Chemotaxis When Bacteria Remember: Drift versus Diffusion
arXiv:1103.5355 · doi:10.1371/journal.pcbi.1002283
Abstract
{\sl Escherichia coli} ({\sl E. coli}) bacteria govern their trajectories by switching between running and tumbling modes as a function of the nutrient concentration they experienced in the past. At short time one observes a drift of the bacterial population, while at long time one observes accumulation in high-nutrient regions. Recent work has viewed chemotaxis as a compromise between drift toward favorable regions and accumulation in favorable regions. A number of earlier studies assume that a bacterium resets its memory at tumbles -- a fact not borne out by experiment -- and make use of approximate coarse-grained descriptions. Here, we revisit the problem of chemotaxis without resorting to any memory resets. We find that when bacteria respond to the environment in a non-adaptive manner, chemotaxis is generally dominated by diffusion, whereas when bacteria respond in an adaptive manner, chemotaxis is dominated by a bias in the motion. In the adaptive case, favorable drift occurs together with favorable accumulation. We derive our results from detailed simulations and a variety of analytical arguments. In particular, we introduce a new coarse-grained description of chemotaxis as biased diffusion, and we discuss the way it departs from older coarse-grained descriptions.
Revised version, journal reference added
References in corpus (6)
- Statistical Mechanics of Interacting Run-and-Tumble Bacteria
- Arrested phase separation in reproducing bacteria: a generic route to pattern formation?
- Self-Starting Micromotors in a Bacterial Bath
- Lattice Models of Nonequilibrium Bacterial Dynamics
- The Bacterial Chemotactic Response Reflects a Compromise Between Transient and Steady State Behavior
- Steady-State Chemotactic Response in E. coli
Cited by in corpus (22)
- Diffusive transport without detailed balance in motile bacteria: Does microbiology need statistical physics?
- Non-reciprocity across scales in active mixtures
- Characterization and Control of the Run-and-Tumble Dynamics of {\it Escherichia Coli}
- Lamellar to micellar phases and beyond: when tactic active systems admit free-energy functionals
- Markovian robots: minimal navigation strategies for active particles
- Calorimetry for active systems
- Run-and-Tumble particle in inhomogeneous media in one dimension
- Quantitative characterization of run-and-tumble statistics in bulk bacterial suspensions
- Critical patch size reduction by heterogeneous diffusion
- Optimal methylation noise for best chemotactic performance of {\sl E. coli}
- Optimal search in E.coli chemotaxis
- Fluctuating hydrodynamics of active particles interacting via taxis and quorum sensing: static and dynamics
- Effect of receptor clustering on chemotactic performance of Escherichia coli: sensing versus adaptation
- Run-and-tumble motion with step-like responses to a stochastic input
- Run-and-tumble chemotaxis using reinforcement learning
- Effect of switching time scale of receptor activity on chemotactic performance of Escherichia coli
- A path-integral formulation of the run and tumble motion and chemotaxis in Escherichia coli
- Effect of receptor cooperativity on methylation dynamics in bacterial chemotaxis with weak and strong gradient
- Short time extremal response to step stimulus for a single cell {\sl E. coli}
- Bacterial Chemotaxis in a Traveling Wave Attractant Environment
- Run-and-tumble particle with saturating rates
- Dynamics of chemo-receptor activity with time-periodic attractant field