In-vivo identification and control of aerotaxis in Bacillus subtilis
In-vivo identification and control of aerotaxis in Bacillus subtilis
复制标题
枯草芽孢杆菌趋气性的体内鉴定和控制
DOI：
10.1109/cdc.2016.7798360
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Eduardo Sontag
中科院分区：
文献类型：
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作者：
F. Menolascina;R. Stocker;Eduardo Sontag
生物系统的识别和控制问题最近引起了越来越多的关注。该领域的大多数工作通常都集中在基因或蛋白质网络上。在这篇手稿中，我们重点关注信号网络中出现的行为特征的控制：趋气性，细菌朝向（或远离）氧气的定向运动。为此，我们考虑了一种被氧气强烈吸引的细菌，即枯草芽孢杆菌，并且当暴露于微流体装置中产生的严格控制的氧气梯度时，我们定量地探讨了这种微生物种群积累的动态。将体内实验与系统识别方法相结合，我们确定了枯草芽孢杆菌的简单趋气模型，随后我们使用该模型来计算实现细菌群体质心调节所需的氧梯度序列。然后，我们成功验证了模型和控制方案，表明可以通过在开环配置中应用预先计算的输入来实现体内定位控制。
Problems of identification and control of biological systems have recently attracted an increasing amount of attention. Most work in this field has classically focused either on gene or protein networks. In this manuscript, we focus on the control of a behavioral trait emerging from a signaling network: aerotaxis, the directed motion of bacteria towards (or away from) oxygen. To do so, we consider a bacterium, Bacillus subtilis, which is strongly attracted by oxygen, and we quantitatively probe the dynamics of accumulation of populations of this microorganism when exposed to tightly controlled gradients of oxygen generated in a microfluidic device. Combining in-vivo experiments with system identification methods, we determine a simple model of aerotaxis in B. subtilis, and we subsequently employ this model in order to compute the sequence of oxygen gradients needed to achieve regulation of the center of mass of the bacterial population. We then successfully validate both the model and the control scheme, by showing that in-vivo positioning control can be achieved via the application of the precomputed inputs in an open-loop configuration.