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How mathematical modelling elucidates signalling in Bacillus subtilis

机译:数学建模如何阐明枯草芽孢杆菌中的信号传导

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Appropriate stimulus perception, signal processing and transduction ensure optimal adaptation of bacteria to environmental challenges. In the Gram-positive model bacterium Bacillus subtilis signalling networks and molecular interactions therein are_ well-studied, making this species a suitable candidate for the application of mathematical modelling. Here, we review systems biology approaches, focusing on chemotaxis, sporulation, digma~B-dependent general stress response and competence. Processes like chemotaxis and Z-ring assembly depend critically on the subcellular localization of proteins. Environmental response strategies, including sporulation and competence, are characterized by pheno-typic heterogeneity in isogenic cultures. The examples of mathematical modelling also include investigations that have demonstrated how operon structure and signalling dynamics are intricately interwoven to establish optimal responses. Our review illustrates that these interdisciplinary approaches offer new insights into the response of B. subtilis to environmental challenges. These case studies reveal modelling as a tool to increase the understanding of complex systems, to help formu-lating hypotheses and to guide the design of more directed experiments that test predictions.
机译:适当的刺激感知,信号处理和转导可确保细菌最佳适应环境挑战。在革兰氏阳性模型中,对枯草芽孢杆菌的信号网络及其分子间相互作用进行了充分的研究,使该物种成为数学建模应用的合适候选者。在这里,我们回顾系统生物学方法,重点是趋化性,孢子形成,依赖digma〜B的一般应激反应和能力。趋化性和Z环组装等过程主要取决于蛋白质的亚细胞定位。环境响应策略,包括孢子形成和能力,以等基因培养物中的表型异质性为特征。数学建模的示例还包括一些研究,这些研究表明了如何将操纵子结构和信号动力学复杂地交织在一起以建立最佳响应。我们的综述表明,这些跨学科方法为枯草芽孢杆菌对环境挑战的反应提供了新的见解。这些案例研究揭示了建模是增加对复杂系统的理解,帮助公式化假设并指导设计更多测试预测的定向实验的工具。

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