ArticleMolecular systems biology2006
A stochastic model of Escherichia coli AI-2 quorum signal circuit reveals alternative synthesis pathways.
Article in Molecular systems biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 64 citations in OpenAlex.
- From single cells to communities: Mathematical perspectives on bacterial quorum sensing.Computational and structural biotechnology journal · 2025Review
- Bidirectional Cell-Cell Communication via Indole and Cyclo(Pro-Tyr) Modulates Interspecies Biofilm Formation.Applied and environmental microbiology · 2021Article
- Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli.NPJ systems biology and applications · 2021Article
- Tackling Antimicrobial Resistance with Small Molecules Targeting LsrK: Challenges and Opportunities.Journal of medicinal chemistry · 2020Article
- Homologous Quorum Sensing Regulatory Circuit: A Dual-Input Genetic Controller for Modulating Quorum Sensing-Mediated Protein Expression inACS synthetic biology · 2020Article
- A redox-based electrogenetic CRISPR system to connect with and control biological information networks.Nature communications · 2020Article
- Mechanistic modeling of light-induced chemotactic infiltration of bacteria into leaf stomata.PLoS computational biology · 2020Article
- Regulatory Mechanisms of the LuxS/AI-2 System and Bacterial Resistance.Antimicrobial agents and chemotherapy · 2019Review
- Bacteria Floc, but Do They Flock? Insights from Population Interaction Models of Quorum Sensing.mBio · 2019Article
- Spatial quorum sensing modelling using coloured hybrid Petri nets and simulative model checking.BMC bioinformatics · 2019Article
- Modeling Quorum Sensing Dynamics and Interference onFrontiers in microbiology · 2019Article
- Information transmission in microbial and fungal communication: from classical to quantum.Journal of cell communication and signaling · 2018Article
- Regulation of bacteria population behaviors by AI-2 "consumer cells" and "supplier cells".BMC microbiology · 2017Article
- Autoinducer-2 Quorum Sensing Influences Viability ofFrontiers in microbiology · 2017Article
- Article
- Gene network homology in prokaryotes using a similarity search approach: queries of quorum sensing signal transduction.PLoS computational biology · 2012Article
- LsrR quorum sensing "switch" is revealed by a bottom-up approach.PLoS computational biology · 2011Article
- LuxS coexpression enhances yields of recombinant proteins in Escherichia coli in part through posttranscriptional control of GroEL.Applied and environmental microbiology · 2011Article
- Noise regulation by quorum sensing in low mRNA copy number systems.BMC systems biology · 2011Article
- Stochastic modeling of gene positive autoregulation networks involving signal molecules.Biophysical journal · 2008Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quorum sensing (QS) is an important determinant of bacterial phenotype. Many cell functions are regulated by intricate and multimodal QS signal transduction processes. The LuxS/AI-2 QS system is highly conserved among Eubacteria and AI-2 is reported as a 'universal' signal molecule. To understand the hierarchical organization of AI-2 circuitry, a comprehensive approach incorporating stochastic simulations was developed. We investigated the synthesis, uptake, and regulation of AI-2, developed testable hypotheses, and made several discoveries: (1) the mRNA transcript and protein levels of AI-2 synthases, Pfs and LuxS, do not contribute to the dramatically increased level of AI-2 found when cells are grown in the presence of glucose; (2) a concomitant increase in metabolic flux through this synthesis pathway in the presence of glucose only partially accounts for this difference. We predict that 'high-flux' alternative pathways or additional biological steps are involved in AI-2 synthesis; and (3) experimental results validate this hypothesis. This work demonstrates the utility of linking cell physiology with systems-based stochastic models that can be assembled de novo with partial knowledge of biochemical pathways.
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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.