Evidence map›Paper›PMID 29263125›Full record

ArticleJournal of the Royal Society, Interface2017

Temperate phages as self-replicating weapons in bacterial competition.

Xiang-Yi Li, Tim Lachnit, Sebastian Fraune, Thomas C G Bosch, Arne Traulsen, Michael Sieber

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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, 50 citations in OpenAlex.

  1. Temperate phages limit their own propagation under spatial constraint in biofilms on chitin.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Reconciling ecology and evolutionary game theory or "When not to think cooperation".Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Exploiting interbacterial antagonism for microbiome engineering.Current opinion in biomedical engineering · 2021
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  15. Predicting plasmid persistence in microbial communities by coarse-grained modeling.BioEssays : news and reviews in molecular, cellular and developmental biology · 2021
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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 at 3 institutions in 2 countries.

Xiang-Yi LiDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.ORCID 0000-0001-8662-0865
Tim LachnitZoological Institute, Christian-Albrechts-University Kiel, Kiel, Germany.
Sebastian FrauneZoological Institute, Christian-Albrechts-University Kiel, Kiel, Germany.
Thomas C G BoschZoological Institute, Christian-Albrechts-University Kiel, Kiel, Germany.
Arne TraulsenDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Michael SieberDepartment of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany sieber@evolbio.mpg.de.ORCID 0000-0003-2703-3665
Christian-Albrechts-Universität zu Kiel · DEMax Planck Institute for Evolutionary Biology · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities are accompanied by a diverse array of viruses. Through infections of abundant microbes, these viruses have the potential to mediate competition within the community, effectively weakening competitive interactions and promoting coexistence. This is of particular relevance for host-associated microbial communities, because the diversity of the microbiota has been linked to host health and functioning. Here, we study the interaction between two key members of the microbiota of the freshwater metazoan

Indexed as

MicrobiotaAnimalsBurkholderialesHydraLysogenyModels, BiologicalProphagesbacterial competitionbacteria–phage interactionslysogenic and lytic cyclesmathematical modelling

Identifiers

PMID29263125
PMCPMC5746566
OpenAlexW2777417943

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.