The DOI matches its Crossref record.
Local and global consequences of flow on bacterial quorum sensing
Open accessAbstract
Bacteria use a chemical communication process called quorum sensing (QS) to control collective behaviours such as pathogenesis and biofilm formation1,2. QS relies on the production, release and group-wide detection of signal molecules called autoinducers. To date, studies of bacterial pathogenesis in well-mixed cultures have revealed virulence factors and the regulatory circuits controlling them, including the overarching role of QS3. Although flow is ubiquitous to nearly all living systems4, much less explored is how QS influences pathogenic traits in scenarios that mimic host environments, for example, under fluid flow and in complex geometries. Previous studies5–7 have shown that sufficiently strong flow represses QS. Nonetheless, it is not known how QS functions under constant or intermittent flow, how it varies within biofilms or as a function of position along a confined flow, or how surface topography (grooves, crevices, pores) influence QS-mediated communication. We explore these questions using two common pathogens, Staphylococcus aureus and Vibrio cholerae. We identify conditions where flow represses QS and other conditions where QS is activated despite flow, including characterizing geometric and topographic features that influence the QS response. Our studies highlight that, under flow, genetically identical cells do not exhibit phenotypic uniformity with respect to QS in space and time, leading to complex patterns of pathogenesis and colonization. Understanding the ramifications of spatially and temporally non-uniform QS responses in realistic environments will be crucial for successful deployment of synthetic pro- and anti-QS strategies.
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
Cited by
Biofilms: an emergent form of bacterial life
Flemming, H.-C., Wingender, J., Szewzyk, U., Steinberg, P., Rice, S. A., & Kjelleberg, S. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.94 · Cited by 5,979
Quorum sensing signal-response systems in Gram-negative bacteria
Papenfort, K., & Bassler, B. L. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.89 · Cited by 2,256
Self-citationBacterial quorum sensing in complex and dynamically changing environments
Mukherjee, S., & Bassler, B. L. (2019) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0186-5 · Cited by 1,374
Self-citationBiofilms in the Food Industry: Health Aspects and Control Methods
Galié, S., García-Gutiérrez, C., Miguélez, E. M., Villar, C. J., & Lombó, F. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00898 · Cited by 964
Not Just Going with the Flow: The Effects of Fluid Flow on Bacteria and Plankton
Wheeler, J. D., Secchi, E., Rusconi, R., & Stocker, R. (2019) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100818-125119 · Cited by 139
Metadata
- Authors
- Kim, M. K., Ingremeau, F., Zhao, A., Bassler, B. L., & Stone, H. A.
- Venue
- Nature Microbiology
- Published
- 2016-01-11
- Volume
- 1
- Issue
- 1
- Pages
- 15005-15005
- ISSN
- 2058-5276 (ISSN-L)
- OpenAlex
- W2523188958
- Cited by
- 211
- References
- 0
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- green
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: Local and global consequences of flow on bacterial quorum sensing. https://app.cochat.ai/papers/10.1038/nmicrobiol.2015.5
- The paper
- Kim, M. K., Ingremeau, F., Zhao, A., Bassler, B. L., & Stone, H. A. (2016). Local and global consequences of flow on bacterial quorum sensing. Nature Microbiology. https://doi.org/10.1038/nmicrobiol.2015.5
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.