Winkle James J, Igoshin Oleg A, Bennett Matthew R, Josić Krešimir, Ott William
Department of Mathematics, University of Houston, Houston, TX, United States of America.
Phys Biol. 2017 Jul 28;14(5):055001. doi: 10.1088/1478-3975/aa7bae.
Advances in synthetic biology allow us to engineer bacterial collectives with pre-specified characteristics. However, the behavior of these collectives is difficult to understand, as cellular growth and division as well as extra-cellular fluid flow lead to complex, changing arrangements of cells within the population. To rationally engineer and control the behavior of cell collectives we need theoretical and computational tools to understand their emergent spatiotemporal dynamics. Here, we present an agent-based model that allows growing cells to detect and respond to mechanical interactions. Crucially, our model couples the dynamics of cell growth to the cell's environment: Mechanical constraints can affect cellular growth rate and a cell may alter its behavior in response to these constraints. This coupling links the mechanical forces that influence cell growth and emergent behaviors in cell assemblies. We illustrate our approach by showing how mechanical interactions can impact the dynamics of bacterial collectives growing in microfluidic traps.
合成生物学的进展使我们能够设计出具有预先指定特征的细菌聚集体。然而,这些聚集体的行为很难理解,因为细胞生长和分裂以及细胞外液流会导致群体内细胞的复杂、不断变化的排列。为了合理地设计和控制细胞聚集体的行为,我们需要理论和计算工具来理解它们涌现的时空动态。在这里,我们提出了一个基于主体的模型,该模型允许生长中的细胞检测并响应机械相互作用。至关重要的是,我们的模型将细胞生长动力学与细胞环境耦合起来:机械约束会影响细胞生长速率,细胞可能会根据这些约束改变其行为。这种耦合将影响细胞生长的机械力与细胞聚集体中的涌现行为联系起来。我们通过展示机械相互作用如何影响在微流体陷阱中生长的细菌聚集体的动态来说明我们的方法。