The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Quorum Sensing in Bacteria
Abstract
▪ Abstract Quorum sensing is the regulation of gene expression in response to fluctuations in cell-population density. Quorum sensing bacteria produce and release chemical signal molecules called autoinducers that increase in concentration as a function of cell density. The detection of a minimal threshold stimulatory concentration of an autoinducer leads to an alteration in gene expression. Gram-positive and Gram-negative bacteria use quorum sensing communication circuits to regulate a diverse array of physiological activities. These processes include symbiosis, virulence, competence, conjugation, antibiotic production, motility, sporulation, and biofilm formation. In general, Gram-negative bacteria use acylated homoserine lactones as autoinducers, and Gram-positive bacteria use processed oligo-peptides to communicate. Recent advances in the field indicate that cell-cell communication via autoinducers occurs both within and between bacterial species. Furthermore, there is mounting data suggesting that bacterial autoinducers elicit specific responses from host organisms. Although the nature of the chemical signals, the signal relay mechanisms, and the target genes controlled by bacterial quorum sensing systems differ, in every case the ability to communicate with one another allows bacteria to coordinate the gene expression, and therefore the behavior, of the entire community. Presumably, this process bestows upon bacteria some of the qualities of higher organisms. The evolution of quorum sensing systems in bacteria could, therefore, have been one of the early steps in the development of multicellularity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilm
Davies, D. G., Parsek, M. R., Pearson, J. P., Iglewski, B. H., Costerton, J. W., & Greenberg, E. P. (1998) · Science · doi:10.1126/science.280.5361.295 · Cited by 3,396
Chernin, L. S., Winson, M. K., Thompson, J. M., Haran, S., Bycroft, B. W., Chet, I., Williams, P., & Stewart, G. S. A. B. (1998) · Journal of Bacteriology · doi:10.1128/jb.180.17.4435-4441.1998 · Cited by 238
Cited by
The pros, cons, and many unknowns of probiotics
Suez, J., Zmora, N., Segal, E., & Elinav, E. (2019) · Nature Medicine · doi:10.1038/s41591-019-0439-x · Cited by 1,398
The Systems View of Life: A Unifying Vision
Capra, F., & Luisi, P. L. (2014) · doi:10.1017/cbo9780511895555 · Cited by 1,347
Synthetic biology: new engineering rules for an emerging discipline
Andrianantoandro, E., Basu, S., Karig, D. K., & Weiss, R. (2006) · Molecular Systems Biology · doi:10.1038/msb4100073 · Cited by 1,081
Communication among Oral Bacteria
Kolenbrander, P. E., Andersen, R. N., Blehert, D. S., Egland, P. G., Foster, J. S., & Palmer, R. J. (2002) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.66.3.486-505.2002 · Cited by 1,022
Regulation of microbial populations by coral surface mucus and mucus-associated bacteria
Ritchie, K. (2006) · Marine Ecology Progress Series · doi:10.3354/meps322001 · Cited by 939
Metadata
- Authors
- Miller, M. B., & Bassler, B. L.
- Venue
- Annual Review of Microbiology
- Publisher
- Annual Reviews
- Published
- 2001-10
- Volume
- 55
- Issue
- 1
- Pages
- 165-199
- ISSN
- 0066-4227 (ISSN-L)
- 1545-3251
- OpenAlex
- W2126922170
- Cited by
- 5,105
- References
- 2
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Quorum Sensing in Bacteria. https://app.cochat.ai/papers/10.1146/annurev.micro.55.1.165
- The paper
- Miller, M. B., & Bassler, B. L. (2001). Quorum Sensing in Bacteria. Annual Review of Microbiology. https://doi.org/10.1146/annurev.micro.55.1.165
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.