ReviewBiochemical Society transactions2020
Biofilm and swarming emergent behaviours controlled through the aid of biophysical understanding and tools.
Review in Biochemical Society transactions, 2020. 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
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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.
- Review
- Strain-level heterogeneity in Vibrio parahaemolyticus limits the predictive value of baseline planktonic gene expression for surface-associated phenotypes.Scientific reports · 2026Article
- Design and Synthesis of Triazole-Based p-tert-Butylcalix[4]Arene Conjugates and Evaluation of Their Antimicrobial, Antibiofilm, and Anti-Quorum-Sensing Activities.Biotechnology and applied biochemistry · 2025Article
- Physical communication pathways in bacteria: an extra layer to quorum sensing.Biophysical reviews · 2025Review
- Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025Review
- Nanovibrational Stimulation ofACS nano · 2024Article
- Deciphering the influence of NaCl on social behaviour ofRoyal Society open science · 2024Article
- Mechanical constraints to unbound expansion ofMicrobiology spectrum · 2024Article
- Modeling control and transduction of electrochemical gradients in acid-stressed bacteria.iScience · 2023Article
- Biophysical aspects underlying the swarm to biofilm transition.Science advances · 2022Article
- Surveying a Swarm: Experimental Techniques To Establish and Examine Bacterial Collective Motion.Applied and environmental microbiology · 2022Article
- Emergent Biological Endurance Depends on Extracellular Matrix Composition of Three-Dimensionally PrintedACS synthetic biology · 2021Article
- Swarming bacteria undergo localized dynamic phase transition to form stress-induced biofilms.eLife · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Bacteria can organise themselves into communities in the forms of biofilms and swarms. Through chemical and physical interactions between cells, these communities exhibit emergent properties that individual cells alone do not have. While bacterial communities have been mainly studied in the context of biochemistry and molecular biology, recent years have seen rapid advancements in the biophysical understanding of emergent phenomena through physical interactions in biofilms and swarms. Moreover, new technologies to control bacterial emergent behaviours by physical means are emerging in synthetic biology. Such technologies are particularly promising for developing engineered living materials (ELM) and devices and controlling contamination and biofouling. In this minireview, we overview recent studies unveiling physical and mechanical cues that trigger and affect swarming and biofilm development. In particular, we focus on cell shape, motion and density as the key parameters for mechanical cell-cell interactions within a community. We then showcase recent studies that use physical stimuli for patterning bacterial communities, altering collective behaviours and preventing biofilm formation. Finally, we discuss the future potential extension of biophysical and bioengineering research on microbial communities through computational modelling and deeper investigation of mechano-electrophysiological coupling.
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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.