论文标题
稳态运行速度设定了游泳细菌种群积累的速度和准确性
Steady state running rate sets the speed and accuracy of accumulation of swimming bacterial populations
论文作者
论文摘要
我们研究了经过运行的遗传相同游泳细菌群的趋化性，并由鞭毛旋转系统的顺时针和逆时针旋转之间的随机切换驱动。理解趋化性的定量要求将趋化剂/驱虫剂梯度的旋转系统的切换速率与细菌群体效率的实验度量联系起来。在这里，我们通过使用概率模型来实现这一目标，并表明人群对梯度的响应很复杂。我们发现表型的变化（在没有梯度的情况下稳态切换速率）会影响响应的平均速度以及分布的宽度，并且必须考虑两者，以优化复杂环境中人群的整体响应。这是由于个人在分布的“尾巴”中的行为。因此，我们表明，对于趋化性，非典型个体的行为可能会对人口的适应性产生重大影响。
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. Understanding chemotaxis quantitatively requires that one links the switching rate of the rotary system in a gradient of chemoattractant/repellant to experimental measures of the efficiency of a population of bacteria in moving up/down the gradient. Here we achieve this by using a probabilistic model and show that the response of a population to the gradient is complex. We find the changes to a phenotype (the steady state switching rate in the absence of gradients) affects the average speed of the response as well as the width of the distribution and both must be taken into account to optimise the overall response of the population in complex environments. This is due to the behaviour of individuals in the 'tails' of the distribution. Hence we show that for chemotaxis, the behaviour of atypical individuals can have a significant impact on the fitness of a population.
