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.
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.