Winkle James J, Saha Soutick, Essman Joseph, Bennett Matthew R, Ott William, Josić Krešimir, Mugler Andrew
Department of Mathematics, University of Houston.
Department of Physics and Astronomy, Purdue University.
bioRxiv. 2023 Jan 20:2023.01.20.524904. doi: 10.1101/2023.01.20.524904.
Microbial communities such as swarms or biofilms often form at the interfaces of solid substrates and open fluid flows. At the same time, in laboratory environments these communities are commonly studied using microfluidic devices with media flows and open boundaries. Extracellular signaling within these communities is therefore subject to different constraints than signaling within classic, closed-boundary systems such as developing embryos or tissues, yet is understudied by comparison. Here, we use mathematical modeling to show how advective-diffusive boundary flows and population geometry impact cell-cell signaling in monolayer microbial communities. We reveal conditions where the intercellular signaling lengthscale depends solely on the population geometry and not on diffusion or degradation, as commonly expected. We further demonstrate that diffusive coupling with the boundary flow can produce signal gradients within an isogenic population, even when there is no flow within the population. We use our theory to provide new insights into the signaling mechanisms of published experimental results, and we make several experimentally verifiable predictions. Our research highlights the importance of carefully evaluating boundary dynamics and environmental geometry when modeling microbial cell-cell signaling and informs the study of cell behaviors in both natural and synthetic systems.
诸如群体或生物膜之类的微生物群落通常在固体基质与开放流体流动的界面处形成。与此同时,在实验室环境中,这些群落通常使用具有介质流动和开放边界的微流控装置进行研究。因此,与经典的封闭边界系统(如发育中的胚胎或组织)中的信号传导相比,这些群落中的细胞外信号传导受到不同的限制,但相比之下却研究不足。在这里,我们使用数学建模来展示平流扩散边界流和群体几何形状如何影响单层微生物群落中的细胞间信号传导。我们揭示了细胞间信号长度尺度仅取决于群体几何形状而不取决于扩散或降解的条件,这与通常的预期不同。我们进一步证明,即使群体内部没有流动,与边界流的扩散耦合也可以在同基因群体中产生信号梯度。我们利用我们的理论对已发表实验结果的信号传导机制提供新的见解,并做出几个可通过实验验证的预测。我们的研究强调了在对微生物细胞间信号传导进行建模时仔细评估边界动力学和环境几何形状的重要性,并为自然和合成系统中的细胞行为研究提供了参考。