ReviewFrontiers in cellular and infection microbiology2014
The physics of bacterial decision making.
Review in Frontiers in cellular and infection microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 36 citations in OpenAlex.
- Evolutionary bioenergetics of sporulation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- ComK-induced cell death is reversed by upregulating the SigB or Spx pathway inMicrobiology spectrum · 2025Article
- Agency as an Inherent Property of Living Organisms.Biological theory · 2024Review
- NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity.Genome biology · 2022Article
- The Role of Age, Neutrophil Infiltration and Antibiotics Timing in the Severity ofInternational journal of molecular sciences · 2020Article
- Integrated Information as a Measure of Cognitive Processes in Coupled Genetic Repressilators.Entropy (Basel, Switzerland) · 2019Article
- RNA Regulatory Networks as a Control of Stochasticity in Biological Systems.Frontiers in genetics · 2019Review
- Role of metabolic spatiotemporal dynamics in regulating biofilm colony expansion.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Bacterial Adherence and Dwelling Probability: Two Drivers of Early Alveolar Infection byFrontiers in cellular and infection microbiology · 2018Article
- Is Smaller Better? A Proposal to Use Bacteria For Neuroscientific Modeling.Frontiers in computational neuroscience · 2018Article
- A Multistate Toggle Switch Defines Fungal Cell Fates and Is Regulated by Synergistic Genetic Cues.PLoS genetics · 2016Article
- Periodic, Quasi-periodic and Chaotic Dynamics in Simple Gene Elements with Time Delays.Scientific reports · 2016Article
- Understanding of anesthesia - Why consciousness is essential for life and not based on genes.Communicative & integrative biology · 2016Article
- Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks.Integrative biology : quantitative biosciences from nano to macro · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The choice that bacteria make between sporulation and competence when subjected to stress provides a prototypical example of collective cell fate determination that is stochastic on the individual cell level, yet predictable (deterministic) on the population level. This collective decision is performed by an elaborated gene network. Considerable effort has been devoted to simplify its complexity by taking physics approaches to untangle the basic functional modules that are integrated to form the complete network: (1) A stochastic switch whose transition probability is controlled by two order parameters-population density and internal/external stress. (2) An adaptable timer whose clock rate is normalized by the same two previous order parameters. (3) Sensing units which measure population density and external stress. (4) A communication module that exchanges information about the cells' internal stress levels. (5) An oscillating gate of the stochastic switch which is regulated by the timer. The unique circuit architecture of the gate allows special dynamics and noise management features. The gate opens a window of opportunity in time for competence transitions, during which the circuit generates oscillations that are translated into a chain of short intervals with high transition probability. In addition, the unique architecture of the gate allows filtering of external noise and robustness against variations in circuit parameters and internal noise. We illustrate that a physics approach can be very valuable in investigating the decision process and in identifying its general principles. We also show that both cell-cell variability and noise have important functional roles in the collectively controlled individual decisions.
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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.