ArticleThe ISME journal2023
Distinct bacterial population dynamics and disease dissemination after biofilm dispersal and disassembly.
Article in The ISME journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- From biofilms to fibrosis: recent advances in research on the pathological microenvironment linked to ureteral stents and their surface functionalization.Frontiers in bioengineering and biotechnology · 2026Review
- Dispersal Mechanisms in Biofilm Control: Characteristics, Induction, Impacts, and Therapeutic Potential.Current microbiology · 2025Review
- Dual-species proteomics and targeted intervention of animal-pathogen interactions.Journal of advanced research · 2025Article
- Advanced biomaterials for targeting mature biofilms in periodontitis therapy.Bioactive materials · 2025Review
- Antibiotic-ResistantMicroorganisms · 2025Review
- Bacterial Iron Siderophore Drives Tumor Survival and Ferroptosis Resistance in a Biofilm-Tumor Spheroid Coculture Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Staphylococcus aureus and biofilms: transmission, threats, and promising strategies in animal husbandry.Journal of animal science and biotechnology · 2024Review
- In vitro modelling of bacterial pneumonia: a comparative analysis of widely applied complex cell culture models.FEMS microbiology reviews · 2024Review
- Juglone as a Natural Quorum Sensing Inhibitor againstACS pharmacology & translational science · 2024Article
- Bacterivorous nematodes decipher microbial iron siderophores as prey cue in predator-prey interactions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial communities that form surface-attached biofilms must release and disperse their constituent cells into the environment to colonize fresh sites for continued survival of their species. For pathogens, biofilm dispersal is crucial for microbial transmission from environmental reservoirs to hosts, cross-host transmission, and dissemination of infections across tissues within the host. However, research on biofilm dispersal and its consequences in colonization of fresh sites remain poorly understood. Bacterial cells can depart from biofilms via stimuli-induced dispersal or disassembly due to direct degradation of the biofilm matrix, but the complex heterogeneity of bacterial populations released from biofilms rendered their study difficult. Using a novel 3D-bacterial "biofilm-dispersal-then-recolonization" (BDR) microfluidic model, we demonstrated that Pseudomonas aeruginosa biofilms undergo distinct spatiotemporal dynamics during chemical-induced dispersal (CID) and enzymatic disassembly (EDA), with contrasting consequences in recolonization and disease dissemination. Active CID required bacteria to employ bdlA dispersal gene and flagella to depart from biofilms as single cells at consistent velocities but could not recolonize fresh surfaces. This prevented the disseminated bacteria cells from infecting lung spheroids and Caenorhabditis elegans in on-chip coculture experiments. In contrast, EDA by degradation of a major biofilm exopolysaccharide (Psl) released immotile aggregates at high initial velocities, enabling the bacteria to recolonize fresh surfaces and cause infections in the hosts efficiently. Hence, biofilm dispersal is more complex than previously thought, where bacterial populations adopting distinct behavior after biofilm departure may be the key to survival of bacterial species and dissemination of diseases.
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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.