ArticlePLoS computational biology2014
Behaviors and strategies of bacterial navigation in chemical and nonchemical gradients.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Mapping Local Dissipation and Entropy Production in Complex and Active Fluids.The journal of physical chemistry letters · 2025Article
- Cooperative short- and long-range interactions enable robust symmetry breaking and axis formation.bioRxiv : the preprint server for biology · 2025Article
- Collective condensation and auto-aggregation of Escherichia coli in uniform acidic environments.Communications biology · 2024Article
- Article
- The dopamine circuit as a reward-taxis navigation system.PLoS computational biology · 2022Article
- Collective responses of bacteria to a local source of conflicting effectors.Scientific reports · 2022Article
- Temporal fluctuations in chemotaxis gain implement a simulated-tempering strategy for efficient navigation in complex environments.iScience · 2021Article
- Microfluidic techniques for separation of bacterial cells via taxis.Microbial cell (Graz, Austria) · 2020Review
- Chemotactic behaviour of Escherichia coli at high cell density.Nature communications · 2019Article
- Maximal information transmission is compatible with ultrasensitive biological pathways.Scientific reports · 2019Article
- Escape band inProceedings of the National Academy of Sciences of the United States of America · 2019Article
- Behavioral Variability and Phenotypic Diversity in Bacterial Chemotaxis.Annual review of biophysics · 2018Review
- Barrier Crossing in Escherichia coli Chemotaxis.Physical review letters · 2017Article
- Interplay of chemical and thermal gradient on bacterial migration in a diffusive microfluidic device.Biomicrofluidics · 2017Article
- Article
- pH-Taxis of Biohybrid Microsystems.Scientific reports · 2015Article
- Precision and variability in bacterial temperature sensing.Biophysical journal · 2015Article
- Predicting chemical environments of bacteria from receptor signaling.PLoS computational biology · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Navigation of cells to the optimal environmental condition is critical for their survival and growth. Escherichia coli cells, for example, can detect various chemicals and move up or down those chemical gradients (i.e., chemotaxis). Using the same signaling machinery, they can also sense other external factors such as pH and temperature and navigate from both sides toward some intermediate levels of those stimuli. This mode of precision sensing is more sophisticated than the (unidirectional) chemotaxis strategy and requires distinctive molecular mechanisms to encode and track the preferred external conditions. To systematically study these different bacterial taxis behaviors, we develop a continuum model that incorporates microscopic signaling events in single cells into macroscopic population dynamics. A simple theoretical result is obtained for the steady state cell distribution in general. In particular, we find the cell distribution is controlled by the intracellular sensory dynamics as well as the dependence of the cells' speed on external factors. The model is verified by available experimental data in various taxis behaviors (including bacterial chemotaxis, pH taxis, and thermotaxis), and it also leads to predictions that can be tested by future experiments. Our analysis help reveal the key conditions/mechanisms for bacterial precision-sensing behaviors and directly connects the cellular taxis performances with the underlying molecular parameters. It provides a unified framework to study bacterial navigation in complex environments with chemical and non-chemical stimuli.
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Registered trials
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