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Bacterial chemotaxis without gradient-sensing

机译:细菌趋化性,无梯度感应

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摘要

Chemotaxis models are based on spatial or temporal gradient measurements by individual organisms. The key contribution of Keller and Segel (J Theor Biol 30:225-234, 1971a; J Theor Biol 30:235-248, 1971b) is showing that erratic measurements of individuals may result in an accurate chemotaxis phenomenon as a group. In this paper we provide another option to understand chemotactic behavior when individuals do not sense the gradient of chemical concentration by any means. We show that, if individuals increase their dispersal rate to find food when there is not enough food, an accurate chemotactic behavior may be obtained without sensing the gradient. Such a dispersal has been suggested by Cho and Kim (Bull Math Biol 75:845-870, 2013) and was called starvation driven diffusion. This model is surprisingly similar to the original Keller-Segel model. A comprehensive picture of traveling bands and fronts is provided.
机译:趋化性模型基于单个生物体的空间或时间梯度测量。 Keller和Segel(J Theor Biol 30:225-234,1971a; J Theor Biol 30:235-248,1971b)的关键贡献表明,对个体的不稳定测量可能会导致一个群体产生准确的趋化现象。在本文中,我们提供了另一种选择来理解当个人无法以任何方式感觉到化学浓度梯度时的趋化行为。我们表明,如果人们在食物不足的情况下提高其分散速度以寻找食物,则可能会在不感知梯度的情况下获得准确的趋化行为。 Cho和Kim(Bull Math Biol 75:845-870,2013)提出了这样的分散方式,称为饥饿驱动扩散。该模型令人惊讶地类似于原始的Keller-Segel模型。提供了旅行乐队和前线的全面图片。

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