Evidence map›Paper›PMID 34203492›Full record

ArticleViruses2021

Investigation of Salmonella Phage-Bacteria Infection Profiles: Network Structure Reveals a Gradient of Target-Range from Generalist to Specialist Phage Clones in Nested Subsets.

Khatuna Makalatia, Elene Kakabadze, Nata Bakuradze, Nino Grdzelishvili, Ben Stamp, Ezra Herman, Avraam Tapinos, Aidan Coffey, David Lee, Nikolaos G Papadopoulos and 3 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Identification and Characterization ofPHAGE (New Rochelle, N.Y.) · 2024
    Article
  3. Article
  4. Phenotypic Characterization and Comparative Genomic Analysis of NovelInternational journal of molecular sciences · 2023
    Article
  5. Review
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

13 authors at 7 institutions in 4 countries.

Khatuna MakalatiaEliava Institute of Bacteriophage, Microbiology and Virology, Tbilisi 0162, Georgia.
Elene KakabadzeEliava Institute of Bacteriophage, Microbiology and Virology, Tbilisi 0162, Georgia.ORCID 0000-0001-8496-7849
Nata BakuradzeEliava Institute of Bacteriophage, Microbiology and Virology, Tbilisi 0162, Georgia.
Nino GrdzelishviliEliava Institute of Bacteriophage, Microbiology and Virology, Tbilisi 0162, Georgia.
Ben StampMRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow G61 1QH, UK.
Ezra HermanDepartment of Biology, University of York, Wentworth Way, York YO10 5DD, UK.ORCID 0000-0002-5619-5244
Avraam TapinosDivision of Evolution and Genomic Sciences, The University of Manchester, Manchester M13 9GB, UK.
Aidan CoffeyDepartment of Biological Sciences, Munster Technological University, T12 P928 Cork, Ireland.ORCID 0000-0003-4116-9913
David LeeDepartment of Biological Sciences, Munster Technological University, T12 P928 Cork, Ireland.
Nikolaos G PapadopoulosDivision of Infection, Immunity and Respiratory Medicine, The University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-4448-3468
David L RobertsonMRC-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow G61 1QH, UK.
Nina ChanishviliEliava Institute of Bacteriophage, Microbiology and Virology, Tbilisi 0162, Georgia.ORCID 0000-0002-7859-3032
Spyridon MegremisDivision of Evolution and Genomic Sciences, The University of Manchester, Manchester M13 9GB, UK.ORCID 0000-0002-4082-5387
George Eliava Institute of Bacteriophage, Microbiology and Virology · GEMRC University of Glasgow Centre for Virus Research · GBMunster Technological University · IEUniversity of Manchester · GBNational and Kapodistrian University of Athens · GRUniversity Geomedi · GEUniversity of York · GB

Funding

Medical Research Council MC_UU_12014/12
6 · The paper itself

Abstract

Bacteriophages that lyse Salmonella enterica are potential tools to target and control Salmonella infections. Investigating the host range of Salmonella phages is a key to understand their impact on bacterial ecology, coevolution and inform their use in intervention strategies. Virus-host infection networks have been used to characterize the "predator-prey" interactions between phages and bacteria and provide insights into host range and specificity. Here, we characterize the target-range and infection profiles of 13 Salmonella phage clones against a diverse set of 141 Salmonella strains. The environmental source and taxonomy contributed to the observed infection profiles, and genetically proximal phages shared similar infection profiles. Using in vitro infection data, we analyzed the structure of the Salmonella phage-bacteria infection network. The network has a non-random nested organization and weak modularity suggesting a gradient of target-range from generalist to specialist species with nested subsets, which are also observed within and across the different phage infection profile groups. Our results have implications for our understanding of the coevolutionary mechanisms shaping the ecological interactions between Salmonella phages and their bacterial hosts and can inform strategies for targeting Salmonella enterica with specific phage preparations.

Indexed as

Host Microbial InteractionsHost SpecificityAnti-Bacterial AgentsBacterial InfectionsEvolution, MolecularSalmonellaSalmonella InfectionsSalmonella PhagesAnti-Bacterial Agentsbacteriabacteriophagesevolutioninfectionmodularitynestednessnetworksalmonellaspeciationvirus

Identifiers

PMID34203492
PMCPMC8310288
OpenAlexW3175033835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.