Validation of ttg operon system-based E. coli biosensor for quantitative monitoring of resveratrol biosynthesis

IF 4.2 3区 农林科学 Q3 FOOD SCIENCE & TECHNOLOGY
Kyeongseok Song, Haekang Ji, Jikang Bae, Geupil Jang, Youngdae Yoon
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引用次数: 0

Abstract

Transcription factor (TF)-based whole-cell biosensors provide genetically encoded tools for detecting intracellular metabolites and have potential applications in monitoring microbial biosynthetic processes. TtgR, a multidrug-responsive transcriptional repressor from Pseudomonas putida, responds to several flavonoids, including resveratrol, and has previously been developed as a whole-cell biosensor for quantitative detection of flavonoids using authentic standards. In this study, we extended the application of the TtgR-based biosensor to the quantitative monitoring of resveratrol produced through a heterologous biosynthetic pathway in engineered Escherichia coli. Resveratrol production was monitored over time using the TtgR-based biosensor, and the estimated concentrations were compared with those determined by HPLC. The biosensor-derived concentrations showed relative agreement of 92.7–93.8% with the corresponding HPLC measurements, supporting the quantitative applicability of the biosensor for monitoring metabolite production in a microbial production system. In addition, ligand-response profiles of TtgR WT and selected engineered variants were independently evaluated in this study using resveratrol, quercetin, and naringenin. The engineered variants exhibited distinct ligand-response profiles, suggesting the potential extension of the TtgR-based sensing platform to other flavonoid production pathways. These results demonstrate the application of a previously established TtgR-based sensing platform beyond analytical characterization with authentic standards toward quantitative monitoring of biosynthetically produced metabolites in engineered microbial systems.

基于ttg操纵子系统的大肠杆菌生物传感器用于白藜芦醇生物合成定量监测的验证
基于转录因子(TF)的全细胞生物传感器为检测细胞内代谢物提供了遗传编码工具,并在监测微生物生物合成过程中具有潜在的应用前景。TtgR是一种来自恶臭假单胞菌的多药应答转录抑制因子,对几种黄酮类化合物(包括白藜芦醇)有应答,并已被开发为一种全细胞生物传感器,用于使用真实标准定量检测黄酮类化合物。在本研究中,我们将基于ttgr的生物传感器的应用扩展到工程大肠杆菌中通过异源生物合成途径产生的白藜芦醇的定量监测。使用基于ttgr的生物传感器随时间监测白藜芦醇的生产,并将估计浓度与HPLC测定的浓度进行比较。生物传感器衍生的浓度与相应的HPLC测量值的相对一致性为92.7-93.8%,支持生物传感器在微生物生产系统中监测代谢物产生的定量适用性。此外,在本研究中,使用白藜芦醇、槲皮素和柚皮素独立评估了TtgR WT和选定的工程变体的配体响应谱。这些工程变体表现出不同的配体响应谱,表明基于ttgr的传感平台可能扩展到其他类黄酮生产途径。这些结果证明了先前建立的基于ttgr的传感平台在工程微生物系统中生物合成代谢物定量监测方面的应用,超出了具有真实标准的分析表征。
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来源期刊
Applied Biological Chemistry
Applied Biological Chemistry Chemistry-Organic Chemistry
CiteScore
5.40
自引率
6.20%
发文量
70
审稿时长
20 weeks
期刊介绍: Applied Biological Chemistry aims to promote the interchange and dissemination of scientific data among researchers in the field of agricultural and biological chemistry. The journal covers biochemistry and molecular biology, medical and biomaterial science, food science, and environmental science as applied to multidisciplinary agriculture.
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