ArticleMicrobiology and molecular biology reviews : MMBR2015
Core principles of bacterial autoinducer systems.
Article in Microbiology and molecular biology reviews : MMBR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
84 citing papers in PubMed, 186 citations in OpenAlex.
- Bacilli the most important biocontrol agent in Brazilian agriculture: from mechanisms of action to market adoption.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Review
- Algal Betaine Triggers Bacterial Hydrogen Peroxide Production that Promotes Algal Demise.Nature communications · 2026Article
- Rethinking Microbial Chemical Ecology: Secondary Metabolites as Concentration-Dependent Signaling Hubs with Implications for Anti-Virulence Intervention.Microorganisms · 2026Review
- Hijacking the signal: a critical evaluation of quorum sensing inhibitors as a next-generation approach against Staphylococcus aureus.Cell communication and signaling : CCS · 2026Review
- Phenotypic heterogeneity in a batch culture of Chlamydomonas reinhardtii with different light tolerances.PloS one · 2026Article
- Antibiotic Alternatives and Next-Generation Therapeutics forAntibiotics (Basel, Switzerland) · 2025Review
- The acquisition of additional control over quorum sensing regulation reduces the variability of final cell density in Burkholderia.Communications biology · 2025Article
- Impeding Quorum Sensing Among the Intestinal Microbiota Impacts the Metastatic Rate of Colorectal Cancer.Cancer medicine · 2025Article
- Quorum quenching enzymes disrupt bacterial communication in a sex- and dose-dependent manner.Animal models and experimental medicine · 2025Article
- Chemical Conversations.Molecules (Basel, Switzerland) · 2025Review
- Targeting quorum sensing for manipulation of commensal microbiota.BMC biotechnology · 2024Review
- Article
- Cellular diffusion processes in singularly perturbed domains.Journal of mathematical biology · 2024Review
- Coumarins: Quorum Sensing and Biofilm Formation Inhibition.Molecules (Basel, Switzerland) · 2024Review
- Quorum sensing-related activities of beneficial and pathogenic bacteria have important implications for plant and human health.FEMS microbiology ecology · 2024Review
- Soybean-mediated suppression of BjaI/BjaRApplied and environmental microbiology · 2024Article
- Gum Arabic as a potential candidate in quorum quenching and treatment of periodontal diseases.Frontiers in oral health · 2024Review
- Quorum sensing modulates bacterial virulence and colonization dynamics of the gastrointestinal pathogenGut microbes · 2023Article
- Advances in Material Modification with Smart Functional Polymers for Combating Biofilms in Biomedical Applications.Polymers · 2023Review
- Quorum sensing as a mechanism to harness the wisdom of the crowds.Nature communications · 2023Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryAutoinduction (AI), the response to self-produced chemical signals, is widespread in the bacterial world. This process controls vastly different target functions, such as luminescence, nutrient acquisition, and biofilm formation, in different ways and integrates additional environmental and physiological cues. This diversity raises questions about unifying principles that underlie all AI systems. Here, we suggest that such core principles exist. We argue that the general purpose of AI systems is the homeostatic control of costly cooperative behaviors, including, but not limited to, secreted public goods. First, costly behaviors require preassessment of their efficiency by cheaper AI signals, which we encapsulate in a hybrid "push-pull" model. The "push" factors cell density, diffusion, and spatial clustering determine when a behavior becomes effective. The relative importance of each factor depends on each species' individual ecological context and life history. In turn, "pull" factors, often stress cues that reduce the activation threshold, determine the cellular demand for the target behavior. Second, control is homeostatic because AI systems, either themselves or through accessory mechanisms, not only initiate but also maintain the efficiency of target behaviors. Third, AI-controlled behaviors, even seemingly noncooperative ones, are generally cooperative in nature, when interpreted in the appropriate ecological context. The escape of individual cells from biofilms, for example, may be viewed as an altruistic behavior that increases the fitness of the resident population by reducing starvation stress. The framework proposed here helps appropriately categorize AI-controlled behaviors and allows for a deeper understanding of their ecological and evolutionary functions.
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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 Socratic graph.