Evidence map›Paper›PMID 36514980›Full record

ReviewOpen biology2022

Mechanisms driving spatial distribution of residents in colony biofilms: an interdisciplinary perspective.

Lukas Eigentler, Fordyce A Davidson, Nicola R Stanley-Wall

Open access · goldAbstract readReview
In one paragraph

Review in Open biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
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  8. Review
  9. Spatial population dynamics of bacterial colonies with social antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Review
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  17. Essential genes formSystems · 2024
    Article
  18. Article
  19. Where bacteria and eukaryotes meet.Journal of bacteriology · 2024
    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

3 authors at 1 institution in 1 country.

Lukas EigentlerDivision of Molecular Microbiology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.ORCID 0000-0002-8333-8132
Fordyce A DavidsonMathematics, School of Science and Engineering, University of Dundee, Dundee DD1 4HN, UK.ORCID 0000-0002-8377-3863
Nicola R Stanley-WallDivision of Molecular Microbiology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.ORCID 0000-0002-5936-9721
University of Dundee · GB

Funding

Biotechnology and Biological Sciences Research Council BB/P001335/1
6 · The paper itself

Abstract

Biofilms are consortia of microorganisms that form collectives through the excretion of extracellular matrix compounds. The importance of biofilms in biological, industrial and medical settings has long been recognized due to their emergent properties and impact on surrounding environments. In laboratory situations, one commonly used approach to study biofilm formation mechanisms is the colony biofilm assay, in which cell communities grow on solid-gas interfaces on agar plates after the deposition of a population of founder cells. The residents of a colony biofilm can self-organize to form intricate spatial distributions. The assay is ideally suited to coupling with mathematical modelling due to the ability to extract a wide range of metrics. In this review, we highlight how interdisciplinary approaches have provided deep insights into mechanisms causing the emergence of these spatial distributions from well-mixed inocula.

Indexed as

BiofilmsExtracellular Matrixcolony biofilmsfounder densitygenetic driftmicrobial interactionsspatial distribution

Identifiers

PMID36514980
PMCPMC9748781
OpenAlexW4311380707

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.