ArticlePLoS computational biology2011
LsrR quorum sensing "switch" is revealed by a bottom-up approach.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 31 citations in OpenAlex.
- Spatial structure, chemotaxis and quorum sensing shape bacterial biomass accumulation in complex porous media.Nature communications · 2024Article
- Virtual screening-based discovery of AI-2 quorum sensing inhibitors that interact with an allosteric hydrophobic site of LsrK and their functional evaluation.Frontiers in chemistry · 2023Article
- Homologous Quorum Sensing Regulatory Circuit: A Dual-Input Genetic Controller for Modulating Quorum Sensing-Mediated Protein Expression inACS synthetic biology · 2020Article
- Article
- Bacteria Floc, but Do They Flock? Insights from Population Interaction Models of Quorum Sensing.mBio · 2019Article
- Modeling Quorum Sensing Dynamics and Interference onFrontiers in microbiology · 2019Article
- Proteogenomic Analysis ofFrontiers in microbiology · 2018Article
- Quorum Sensing Desynchronization Leads to Bimodality and Patterned Behaviors.PLoS computational biology · 2016Article
- Directed assembly of a bacterial quorum.The ISME journal · 2016Article
- Nano-guided cell networks as conveyors of molecular communication.Nature communications · 2015Article
- Autonomous bacterial localization and gene expression based on nearby cell receptor density.Molecular systems biology · 2013Article
- Gene network homology in prokaryotes using a similarity search approach: queries of quorum sensing signal transduction.PLoS computational biology · 2012Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quorum sensing (QS) enables bacterial multicellularity and selective advantage for communicating populations. While genetic "switching" phenomena are a common feature, their mechanistic underpinnings have remained elusive. The interplay between circuit components and their regulation are intertwined and embedded. Observable phenotypes are complex and context dependent. We employed a combination of experimental work and mathematical models to decipher network connectivity and signal transduction in the autoinducer-2 (AI-2) quorum sensing system of E. coli. Negative and positive feedback mechanisms were examined by separating the network architecture into sub-networks. A new unreported negative feedback interaction was hypothesized and tested via a simple mathematical model. Also, the importance of the LsrR regulator and its determinant role in the E. coli QS "switch", normally masked by interfering regulatory loops, were revealed. Our simple model allowed mechanistic understanding of the interplay among regulatory sub-structures and their contributions to the overall native functioning network. This "bottom up" approach in understanding gene regulation will serve to unravel complex QS network architectures and lead to the directed coordination of emergent behaviors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.