Department of Physics, Technion, Haifa, Israel.
PLoS Comput Biol. 2011 Dec;7(12):e1002283. doi: 10.1371/journal.pcbi.1002283. Epub 2011 Dec 1.
Escherichia coli (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.
大肠杆菌(E. coli)细菌会根据过去经历的营养浓度,在奔跑和翻滚模式之间切换,从而控制它们的轨迹。在短时间内,人们观察到细菌群体的漂移,而在长时间内,人们观察到在高营养区域的积累。最近的研究将趋化作用视为向有利区域漂移和在有利区域积累之间的妥协。许多早期的研究假设细菌在翻滚时会重置其记忆——这一事实与实验不符——并利用近似的粗粒化描述。在这里,我们在不依赖任何记忆重置的情况下重新研究趋化作用问题。我们发现,当细菌以非适应性方式对环境做出反应时,趋化作用通常由扩散主导,而当细菌以适应性方式做出反应时,趋化作用则由运动中的偏差主导。在适应性情况下,有利的漂移伴随着有利的积累。我们从详细的模拟和各种分析论证中得出了我们的结果。特别是,我们引入了一种新的趋化作用的粗粒化描述,即有偏差的扩散,并讨论了它与旧的粗粒化描述的偏离方式。