Modeling Growth and Quorum Sensing in Biofilms Grown in Microfluidic Chambers
Modeling Growth and Quorum Sensing in Biofilms Grown in Microfluidic Chambers
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DOI：
10.1007/s10439-009-9671-8
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发表时间：
2009-06-01
影响因子：
3.8
通讯作者：
Baskaran, Harihara
中科院分区：
文献类型：
--
作者：
Janakiraman, Vijay;Englert, Derek;Baskaran, Harihara
生物膜是由多种细菌协同形成的高度组织化的结构。群体感应（Quorum sensing， QS）是细菌在生物膜形成过程中使用的一种细胞间通讯机制。生物膜的形成被广泛认为是通过一系列空间和时间调控的定植事件发生的。虽然存在一些描述生物膜发育的数学模型，但这些模型都是为开放系统开发的，不适用于生物膜发育和流体动力学相互关联的封闭系统。在这里，我们报告了一个数学模型的发展，描述QS和生物膜的形成在一个封闭的系统，如微流体通道。该模型考虑了外部环境，即微流控通道内的质量和动量传递对QS和生物膜发育的影响。通过在微流控室中培养铜绿假单胞菌PA14生物膜，验证了模型预测的生物膜厚度，并反映了生物膜群落发育、质量运输和水动力学之间的相互作用。我们的QS模型有望指导封闭系统中的实验设计，以解决生物膜发育过程中QS的时空问题，并可能通过破坏QS时空动态来控制生物膜形成的新方法。
Biofilms are highly organized structures coordinately formed by multiple species of bacteria. Quorum sensing (QS) is one cell-cell communication mechanism that is used by bacteria during biofilm formation. Biofilm formation is widely acknowledged to occur through a sequence of spatially and temporally regulated colonization events. While several mathematical models exist for describing biofilm development, these have been developed for open systems and are not applicable to closed systems where biofilm development and hydrodynamics are interlinked. Here, we report the development of a mathematical model describing QS and biofilm formation in a closed system such as a microfluidic channel. The model takes into account the effect of the external environment viz the mass and momentum transport in the microfluidic channel on QS and biofilm development. Model predictions of biofilm thickness were verified experimentally by developing Pseudomonas aeruginosa PA14 biofilms in microfluidic chambers and reflect the interplay between the dynamics of biofilm community development, mass transport, and hydrodynamics. Our QS model is expected to guide the design of experiments in closed systems to address spatio-temporal aspects of QS in biofilm development and can lead to novel approaches for controlling biofilm formation through disruption of QS spatio-temporal dynamics.