Evidence map›Paper›PMID 34006640›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

A biophysical limit for quorum sensing in biofilms.

Avaneesh V Narla, David Bruce Borenstein, Ned S Wingreen

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Dissecting the physics of bacterial biofilms with agent-based simulations.Current opinion in solid state & materials science · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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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

3 authors at 2 institutions in 1 country.

Avaneesh V NarlaDepartment of Physics, University of California San Diego, La Jolla, CA 92092.ORCID 0000-0002-9328-8271
David Bruce BorensteinPrivate address, Maplewood NJ, 07040.
Ned S WingreenDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544; wingreen@princeton.edu.ORCID 0000-0001-7384-2821
Princeton University · USUniversity of California San Diego · US

Funding

Thermally robust chemotaxis and thermotaxis in Escherichia coliR01GM082938 · NIGMS · PRINCETON UNIVERSITY · PI WINGREEN, NED S · 2008 to 2025
$5.5M
NIGMS NIH HHS R01 GM082938
6 · The paper itself

Abstract

Bacteria grow on surfaces in complex immobile communities known as biofilms, which are composed of cells embedded in an extracellular matrix. Within biofilms, bacteria often interact with members of their own species and cooperate or compete with members of other species via quorum sensing (QS). QS is a process by which microbes produce, secrete, and subsequently detect small molecules called autoinducers (AIs) to assess their local population density. We explore the competitive advantage of QS through agent-based simulations of a spatial model in which colony expansion via extracellular matrix production provides greater access to a limiting diffusible nutrient. We note a significant difference in results based on whether AI production is constitutive or limited by nutrient availability: If AI production is constitutive, simple QS-based matrix-production strategies can be far superior to any fixed strategy. However, if AI production is limited by nutrient availability, QS-based strategies fail to provide a significant advantage over fixed strategies. To explain this dichotomy, we derive a biophysical limit for the dynamic range of nutrient-limited AI concentrations in biofilms. This range is remarkably small (less than 10-fold) for the realistic case in which a growth-limiting diffusible nutrient is taken up within a narrow active growth layer. This biophysical limit implies that for QS to be most effective in biofilms AI production should be a protected function not directly tied to metabolism.

Indexed as

BacteriaBacterial LoadBacterial ProteinsBiofilmsComputer SimulationExtracellular MatrixModels, BiologicalNutrientsQuorum SensingBacterial ProteinsNutrientsagent-based modelingbiofilmsnutrient-limited communicationquorum sensing

Identifiers

PMID34006640
PMCPMC8166027
OpenAlexW3160755894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.