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基于代谢物的生物传感器在天然产物发现和过量生产中的应用。

Metabolite-based biosensors for natural product discovery and overproduction.

机构信息

Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China.

Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; Georgia Tech Shenzhen Institute, Tianjin University, Tangxing Road 133, Nanshan District, Shenzhen 518071, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, Tianjin 300072, China.

出版信息

Curr Opin Biotechnol. 2022 Jun;75:102699. doi: 10.1016/j.copbio.2022.102699. Epub 2022 Feb 26.

Abstract

Natural products derived from bacterial secondary metabolites contribute greatly to the pharmaceutical industry. Heterologous expression of natural product biosynthetic pathways can remarkably improve the yield of target products and lead to the discovery of numerous derivatives. Therefore, high-throughput analytical methods are urgently needed for the detection of natural products. Biosensors allow fast, real-time detection and efficient screening. With the growth of in-depth knowledge of biosensors, biosensors with high efficiency and specificity are exploited for broader applications. Here, we summarized how biosensors targeting different metabolites were constructed and optimized and the applications of metabolite-based biosensors in heterologous bacterial hosts. Finally, we prospected the future development of biosensors, including combinations with other advanced technologies, to solve the challenges hampering wider applications.

摘要

来源于细菌次级代谢产物的天然产物为制药工业做出了巨大贡献。天然产物生物合成途径的异源表达可以显著提高目标产物的产量,并导致许多衍生物的发现。因此,迫切需要高通量分析方法来检测天然产物。生物传感器允许快速、实时检测和高效筛选。随着对生物传感器深入了解的增长,开发了具有高效率和特异性的生物传感器以实现更广泛的应用。在这里,我们总结了针对不同代谢物的生物传感器的构建和优化方法,以及基于代谢物的生物传感器在异源细菌宿主中的应用。最后,我们展望了生物传感器的未来发展,包括与其他先进技术的结合,以解决阻碍更广泛应用的挑战。

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