The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Quorum sensing, communication and cross-kingdom signalling in the bacterial world
Abstract
Although unicellular, bacteria are highly interactive and employ a range of cell-to-cell communication or 'quorum sensing (QS)' systems for promoting collective behaviour within a population. QS is generally considered to facilitate gene expression only when the population has reached a sufficient cell density and depends on the synthesis of small molecules that diffuse in and out of bacterial cells. As the bacterial population density increases, so does the synthesis of QS signal molecules and consequently, their concentration in the external environment increases. Once a critical threshold concentration is reached, a target sensor kinase or response regulator is activated, so facilitating the expression of QS-dependent target genes. Several chemically distinct families of QS signal molecules have been described, of which the N-acylhomoserine lactone (AHL) family in Gram-negative bacteria have been the most intensively investigated. QS contributes to environmental adaptation by facilitating the elaboration of virulence determinants in pathogenic species and plant biocontrol characteristics in beneficial species as well as directing biofilm formation and colony escape. QS also crosses the prokaryotic-eukaryotic boundary in that QS signal molecules influence the behaviour of eukaryotic organisms in both the plant and mammalian worlds such that QS signal molecules may directly facilitate bacterial survival by promoting an advantageous lifestyle within a given environmental niche.
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Cites
A Pseudomonas aeruginosa quorum‐sensing molecule influences Candida albicans morphology
Hogan, D. A., Vik, Å., & Kolter, R. (2004) · Molecular Microbiology · doi:10.1111/j.1365-2958.2004.04349.x · Cited by 575
Cited by
The threat of antimicrobial resistance in developing countries: causes and control strategies
Ayukekbong, J. A., Ntemgwa, M., & Atabe, A. N. (2017) · Antimicrobial Resistance & Infection Control · doi:10.1186/s13756-017-0208-x · Cited by 1,315
Plant-Derived Antimicrobial Compounds: Alternatives to Antibiotics
Savoia, D. (2012) · Future Microbiology · doi:10.2217/fmb.12.68 · Cited by 601
Brackman, G., Cos, P., Maes, L., Nelis, H. J., & Coenye, T. (2011) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00045-11 · Cited by 561
Microbiologically influenced corrosion and current mitigation strategies: A state of the art review
Jia, R., Unsal, T., Xu, D., Lekbach, Y., & Gu, T. (2019) · International Biodeterioration & Biodegradation · doi:10.1016/j.ibiod.2018.11.007 · Cited by 503
Ecology and Genomic Insights into Plant-Pathogenic and Plant-Nonpathogenic Endophytes
Brader, G., Compant, S., Vescio, K., Mitter, B., Trognitz, F., Ma, L.-J., & Sessitsch, A. (2017) · Annual Review of Phytopathology · doi:10.1146/annurev-phyto-080516-035641 · Cited by 482
Metadata
- Authors
- Williams, P.
- Venue
- Microbiology
- Publisher
- Microbiology Society
- Published
- 2007-12-01
- Volume
- 153
- Issue
- 12
- Pages
- 3923-3938
- ISSN
- 1350-0872 (ISSN-L)
- 1465-2080
- OpenAlex
- W2143556405
- Cited by
- 648
- References
- 1
- FWCI
- 10.66
- Type
- journal article
- Language
- en
- Open access
- closed
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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.