The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Two-component systems required for virulence in Pseudomonas aeruginosa
Open accessAbstract
Pseudomonas aeruginosa is a versatile opportunistic pathogen capable of infecting a broad range of hosts, in addition to thriving in a broad range of environmental conditions outside of hosts. With this versatility comes the need to tightly regulate its genome to optimise its gene expression and behaviour to the prevailing conditions. Two-component systems (TCSs) comprising sensor kinases and response regulators play a major role in this regulation. This minireview discusses the growing number of TCSs that have been implicated in the virulence of P. aeruginosa, with a special focus on the emerging theme of multikinase networks, which are networks comprising multiple sensor kinases working together, sensing and integrating multiple signals to decide upon the best response. The networks covered in depth regulate processes such as the switch between acute and chronic virulence (GacS network), the Cup fimbriae (Roc network and Rcs/Pvr network), the aminoarabinose modification of lipopolysaccharide (a network involving the PhoQP and PmrBA TCSs), twitching motility and virulence (a network formed from the Chp chemosensory pathway and the FimS/AlgR TCS), and biofilm formation (Wsp chemosensory pathway). In addition, we highlight the important interfaces between these systems and secondary messenger signals such as cAMP and c-di-GMP.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“More than 50% of the TCSs and their corresponding HKs are linked to virulence and/or antibiotic resistance of P. aeruginosa.192”
From Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics (2022) · cites this paper as [192]
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
Pseudomonas biofilm formation and antibiotic resistance are linked to phenotypic variation
Drenkard, E., & Ausubel, F. M. (2002) · Nature · doi:10.1038/416740a · Cited by 997
Essential genome of Pseudomonas aeruginosa in cystic fibrosis sputum
Turner, K. H., Wessel, A. K., Palmer, G. C., Murray, J. L., & Whiteley, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419677112 · Cited by 432
Community surveillance enhances Pseudomonas aeruginosa virulence during polymicrobial infection
Korgaonkar, A., Trivedi, U., Rumbaugh, K. P., & Whiteley, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1214550110 · Cited by 315
Hassan, M.-E.-T., van der Lelie, D., Springael, D., Römling, U., Ahmed, N., & Mergeay, M. (1999) · Gene · doi:10.1016/s0378-1119(99)00349-2 · Cited by 165
Cited by
Qin, S., Xiao, W., Zhou, C., Pu, Q., Deng, X., Lan, L., Liang, H., Song, X., & Wu, M. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01056-1 · Cited by 1,703
Pseudomonas aeruginosa: An Audacious Pathogen with an Adaptable Arsenal of Virulence Factors
Jurado-Martín, I., Sainz-Mejías, M., & McClean, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22063128 · Cited by 698
The role of RNA regulators, quorum sensing and c‐di‐GMP in bacterial biofilm formation
Condinho, M., Carvalho, B., Cruz, A., Pinto, S. N., Arraiano, C. M., & Pobre, V. (2023) · FEBS Open Bio · doi:10.1002/2211-5463.13389 · Cited by 64
Eng, T., Banerjee, D., Lau, A. K., Bowden, E., Herbert, R. A., Trinh, J., Prahl, J.-P., Deutschbauer, A., Tanjore, D., & Mukhopadhyay, A. (2021) · Metabolic Engineering · doi:10.1016/j.ymben.2021.04.015 · Cited by 50
Metadata
- Authors
- Francis, V. I., Stevenson, E. C., & Porter, S. L.
- Venue
- FEMS Microbiology Letters
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-05-16
- Volume
- 364
- Issue
- 11
- ISSN
- 0378-1097 (ISSN-L)
- 1574-6968
- OpenAlex
- W2613356051
- Cited by
- 199
- References
- 4
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Two-component systems required for virulence in Pseudomonas aeruginosa. https://app.cochat.ai/papers/10.1093/femsle/fnx104
- The paper
- Francis, V. I., Stevenson, E. C., & Porter, S. L. (2017). Two-component systems required for virulence in Pseudomonas aeruginosa. FEMS Microbiology Letters. https://doi.org/10.1093/femsle/fnx104
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.