ArticleeLife2022
A biophysical threshold for biofilm formation.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Dimensional analysis as a tool for biofilm comparative analysis: bridging the interdisciplinary divides.Journal of bacteriology · 2026Review
- Environmental and chemical modulation of Staphylococcus aureus Newman biofilm formation.Applied microbiology and biotechnology · 2026Article
- A nutrient bottleneck controls antibiotic efficacy in structured bacterial populations.Nature communications · 2026Article
- Large scale identification of pellicle and cell-free liquid phase associated proteins inCurrent research in microbial sciences · 2025Article
- Identification and comparison of protein composition of biofilms in response to EGCG fromBiofilm · 2024Article
- Beneficial applications of biofilms.Nature reviews. Microbiology · 2024Review
- Two-Dimensional "Nanotanks" Release "Gas Bombs" through Photodynamic Cascades to Promote Diabetic Wound Healing.Biomaterials research · 2024Article
- Proliferating active matter.Nature reviews. Physics · 2023Review
- Influence of Surface Roughness, Nanostructure, and Wetting on Bacterial Adhesion.Langmuir : the ACS journal of surfaces and colloids · 2023Article
- Vertical growth dynamics of biofilms.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Stress anisotropy in confined populations of growing rods.Journal of the Royal Society, Interface · 2022Article
- To biofilm or not to biofilm.eLife · 2022Article
- A computational model for microbial colonization of an antifouling surface.Frontiers in microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacteria are ubiquitous in our daily lives, either as motile planktonic cells or as immobilized surface-attached biofilms. These different phenotypic states play key roles in agriculture, environment, industry, and medicine; hence, it is critically important to be able to predict the conditions under which bacteria transition from one state to the other. Unfortunately, these transitions depend on a dizzyingly complex array of factors that are determined by the intrinsic properties of the individual cells as well as those of their surrounding environments, and are thus challenging to describe. To address this issue, here, we develop a generally-applicable biophysical model of the interplay between motility-mediated dispersal and biofilm formation under positive quorum sensing control. Using this model, we establish a universal rule predicting how the onset and extent of biofilm formation depend collectively on cell concentration and motility, nutrient diffusion and consumption, chemotactic sensing, and autoinducer production. Our work thus provides a key step toward quantitatively predicting and controlling biofilm formation in diverse and complex settings.
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What OpenQuestion holds
Registered trials
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.