Evidence map›Paper›PMID 41660861›Full record

ArticlemBio2026

Efficient detection and typing of phage-plasmids.

Karina Ilchenko, Remy A Bonnin, Eduardo P C Rocha, Eugen Pfeifer

Abstract read
In one paragraph

Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Karina IlchenkoUniversité Paris-Saclay, INRAE, AgroParisTech, MICALIS, Jouy-en-Josas, France.ORCID 0009-0006-1350-0209
Remy A BonninCenter for Immunology of Viral, Auto-immune, Hematological and Bacterial diseases, Université Paris-Saclay, Inserm, CEA, (IMVA-HB/IDMIT/UMRS1184), Fontenay-aux-Roses, Le Kremlin-Bicêtre, France.
Eduardo P C RochaInstitut Pasteur, Université Paris Cité, CNRS, UMR3525, Microbial Evolutionary Genomics, Paris, France.ORCID 0000-0001-7704-822X
Eugen PfeiferUniversité Paris-Saclay, INRAE, AgroParisTech, MICALIS, Jouy-en-Josas, France.ORCID 0000-0002-4554-3696

Funding

Agence Nationale de la Recherche ANR-10-LABX-62-IBEID, PIA/ANR-16-CONV-000Agence Nationale de la Recherche ANR-22-CPJ1-0041-01
6 · The paper itself

Abstract

Phage-plasmids (P-Ps) are temperate phages that replicate as plasmids during lysogeny. Despite their high diversity, they carry genes similar to phages and plasmids. This leads to gene exchanges and to the formation of hybrid or defective elements, which limits accurate detection of P-Ps. To address this challenge, we developed tyPPing, an easy-to-use method that efficiently detects and types P-Ps with high accuracy. It searches for distinct frequencies and sets of conserved proteins to separate P-Ps from plasmids and phages. tyPPing's strength comes from both its precise predictions and its ability to systematically type P-Ps, including the assignment of confidence levels. We tested tyPPing on several databases and a collection of incomplete (draft) genomes. While predictions rely on the quality of assemblies, we detected high-quality P-Ps and experimentally proved them to be functional. Compared to other classification methods, tyPPing is designed to detect distinct P-P types and surpasses other tools in terms of sensitivity and scalability. P-Ps are highly diverse, making the systematic identification of new types a difficult task. By combining tyPPing with other tools, however, we show a valuable foundation for addressing this challenge. How to use tyPPing and other approaches is documented in our GitHub repository: github.com/EpfeiferNutri/Phage-plasmids/. IMPORTANCE: Mobile genetic elements, such as phages and plasmids, are diverse and drive bacterial evolution through horizontal gene transfer. Phage-plasmids, of which many carry antibiotic resistance genes or virulence factors, are both phages and plasmids and have life cycles of temperate phages and plasmids. This makes accurate classification difficult as current computational tools typically classify them as one or the other. We addressed this problem by developing tyPPing, a new and highly precise method, to systematically identify, separate, and catalog phage-plasmids. We demonstrated that tyPPing is highly accurate and broadly compatible. It provides a reliable foundation for all future studies involving phages and plasmids, ranging from agriculture environments to pathogenic strains of clinical settings.

Indexed as

BacteriophagesComputational BiologyPlasmidsGenome, Viralgenomicshidden Markov modelsmobile genetic elementsphage-plasmidsphagesplasmids

Identifiers

PMID41660861
PMCPMC12977533

What OpenQuestion holds

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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.