Design and modelling of an engineered bacteria-based, pressure-sensitive soil
Design and modelling of an engineered bacteria-based, pressure-sensitive soil
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DOI：
10.1088/1748-3190/aabe15
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发表时间：
2018-07-01
影响因子：
3.4
通讯作者：
Wipat, Anil
中科院分区：
文献类型：
--
作者：
Dade-Robertson, Martyn;Mitrani, Helen;Wipat, Anil
在本文中，我们描述了第一步的合成生物系统设计的基础上使用转基因细菌检测土壤中的高压和响应水泥土壤颗粒。例如，这样的系统可以使用可以在土壤中接种和生长的工程细菌，使自建地基能够响应负荷而形成。这一过程将减少大规模挖掘的需要，并可能成为新一代自组装和响应性生物基材料的基础。提出了一个原型计算模型，该模型将大肠杆菌细菌内的压力敏感基因的实验数据与土荷载和孔隙水压力的岩土模型相结合。通过将预期的基因表达值映射到土壤体积上来可视化来自集成模型的结果。我们还使用我们的实验数据来设计一个双组分系统，其中一种类型的细菌作为传感器，并向另一种材料合成细菌发出信号。该模拟展示了计算模型的潜力，该模型集成了从土壤中的宏观应力到单个基因表达的多个尺度，以告知新类型的设计过程。这项工作还说明了在silico（硅基计算）计算与在体内（在生活中）计算的结合。
In this paper, we describe the first steps in the design of a synthetic biological system based on the use of genetically modified bacteria to detect elevated pressures in soils and respond by cementing soil particles. Such a system might, for example, enable a self-constructed foundation to form in response to load using engineered bacteria which could be seeded and grown in the soils. This process would reduce the need for large-scale excavations and may be the basis for a new generation of self-assembling and responsive bio-based materials. A prototype computational model is presented which integrates experimental data from a pressure sensitive gene within Escherichia coli bacteria with geotechnical models of soil loading and pore water pressure. The results from the integrated model are visualised by mapping expected gene expression values onto the soil volume. We also use our experimental data to design a two component system where one type of bacteria acts as a sensor and signals to another material synthesis bacteria. The simulation demonstrates the potential of computational models which integrate multiple scales from macro stresses in soils to the expression of individual genes to inform new types of design process. The work also illustrates the combination of in silico (silicon based computing) computation with in vivo (in the living) computation.