ArticleScientific reports2018
Computer simulation study of early bacterial biofilm development.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 48 citations in OpenAlex.
- Effects of curvature on growing films of microorganisms.Biophysical journal · 2025Article
- Soft X-ray tomography reveals variations in B. subtilis biofilm structure upon tasA deletion.NPJ biofilms and microbiomes · 2025Article
- Understanding Quorum-Sensing and Biofilm Forming in Anaerobic Bacterial Communities.International journal of molecular sciences · 2024Review
- Computer simulation study of nutrient-driven bacterial biofilm stratification.Journal of the Royal Society, Interface · 2024Article
- Cooperation in bioluminescence: understanding the role of autoinducers by a stochastic random resistor model.The European physical journal. E, Soft matter · 2023Article
- A subcellular biochemical model for T6SS dynamics reveals winning competitive strategies.PNAS nexus · 2023Article
- Anomalous diffusion of nanoparticles in the spatially heterogeneous biofilm environment.iScience · 2023Article
- Transcription-replication interactions reveal principles of bacterial genome regulation.Research square · 2023Article
- Mutant-Dependent Local Orientational Correlation in Biofilms ofInternational journal of molecular sciences · 2023Article
- Microbial Cells as a Microrobots: From Drug Delivery to Advanced Biosensors.Biomimetics (Basel, Switzerland) · 2023Review
- CAMDLES: CFD-DEM Simulation of Microbial Communities in Spaceflight and Artificial Microgravity.Life (Basel, Switzerland) · 2022Article
- Biofilm viscoelasticity and nutrient source location control biofilm growth rate, migration rate, and morphology in shear flow.Scientific reports · 2021Article
- Computational Model To Quantify the Growth of Antibiotic-Resistant Bacteria in Wastewater.mSystems · 2021Article
- Agent Based Models of Polymicrobial Biofilms and the Microbiome-A Review.Microorganisms · 2021Review
- Precision Design of Antimicrobial Surfaces.Frontiers in medical technology · 2021Article
- Quantitative Relationships Between Growth, Differentiation, and Shape That ControlFrontiers in cell and developmental biology · 2021Article
- Article
- Self-Adaptation ofFrontiers in microbiology · 2020Article
- Antibacterial effect of graphene oxide (GO) nano-particles against Pseudomonas putida biofilm of variable age.Environmental science and pollution research international · 2019Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most bacteria form organized sessile communities, known as biofilms. Their ubiquity and relevance have stimulated the development of efficient mathematical models able to predict biofilm evolution and characteristics at different conditions. Here we present a study of the early stages of bacterial biofilm formation modeled by means of individual cell-based computer simulation. Simulation showed that clusters with different degrees of internal and orientational order were formed as a function of the aspect ratio of the individual particles and the relation between the diffusion and growth rates. Analysis of microscope images of early biofilm formation by the Gram-negative bacterium Pseudomonas putida at varying diffusion rates revealed a good qualitative agreement with the simulation results. Our model is a good predictor of microcolony morphology during early biofilm development, showing that the competition between diffusion and growth rates is a key aspect in the formation of stable biofilm microcolonies.
Indexed as
Identifiers
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.