The DOI matches its Crossref record; 171 of the 171 references it cites were found in a registry or an index.
Biofilm dispersion
Open accessAbstract
The formation of microbial biofilms enables single planktonic cells to assume a multicellular mode of growth. During dispersion, the final step of the biofilm life cycle, single cells egress from the biofilm to resume a planktonic lifestyle. As the planktonic state is considered to be more vulnerable to antimicrobial agents and immune responses, dispersion is being considered a promising avenue for biofilm control. In this Review, we discuss conditions that lead to dispersion and the mechanisms by which native and environmental cues contribute to dispersion. We also explore recent findings on the role of matrix degradation in the dispersion process, and the distinct phenotype of dispersed cells. Last, we discuss the translational and therapeutic potential of dispersing bacteria during infection. In this Review, Rumbaugh and Sauer discuss the environmental cues and microorganism-derived signals that lead to the biofilm dispersal response, recent findings of matrix-degrading enzymes required for cells to liberate themselves from the biofilm matrix, novel insight into the mechanisms and regulation of dispersal, and the implications of these insights for biofilm control efforts.
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“Biofilm-disrupting agents such as DNase enzymes aim to break down these barriers, allowing antibiotics to penetrate162.”
From Pseudomonas aeruginosa: ecology, evolution, pathogenesis and antimicrobial susceptibility (2025) · cites this paper as [162]
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Cites
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Antibiotic resistance of bacteria in biofilms
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Self-citationBacterial Biofilms in Nature and Disease
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Cited by
The biofilm matrix: multitasking in a shared space
Flemming, H.-C., van Hullebusch, E. D., Neu, T. R., Nielsen, P. H., Seviour, T., Stoodley, P., Wingender, J., & Wuertz, S. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00791-0 · Cited by 983
Progress in Alternative Strategies to Combat Antimicrobial Resistance: Focus on Antibiotics
Murugaiyan, J., Kumar, P. A., Rao, G. S., Iskandar, K., Hawser, S., Hays, J. P., Mohsen, Y., Adukkadukkam, S., Awuah, W. A., Jose, R. A. M., et al. (2022) · Antibiotics · doi:10.3390/antibiotics11020200 · Cited by 567
Surface Design for Antibacterial Materials: From Fundamentals to Advanced Strategies
Li, W., Thian, E. S., Wang, M., Wang, Z., & Ren, L. (2021) · Advanced Science · doi:10.1002/advs.202100368 · Cited by 429
Biofilms: Understanding the structure and contribution towards bacterial resistance in antibiotics
Shree, P., Singh, C. K., Sodhi, K. K., Surya, J. N., & Singh, D. K. (2023) · Medicine in Microecology · doi:10.1016/j.medmic.2023.100084 · Cited by 396
Pseudomonas aeruginosa: ecology, evolution, pathogenesis and antimicrobial susceptibility
Letizia, M., Diggle, S. P., & Whiteley, M. (2025) · Nature Reviews Microbiology · doi:10.1038/s41579-025-01193-8 · Cited by 231
Metadata
- Authors
- Rumbaugh, K. P., & Sauer, K.
- Venue
- Nature Reviews Microbiology
- Published
- 2020-06-12
- Volume
- 18
- Issue
- 10
- Pages
- 571-586
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W4211076612
- Cited by
- 907
- References
- 171
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
