Rare-codon-tuned fluorescent biosensor for high-throughput selection of Escherichia coli strain capable of L-arginine overproduction
Abstract
BACKGROUND: Rapid advancements in complex engineered metabolic system design have not been matched by corresponding screening and identification capabilities for high-performing microbial variants, creating considerable pacing constraints in strain development. Therefore, advancing high-throughput phenotyping methods is essential for propelling synthetic biology and metabolic engineering towards scalable biomanufacturing. RESULTS: Accordingly, we developed a rare codon-dependent fluorescent biosensor that enables real-time, high-content monitoring of intracellular L-arginine accumulation. This system employed L-arginine-rich peptide modules that are engineered with AGG rare codons fused to the StayGold fluorescent protein, developing a stringent link between fluorescence intensity and cytoplasmic L-arginine levels. By integrating ultraviolet mutagenesis with fluorescence-activated cell sorting, we efficiently isolated superior producers from an engineered Escherichia coli ARG library, achieving a screening efficiency of 55.12%. The top-performing isolate, E. coli ARG-B10, exhibited a 94.8% enhancement in L-arginine production. Its plasmid-cured derivative, E. coli B10, was used for scale-up fermentation, attaining a 120.5 g/L titer and 0.45 g/g glucose yield under industrially relevant conditions. Genomic analysis revealed missense mutations in key metabolic genes (coaBC, gst, yihU, and fruB), indicating improvements in the precursor supply and redox management. CONCLUSION: This biosensor platform operates independently of orthogonal translation systems and is readily applicable to wild-type strains, offering a powerful and generalizable tool for accelerating microbial strain optimization.
Fields of Study & Subjects
Microbial Metabolic Engineering and Bioproduction
RNA and protein synthesis mechanisms
Monoclonal and Polyclonal Antibodies Research
Publication details
- Journal / source
- BMC Microbiology
- Publisher
- Springer Science and Business Media LLC
- Volume
- 26
- Issue
- 1
- Publication date
- 12 May 2026
- Language
- EN