组成图示
示意图生成中
传感器类型
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检测对象
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检测原理
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检测灵敏度
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效应效果
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传感器的构成
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中文摘要
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英文摘要
Because high-throughput screening tools are typically unavailable when using the pathway-engineering approach, we developed a new strategy, named intermediate sensor-assisted push-pull strategy, which enables sequential pathway optimization by incorporating a biosensor targeting a key pathway intermediate. As proof of concept, we constructed an L-Trp biosensor and used it to optimize the deoxyviolacein biosynthetic pathway, which we divided into two modules with L-Trp being the product of the upstream and the substrate of the downstream module for deoxyviolacein synthesis. Using the biosensor and fluorescence-activated cell sorting, the activities of the two modules were sequentially and independently optimized in Escherichia coli to achieve the desired phenotypes. By this means, we increased the deoxyviolacein titer 4.4-fold (1.92 g/L), which represents the greatest deoxyviolacein production reported. This work suggests that a biosynthetic pathway can be enhanced to produce a value-added secondary metabolite(s) without available end-product screening method by using a central metabolic junction molecule biosensor(s).