microbiota.

Malick Ndiaye, Germán Bonilla-Rosso, Florent Mazel, Philipp Engel

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Microbiome-Driven Risk Stratification and Biotherapeutics in Radiation Enteritis.Computational and structural biotechnology journal · 2026
    Review
  9. 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

4 authors.

Malick NdiayeDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0009-0007-4028-5409
Germán Bonilla-RossoDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Florent MazelDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland.
Philipp EngelDepartment of Fundamental Microbiology, University of Lausanne, Lausanne, Switzerland. philipp.engel@unil.ch.ORCID http://orcid.org/0000-0002-4678-6200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophages (phages) play a crucial role in shaping bacterial communities. Documenting the relationship between phage and bacterial diversity in natural systems is fundamental to understand eco-evolutionary dynamics that shape community composition, such as host specificity, emergence of phage resistance and phage-driven microbial diversification. However, our current understanding of this relationship is still limited, particularly in animal-associated microbiomes. Here, we analyze paired bacterial and viral metagenomics data from the gut microbiota of 49 individual honeybees and reconstruct the phage-bacteria interaction network by leveraging CRISPR spacer matches and genome homology. The resulting interaction network displays a highly modular structure with nested phage-bacteria interactions within each module. Viral and bacterial alpha and beta diversity are correlated, particularly at the bacterial strain level and when considering the interaction network. Overall, our results suggest that the most relevant approach to study phage-bacteria diversity patterns should rely on strain-level resolution and the explicit use of the interaction network. This may explain why previous studies have obtained mixed results when testing for phage-bacteria diversity correlations. Finally, we call for further studies building up on these correlation patterns to probe the underlying mechanisms by considering both bottom-up and top-down regulatory mechanisms in microbiome assembly.

Indexed as

BacteriaBacteriophagesGastrointestinal MicrobiomeAnimalsBeesBiodiversityMetagenomeMetagenomics

Identifiers

PMID41188219
PMCPMC12586679

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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.