The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Bacteria–surface interactions
Open accessAbstract
The interaction of bacteria with surfaces has important implications in a range of areas, including bioenergy, biofouling, biofilm formation, and the infection of plants and animals. Many of the interactions of bacteria with surfaces produce changes in the expression of genes that influence cell morphology and behavior, including genes essential for motility and surface attachment. Despite the attention that these phenotypes have garnered, the bacterial systems used for sensing and responding to surfaces are still not well understood. An understanding of these mechanisms will guide the development of new classes of materials that inhibit and promote cell growth, and complement studies of the physiology of bacteria in contact with surfaces. Recent studies from a range of fields in science and engineering are poised to guide future investigations in this area. This review summarizes recent studies on bacteria-surface interactions, discusses mechanisms of surface sensing and consequences of cell attachment, provides an overview of surfaces that have been used in bacterial studies, and highlights unanswered questions in this field.
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Cites
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Normal Bone Anatomy and Physiology
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Bacteria and archaea on Earth and their abundance in biofilms
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Surface characteristics influencing bacterial adhesion to polymeric substrates
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Dual-function antibacterial surfaces for biomedical applications
Yu, Q., Wu, Z., & Chen, H. (2015) · Acta Biomaterialia · doi:10.1016/j.actbio.2015.01.018 · Cited by 411
Functional polymer materials for modern marine biofouling control
Qiu, H., Feng, K., Gapeeva, A., Meurisch, K., Kaps, S., Li, X., Yu, L., Mishra, Y. K., Adelung, R., & Baum, M. (2022) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2022.101516 · Cited by 389
Metadata
- Authors
- Tuson, H. H., & Weibel, D. B.
- Venue
- Soft Matter
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 9
- Issue
- 17
- Pages
- 4368
- ISSN
- 1744-683X (ISSN-L)
- 1744-6848
- OpenAlex
- W2096367688
- Cited by
- 720
- References
- 165
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
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.
