Evidence map›Paper›PMID 39806487›Full record

ArticleEnvironmental microbiome2025

Prophage-DB: a comprehensive database to explore diversity, distribution, and ecology of prophages.

Etan Dieppa-Colón, Cody Martin, James C Kosmopoulos, Karthik Anantharaman

Abstract read
In one paragraph

Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. Genomic characterization and niche adaptive analysis ofFrontiers in cellular and infection microbiology · 2026
    Article
  8. Article
  9. Review
  10. Single cell viral tagging ofGut microbes · 2025
    Article
  11. The Potential Roles of Prophages in the Pathogenicity ofAntibiotics (Basel, Switzerland) · 2025
    Article
  12. Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Etan Dieppa-ColónDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Cody MartinDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
James C KosmopoulosDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.
Karthik AnantharamanDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA. karthik@bact.wisc.edu.

Funding

Biotechnology Training ProgramT32GM135066 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE, BRIAN G FOX · 2020 to 2026
$7.0M
COMPUTATIONAL FRAMEWORKS FOR PHAGE DISCOVERY, ECOLOGY, AND DYNAMICS FROM METAGENOMESR35GM143024 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI ANANTHARAMAN, KARTHIK · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM143024NIGMS NIH HHS R35GM143024NIGMS NIH HHS T32 GM135066NIGMS NIH HHS T32GM135066
6 · The paper itself

Abstract

backgroundViruses that infect prokaryotes (phages) constitute the most abundant group of biological agents, playing pivotal roles in microbial systems. They are known to impact microbial community dynamics, microbial ecology, and evolution. Efforts to document the diversity, host range, infection dynamics, and effects of bacteriophage infection on host cell metabolism are extremely underexplored. Phages are classified as virulent or temperate based on their life cycles. Temperate phages adopt the lysogenic mode of infection, where the genome integrates into the host cell genome forming a prophage. Prophages enable viral genome replication without host cell lysis, and often contribute novel and beneficial traits to the host genome. Current phage research predominantly focuses on lytic phages, leaving a significant gap in knowledge regarding prophages, including their biology, diversity, and ecological roles.

resultsHere we develop and describe Prophage-DB, a database of prophages, their proteins, and associated metadata that will serve as a resource for viral genomics and microbial ecology. To create the database, we identified and characterized prophages from genomes in three of the largest publicly available databases. We applied several state-of-the-art tools in our pipeline to annotate these viruses, cluster them, taxonomically classify them, and detect their respective auxiliary metabolic genes. In total, we identify and characterize over 350,000 prophages and 35,000 auxiliary metabolic genes. Our prophage database is highly representative based on statistical results and contains prophages from a diverse set of archaeal and bacterial hosts which show a wide environmental distribution.

conclusionGiven that prophages are particularly overlooked and merit increased attention due to their vital implications for microbiomes and their hosts, we created Prophage-DB to advance our understanding of prophages in microbiomes through a comprehensive characterization of prophages in publicly available genomes. We propose that Prophage-DB will serve as a valuable resource for advancing phage research, offering insights into viral taxonomy, host relationships, auxiliary metabolic genes, and environmental distribution.

Identifiers

PMID39806487
PMCPMC11730488

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LicenceCC BY
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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.