Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey, United States of America.
Andlinger Center for Energy and the Environment, Princeton University, Princeton, New Jersey, United States of America.
PLoS Comput Biol. 2022 May 9;18(5):e1010063. doi: 10.1371/journal.pcbi.1010063. eCollection 2022 May.
The spreading of bacterial populations is central to processes in agriculture, the environment, and medicine. However, existing models of spreading typically focus on cells in unconfined settings-despite the fact that many bacteria inhabit complex and crowded environments, such as soils, sediments, and biological tissues/gels, in which solid obstacles confine the cells and thereby strongly regulate population spreading. Here, we develop an extended version of the classic Keller-Segel model of bacterial spreading via motility that also incorporates cellular growth and division, and explicitly considers the influence of confinement in promoting both cell-solid and cell-cell collisions. Numerical simulations of this extended model demonstrate how confinement fundamentally alters the dynamics and morphology of spreading bacterial populations, in good agreement with recent experimental results. In particular, with increasing confinement, we find that cell-cell collisions increasingly hinder the initial formation and the long-time propagation speed of chemotactic pulses. Moreover, also with increasing confinement, we find that cellular growth and division plays an increasingly dominant role in driving population spreading-eventually leading to a transition from chemotactic spreading to growth-driven spreading via a slower, jammed front. This work thus provides a theoretical foundation for further investigations of the influence of confinement on bacterial spreading. More broadly, these results help to provide a framework to predict and control the dynamics of bacterial populations in complex and crowded environments.
细菌种群的传播是农业、环境和医学中各种过程的核心。然而,现有的传播模型通常集中在无约束环境中的细胞上——尽管许多细菌栖息在复杂和拥挤的环境中,例如土壤、沉积物和生物组织/凝胶,在这些环境中,固体障碍物限制了细胞,从而强烈调节种群的传播。在这里,我们通过运动对经典的 Keller-Segel 细菌传播模型进行了扩展,该模型还包含细胞生长和分裂,并明确考虑了限制对促进细胞-固体和细胞-细胞碰撞的影响。对这个扩展模型的数值模拟表明,限制如何从根本上改变了扩散细菌种群的动力学和形态,这与最近的实验结果非常吻合。特别是,随着限制的增加,我们发现细胞-细胞碰撞越来越阻碍趋化脉冲的初始形成和长时间传播速度。此外,随着限制的增加,我们发现细胞生长和分裂在驱动种群扩散方面起着越来越主导的作用——最终导致通过较慢的、堵塞的前沿从趋化扩散到生长驱动的扩散的转变。这项工作为进一步研究限制对细菌扩散的影响提供了理论基础。更广泛地说,这些结果有助于提供一个框架来预测和控制复杂和拥挤环境中细菌种群的动态。