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February 28, 2026Journal of Agricultural and Food Chemistry0 citations

A Toxin-Antitoxin-Driven Biosensor Platform for the Directed Evolution of d -Allulose 3-Epimerase

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YHYuying HanJLJin LiYHYaxin He

Key Points

  • The aim is to develop a toxin-antitoxin-based high-throughput screening platform for engineering d-allulose 3-epimerase.
  • Developed toxin-antitoxin-based high-throughput screening platform (TASP)
  • Engineered d-allulose-responsive biosensor with expanded dynamic range
  • Utilized mCherry as a reporter gene for visual and quantitative monitoring
  • Identified variants through cell growth phenotypes
  • M4-2 variant shows 5.2-fold increase in catalytic activity
  • M4-2 variant exhibits 3.5-fold increase in half-life at 60 °C
  • Dynamic range of the biosensor expanded to 150 mM d-allulose
  • Signal-to-noise ratio improved by 14.2-fold

Abstract

Biosensor-assisted growth-coupled screening facilitates the directed evolution of enzymes. However, antibiotic resistance-dependent screening tools generally suffer from declining selection pressure. To overcome this limitation, we developed a toxin-antitoxin-based high-throughput screening platform (TASP) for engineering d-allulose 3-epimerase (DAE), driven by a redesigned d-allulose-responsive biosensor (DB). Engineering the pPsiA promoter expanded its dynamic range to 150 mM d-allulose and enhanced signal-to-noise ratio by 14.2-fold. The TASP incorporates the toxin-antitoxin (AtaT-AtaR) as a sustainable and cell-autonomous selection pressure, where mCherry is used as a reporter gene. This design precisely links DAE catalytic activity to cell growth phenotypes, enabling both visual monitoring and quantitative analysis to rapidly identify variants. Using TASP, we identified the mutant M4-2 (W14C/G67A/L151Y/F245 K), which exhibits a 5.2-fold increase in catalytic activity and a 3.5-fold increase in half-life at 60 °C. This work establishes a reliable platform for high-throughput screening of DAE variants and advances the development of growth-coupled selection strategies.

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Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/69a286240a974eb0d3c00e56https://doi.org/10.1021/acs.jafc.5c14135
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