Presentation Information
[2ASBA-13]Sensor-guided discovery, evolution, and design
○Gyoo Yeol Jung1 (1. POSTECH (Korea))
Keywords:
Sensor,Evolution,Design,Plastic Upcycling,Synthetic Biology
Advancing synthetic biology requires engineering strategies that move beyond rational pathway optimization toward systematic discovery of new chassis organisms, genetic targets, and community behaviors. We present an integrated framework of sensor-guided discovery, evolution, and design, in which metabolite-responsive genetic circuits actively couple production phenotypes to selection and strain improvement.
Using a conjugation-based, biosensor-driven platform (SCOUT), we mined environmental microbial diversity under defined substrate conditions and identified tool-compatible hosts, including Pseudomonas postechii TPA1, capable of rapid terephthalic acid assimilation and direct conversion to value-added products. We further developed iTARGET, which integrates in situ transposon mutagenesis, biosensor-guided enrichment, Tn-seq, and multiplex genome engineering to uncover unpredictable knockout targets and synergistic gene combinations within a single workflow, substantially enhancing metabolic production. Beyond genome-scale discovery, biosensors enabled kinetic and population-level control: engineered non-natural enzymatic reactions achieved kinetic compartmentalization for improved itaconate production, and a circuit-guided population control strategy dynamically optimized synthetic consortia for enhanced biochemical synthesis from marine biomass.
Collectively, this work establishes biosensors as programmable drivers of microbial discovery and design.
Using a conjugation-based, biosensor-driven platform (SCOUT), we mined environmental microbial diversity under defined substrate conditions and identified tool-compatible hosts, including Pseudomonas postechii TPA1, capable of rapid terephthalic acid assimilation and direct conversion to value-added products. We further developed iTARGET, which integrates in situ transposon mutagenesis, biosensor-guided enrichment, Tn-seq, and multiplex genome engineering to uncover unpredictable knockout targets and synergistic gene combinations within a single workflow, substantially enhancing metabolic production. Beyond genome-scale discovery, biosensors enabled kinetic and population-level control: engineered non-natural enzymatic reactions achieved kinetic compartmentalization for improved itaconate production, and a circuit-guided population control strategy dynamically optimized synthetic consortia for enhanced biochemical synthesis from marine biomass.
Collectively, this work establishes biosensors as programmable drivers of microbial discovery and design.
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