The development of fast and affordable microbial production from recombinant pathways is a challenging endeavor, with targeted improvements difficult to predict due to the complex nature of living systems. To address the limitations in biosynthetic pathways, much work has been done to generate large libraries of various genetic parts (promoters, RBSs, enzymes, etc.) to discover library members that bring about significantly improved levels of metabolite production. To evaluate these large libraries, high throughput approaches are necessary, such as those that rely on biosensors. There are various modes of operation to apply biosensors to library screens that are available at different scales of throughput. The effectiveness of each biosensor-based method is dependent on the pathway or strain to which it is applied, and all approaches have strengths and weaknesses to be carefully considered for any high throughput library screen. In this review, we discuss the various approaches used in biosensor screening for improved metabolite production, focusing on transcription factor-based biosensors.

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有效使用生物传感器进行代谢物生产的高通量文库筛选

从重组途径开发快速且负担得起的微生物生产是一项具有挑战性的工作，由于生命系统的复杂性，很难预测有针对性的改进。为了解决生物合成途径的局限性，已经做了大量工作来生成各种遗传部分（启动子、RBS、酶等）的大型文库，以发现能够显着提高代谢物生产水平的文库成员。为了评估这些大型图书馆，高通量方法是必要的，例如那些依赖生物传感器的方法。有多种操作模式可将生物传感器应用于不同吞吐量规模的图书馆屏幕。每种基于生物传感器的方法的有效性取决于它所应用的途径或菌株，对于任何高通量库筛选，所有方法都有优点和缺点，需要仔细考虑。在这篇综述中，我们讨论了用于改进代谢物生产的生物传感器筛选的各种方法，重点是基于转录因子的生物传感器。