State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
ACS Synth Biol. 2020 Oct 16;9(10):2714-2722. doi: 10.1021/acssynbio.0c00225. Epub 2020 Sep 21.
Genetically encoded biosensors are extensively utilized in synthetic biology and metabolic engineering. However, reported xylose biosensors are far too sensitive with a limited operating range to be useful for most sensing applications. In this study, we describe directed evolution of XylR, and construction of biosensors based on XylR and the corresponding operator . The operating range of biosensors containing the mutant XylR was increased by nearly 10-fold comparing with the control. Two individual amino acid mutations (either L73P or N220T) in XylR were sufficient to extend the linear response range to upward of 10 g/L xylose. The evolved biosensors described here are well suited for developing whole-cell biosensors for detecting varying xylose concentrations across an expanded range. As an alternative use of this system, we also demonstrate the utility of XylR and as a xylose inducible system to enable graded gene expression through testing with β-galactosidase gene and the lycopene synthetic pathway. This evolution strategy identified a less-sensitive biosensor for real applications, thus providing new insights into strategies for expanding operating ranges of other biosensors for synthetic biology applications.
基因编码生物传感器在合成生物学和代谢工程中得到了广泛应用。然而,报道的木糖生物传感器的灵敏度太高,工作范围有限,不适合大多数传感应用。在本研究中,我们描述了 XylR 的定向进化,以及基于 XylR 和相应的操纵子构建生物传感器。与对照相比,含有突变 XylR 的生物传感器的工作范围增加了近 10 倍。XylR 中的两个单个氨基酸突变(L73P 或 N220T)足以将线性响应范围扩展到 10 g/L 以上的木糖。这里描述的进化生物传感器非常适合开发用于检测扩展范围内不同木糖浓度的全细胞生物传感器。作为该系统的另一种用途,我们还展示了 XylR 和 作为木糖诱导系统的用途,通过用β-半乳糖苷酶基因和番茄红素合成途径进行测试,实现分级基因表达。这种进化策略为实际应用找到了一个灵敏度较低的生物传感器,从而为扩展其他生物传感器在合成生物学应用中的工作范围的策略提供了新的见解。