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Updated: Jun 23, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Biosensor-driven adaptive laboratory evolution and modular pathway engineering for high-level production of
Ruirui Shi1, Qiancheng Han1, Yingxue Xu1
1Key Laboratory of Industrial Fermentation Microbiology of the Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, National Engineering Laboratory for Industrial Enzymes, Tianjin 300457, PR China.
None:
Nicotinamide mononucleotide (NMN) has notable physiological effects, but its microbial production is constrained by the limited intracellular nicotinamide (NAM) pool. Here, the transcription factor NadR was semi-rationally reprogrammed to preferentially recognize NAM over nicotinic acid (NA), generating the NAM-specific biosensor NadR-M6. A growth-coupled selection platform was established by integrating NadR-M6 with a URA3 reporter and systematically optimizing genetic components, enabling robust growth-based discrimination across an extracellular NAM range of 0.05-60 mM. When combined with adaptive laboratory evolution (ALE), this platform facilitated a 7.6-fold increase in intracellular NAM content, reaching 6.3 mg/g DCW. This result indicates that biosensor-guided selection effectively enriched cells with enhanced nicotinamide accumulation. Subsequently, modular pathway engineering was applied to convert the expanded NAM pool into NMN while attenuating downstream NAD+ consumption to balance product accumulation with cell viability. The final strain, N35, reached an intracellular NMN titer of 2.6 g/L with a content of 118.5 mg/g DCW in a 5-L bioreactor. This study establishes a biosensor-driven evolutionary high-throughput screening platform for enhancing the intracellular precursor pools and enabling the biosynthesis of high-value nicotinamide-derived metabolites in yeast.
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