Evidence map›Paper›PMID 29382134›Full record

ArticleAntibiotics (Basel, Switzerland)2018

Phage-Bacterial Dynamics with Spatial Structure: Self Organization around Phage Sinks Can Promote Increased Cell Densities.

James J Bull, Kelly A Christensen, Carly Scott, Benjamin R Jack, Cameron J Crandall, Stephen M Krone

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Spatially structured models of viral dynamics: a scoping review.Microbiology and molecular biology reviews : MMBR · 2025
    Article
  5. Article
  6. Article
  7. Bacteriophage-mediated approaches for biofilm control.Frontiers in cellular and infection microbiology · 2024
    Review
  8. Review
  9. PHAGE (New Rochelle, N.Y.) · 2023
    Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. On Phage Adsorption to Bacterial Chains.Biophysical journal · 2020
    Article
  18. Review
  19. Article
  20. 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

6 authors.

James J BullDepartment of Integrative Biology, University of Texas, Austin, TX 78712, USA. bull@utexas.edu.
Kelly A ChristensenDepartment of Mathematics, University of Idaho, Moscow, ID 83844, USA. chri4898@vandals.uidaho.edu.
Carly ScottDepartment of Mathematics, University of Idaho, Moscow, ID 83844, USA. scot9278@vandals.uidaho.edu.
Benjamin R JackThe Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA. benjamin.r.jack@gmail.com.ORCID 0000-0001-7777-1653
Cameron J CrandallDepartment of Biological Sciences, University of Idaho, Moscow, ID 83844, USA. cjcrandall91@gmail.com.
Stephen M KroneDepartment of Mathematics, University of Idaho, Moscow, ID 83844, USA. krone@uidaho.edu.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Sequence-structure-function relationships in human visual photopigmentsP20GM104420 · NIGMS · UNIVERSITY OF IDAHO · PI WICHMAN, HOLLY A · 2015 to 2024
$22.9M
The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
COLLABORATIVE RESEARCH: A MATHEMATICAL THEORY OF TRANSMISSIBLE VACCINES R01GM122079 · NIGMS · UNIVERSITY OF IDAHO · PI SCOTT L NUISMER · 2016 to 2026
$2.2M
Identifying Mutations that Promote Microbial EvolvabilityK99GM087550 · NIGMS · MICHIGAN STATE UNIVERSITY · PI BARRICK, JEFFREY EVAN · 2009 to 2010
$180k
NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR002319NIGMS NIH HHS K99 GM087550NIGMS NIH HHS P20 GM104420NIGMS NIH HHS R01 GM088344NIGMS NIH HHS R01 GM122079
6 · The paper itself

Abstract

Bacteria growing on surfaces appear to be profoundly more resistant to control by lytic bacteriophages than do the same cells grown in liquid. Here, we use simulation models to investigate whether spatial structure per se can account for this increased cell density in the presence of phages. A measure is derived for comparing cell densities between growth in spatially structured environments versus well mixed environments (known as mass action). Maintenance of sensitive cells requires some form of phage death; we invoke death mechanisms that are spatially fixed, as if produced by cells. Spatially structured phage death provides cells with a means of protection that can boost cell densities an order of magnitude above that attained under mass action, although the effect is sometimes in the opposite direction. Phage and bacteria self organize into separate refuges, and spatial structure operates so that the phage progeny from a single burst do not have independent fates (as they do with mass action). Phage incur a high loss when invading protected areas that have high cell densities, resulting in greater protection for the cells. By the same metric, mass action dynamics either show no sustained bacterial elevation or oscillate between states of low and high cell densities and an elevated average. The elevated cell densities observed in models with spatial structure do not approach the empirically observed increased density of cells in structured environments with phages (which can be many orders of magnitude), so the empirical phenomenon likely requires additional mechanisms than those analyzed here.

Indexed as

agent basedbacteriophagebiofilmmass actionmodelsphage therapyresistance

Identifiers

PMID29382134
PMCPMC5872119

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.