Steady-state running rate sets the speed and accuracy of accumulation of swimming bacteria.
Steady-state running rate sets the speed and accuracy of accumulation of swimming bacteria.
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DOI：
10.1016/j.bpj.2022.08.012
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发表时间：
2022-09-20
影响因子：
3.4
通讯作者：
Liverpool, Tanniemola B.
中科院分区：
文献类型：
--
作者：
Voliotis, Margaritis;Rosko, Jerko;Pilizota, Teuta;Liverpool, Tanniemola B.
我们研究了一群基因相同的游泳细菌的趋化性，这些细菌在鞭毛旋转系统的顺时针和逆时针旋转之间随机切换驱动下进行奔跑和翻滚动力学，其中切换的稳态速率在不同环境下发生变化。定量地理解趋化性需要将旋转系统的测量稳态开关率，以及单个游泳细菌在化学引诱剂/驱避剂梯度中的方向变化，与细菌群体在梯度上/下移动的效率联系起来。在这里，我们通过使用一个概率模型，用我们的实验数据参数化来实现这一点，并表明群体对梯度的响应是复杂的。我们发现，在没有梯度的情况下，稳态切换速率的变化会影响游动细菌群体响应的平均速度以及分布的宽度。在优化复杂环境中人口的总体反应时，必须考虑到这两者。
We study the chemotaxis of a population of genetically identical swimming bacteria undergoing run and tumble dynamics driven by stochastic switching between clockwise and counterclockwise rotation of the flagellar rotary system, where the steady-state rate of the switching changes in different environments. Understanding chemotaxis quantitatively requires that one links the measured steady-state switching rates of the rotary system, as well as the directional changes of individual swimming bacteria in a gradient of chemoattractant/repellant, to the efficiency of a population of bacteria in moving up/down the gradient. Here we achieve this by using a probabilistic model, parametrized with our experimental data, and show that the response of a population to the gradient is complex. We find the changes to the steady-state switching rate in the absence of gradients affect the average speed of the swimming bacterial population response as well as the width of the distribution. Both must be taken into account when optimizing the overall response of the population in complex environments.
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