Evidence map›Paper›PMID 31172158›Full record

ArticleSoft matter2019

Rivalry in Bacillus subtilis colonies: enemy or family?

Rajorshi Paul, Tanushree Ghosh, Tian Tang, Aloke Kumar

Abstract read
PubMed Publisher
In one paragraph

Article in Soft matter, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Geometric ordering in bacterial communities.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Rajorshi PaulDepartment of Mechanical Engineering, University of Alberta, Edmonton, Canada.ORCID http://orcid.org/0000-0001-6954-9868
Tanushree GhoshDepartment of Mechanical Engineering, University of Alberta, Edmonton, Canada.ORCID http://orcid.org/0000-0001-5379-0323
Tian TangDepartment of Mechanical Engineering, University of Alberta, Edmonton, Canada.ORCID http://orcid.org/0000-0002-2387-3571
Aloke KumarDepartment of Mechanical Engineering, Indian Institute of Science, Bangalore, India. alokekumar@iisc.ac.in.ORCID http://orcid.org/0000-0002-7797-8336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two colonies of Bacillus subtilis of identical strains growing adjacent to each other on an agar plate exhibit two distinct types of interactions: they either merge as they grow or demarcation occurs leading to formation of a line of demarcation at the colony fronts. The nature of this interaction depends on the agar concentration in the growth medium and the initial separation between the colonies. When the agar concentration was 0.67% or lower, the two sibling colonies were found to always merge. At 1% or higher concentrations, the colonies formed a demarcation line only when their initial separation was 20 mm or higher. Interactions of a colony with solid structures and liquid drops have indicated that biochemical factors rather than the presence of physical obstacles are responsible for the demarcation line formation. A reaction diffusion model has been formulated to predict if two sibling colonies will form a demarcation line under given agar concentration and initial separation. The model prediction agrees well with experimental findings and generates a dimensionless phase diagram containing merging and demarcation regimes. The phase diagram is in terms of a dimensionless initial separation, d[combining macron], and a dimensionless diffusion coefficient, D[combining macron], of the colonies. The phase boundary between the two interaction regimes can be described by a power law relation between d[combining macron] and D[combining macron].

Indexed as

AgarBacillus subtilisBacteriological TechniquesCulture MediaDiffusionModels, BiologicalMovementAgarCulture Media

Identifiers

PMID31172158

What OpenQuestion holds

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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.