Learning the space-time phase diagram of bacterial swarm expansion
Learning the space-time phase diagram of bacterial swarm expansion
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DOI：
10.1073/pnas.1811722116
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发表时间：
2019-01-29
影响因子：
11.1
通讯作者：
Drescher, Knut
中科院分区：
文献类型：
--
作者：
Jeckel, Hannah;Jelli, Eric;Drescher, Knut
活性物质中各个组成部分的协调动力学是所有尺度上生命的一个重要方面。由于适用于多尺度动力学的数据采集和分析技术的局限性，在细胞内、细胞间和宏观行为之间建立全面的因果关系仍然是一个重大挑战。在这里，我们结合联合收割机的高通量自适应显微镜的方法与机器学习，以确定关键的生物和物理机制，确定不同的微观和宏观的集体行为阶段，发展为枯草芽孢杆菌群扩展超过五个数量级的空间。我们的实验，连续建模和基于粒子的模拟表明，宏观群体扩张主要是由细胞生长动力学驱动，而微观群体运动阶段主要是由物理细胞-细胞相互作用。这些结果提供了一个统一的理解，细菌的多尺度行为的复杂性在群体。
Coordinated dynamics of individual components in active matter are an essential aspect of life on all scales. Establishing a comprehensive, causal connection between intracellular, intercellular, and macroscopic behaviors has remained a major challenge due to limitations in data acquisition and analysis techniques suitable for multiscale dynamics. Here, we combine a high-throughput adaptive microscopy approach with machine learning, to identify key biological and physical mechanisms that determine distinct microscopic and macroscopic collective behavior phases which develop as Bacillus subtilis swarms expand over five orders of magnitude in space. Our experiments, continuum modeling, and particle-based simulations reveal that macroscopic swarm expansion is primarily driven by cellular growth kinetics, whereas the microscopic swarming motility phases are dominated by physical cell-cell interactions. These results provide a unified understanding of bacterial multiscale behavioral complexity in swarms.