Rare-codon-tuned fluorescent biosensor for high-throughput selection of Escherichia coli strain capable of L-arginine overproduction

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.

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Publication Details

Journal
BMC Microbiology
Published
2026-05-12
DOI
https://doi.org/10.1186/s12866-026-05154-w
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
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article

Rare-codon-tuned fluorescent biosensor for high-throughput selection of Escherichia coli strain capable of L-arginine overproduction

Jing Su, Piwu Li, Han Fan, Yinuo Li et al.
BMC Microbiology
Microbial Metabolic Engineering and Bioproduction
article

Rare-codon-tuned fluorescent biosensor for high-throughput selection of Escherichia coli strain capable of L-arginine overproduction

Jing Su, Piwu Li, Han Fan, Yinuo Li, Yanwei Wei, Chuanzhuang Guo, Yi-Xiang Wang, Guanhua Jiao, Daixue Kou, Li J, Dan Li, Nan Li, Ting Wang, Ruiming Wang
article en

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.

BMC Microbiology
Qilu University of Technology (CN), Shandong Academy of Sciences (CN), Yebio Bioengineering (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Microbial Metabolic Engineering and Bioproduction
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