Evidence map›Paper›PMID 30232243›Full record

ArticleJournal of the Royal Society, Interface2018

Intercellular adhesion promotes clonal mixing in growing bacterial populations.

Anton Kan, Ilenne Del Valle, Tim Rudge, Fernán Federici, Jim Haseloff

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. 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
  4. Review
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  13. Article
  14. Engineering pattern formation and morphogenesis.Biochemical Society transactions · 2020
    Review
  15. Article
  16. Article
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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

5 authors at 2 institutions in 2 countries.

Anton KanDepartment of Plant Sciences, University of Cambridge, Cambridge, UK.
Ilenne Del ValleDepartamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.
Tim RudgeInstitute for Biological and Medical Engineering, Schools of Engineering, Biology and Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Fernán FedericiDepartamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago, Chile.
Jim HaseloffDepartment of Plant Sciences, University of Cambridge, Cambridge, UK jh295@cam.ac.uk.ORCID 0000-0003-4793-8058
Pontificia Universidad Católica de Chile · CLUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L014130/1
6 · The paper itself

Abstract

Dense bacterial communities, known as biofilms, can have functional spatial organization driven by self-organizing chemical and physical interactions between cells, and their environment. In this work, we investigated intercellular adhesion, a pervasive property of bacteria in biofilms, to identify effects on the internal structure of bacterial colonies. We expressed the self-recognizing

Indexed as

Bacterial AdhesionBiofilmsAdhesins, BacterialAlgorithmsCell AdhesionComputer SimulationEscherichia coliEscherichia coli ProteinsFractalsModels, BiologicalMotionPhenotypePlasmidsAdhesins, BacterialEscherichia coli Proteinsintercellular adhesionmorphogenetic engineeringsynthetic biology

Identifiers

PMID30232243
PMCPMC6170782
OpenAlexW2890235991

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.