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Impact of confined geometries on hopping and trapping of motile bacteria in porous media
Physical Review E ( IF 2.2 ) Pub Date : 2021-01-25 , DOI: 10.1103/physreve.103.012611
Lazaro J Perez 1 , Tapomoy Bhattacharjee 2 , Sujit S Datta 3 , Rishi Parashar 1 , Nicole L Sund 1
Affiliation  

We use a random walk particle-tracking (RWPT) approach to elucidate the impact of porous media confinement and cell-cell interactions on bacterial transport. The model employs stochastic alternating motility states consisting of hopping movement and trapping reorientation. The stochastic motility patterns are defined based on direct visualization of individual trajectory data. We validate our model against experimental data, at single-cell resolution, of bacterial E. coli motion in three-dimensional confined porous media. Results show that the model is able to efficiently simulate the spreading dynamics of motile bacteria as it captures the impact of cell-cell interaction and pore confinement, which marks the transition to a late-time subdiffusive regime. Furthermore, the model is able to qualitatively reproduce the observed directional persistence. Our RWPT model constitutes a meshless simple method which is easy to implement and does not invoke ad hoc assumptions but represents the basis for a multiscale approach to the study of bacterial dispersal in porous systems.

中文翻译:


受限几何形状对多孔介质中运动细菌跳跃和捕获的影响



我们使用随机游走粒子跟踪(RWPT)方法来阐明多孔介质限制和细胞间相互作用对细菌运输的影响。该模型采用随机交替运动状态,包括跳跃运动和捕获重定向。随机运动模式是基于个体轨迹数据的直接可视化来定义的。我们根据细菌大肠杆菌在三维受限多孔介质中运动的单细胞分辨率实验数据验证了我们的模型。结果表明,该模型能够有效地模拟运动细菌的扩散动力学,因为它捕获了细胞间相互作用和孔隙限制的影响,这标志着向后期亚扩散状态的过渡。此外,该模型能够定性地再现观察到的方向持久性。我们的 RWPT 模型构成了一种无网格的简单方法,该方法易于实现,并且不调用临时假设,但代表了研究多孔系统中细菌扩散的多尺度方法的基础。
更新日期:2021-01-25
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