Improving <scp>d</scp>-Allulose Production via Alditol Oxidase-Directed Evolution Assisted by an Artificial Genetic Circuit

As a good sucrose substitute, d-allulose has been substantially used in the food industry. In a previous work, we developed a d-allulose synthetic pathway and revealed that the alditol oxidase (AldO) is the key rate-limiting node. The laboratory-directed evolution (LDE) has been largely used for improving enzyme performance but is commonly faced with time-consuming screening processes or expensive equipment demand. In this study, we tried to develop an easy approach to obtain higher-performing AldO mutants through continuous LDE. First, we designed and validated a d-allulose-responsive genetic circuit. Next, we tuned its sensitivity and responsive range to make it suitable for growth coupling. Subsequently, the chassis fitness was coupled to d-allulose production by controlling the expression of a tetracycline exporter. Finally, the chassis equipped with the genetic circuit was used to evolve the AldO mutant library. After 3 passages, a mutant M4-15 was picked out, which produced 19.97% more d-allulose. Structural analysis showed a widened entrance of the catalytic pocket. This study achieved the continuous LDE of AldO and provided an easy and simple approach to evolve the d-allulose synthetic pathway. This study also represented a proof of concept example of accelerating the LDE evolution using an artificial genetic circuit.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-05-27
DOI
https://doi.org/10.1021/acs.jafc.4c13238
Citations
2
Primary Topic
Diet, Metabolism, and Disease
Type
article
Field-Weighted Citation Impact
2.59

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article

Improving d-Allulose Production via Alditol Oxidase-Directed Evolution Assisted by an Artificial Genetic Circuit

Yongkun Lv, Zhouyan Guo, Weigao Wang, Anqi Zhao et al.
2 citations
Journal of Agricultural and Food Chemistry
Diet, Metabolism, and Disease
2.59
article

Improving d-Allulose Production via Alditol Oxidase-Directed Evolution Assisted by an Artificial Genetic Circuit

Yongkun Lv, Zhouyan Guo, Weigao Wang, Anqi Zhao, Peng Xu, Lijuan Zhu, Yameng Xu, Song Chen, Zhenhua Chen, Shilei Wang, Mengzhuo Shi
article en
2 citations

Abstract

As a good sucrose substitute, d-allulose has been substantially used in the food industry. In a previous work, we developed a d-allulose synthetic pathway and revealed that the alditol oxidase (AldO) is the key rate-limiting node. The laboratory-directed evolution (LDE) has been largely used for improving enzyme performance but is commonly faced with time-consuming screening processes or expensive equipment demand. In this study, we tried to develop an easy approach to obtain higher-performing AldO mutants through continuous LDE. First, we designed and validated a d-allulose-responsive genetic circuit. Next, we tuned its sensitivity and responsive range to make it suitable for growth coupling. Subsequently, the chassis fitness was coupled to d-allulose production by controlling the expression of a tetracycline exporter. Finally, the chassis equipped with the genetic circuit was used to evolve the AldO mutant library. After 3 passages, a mutant M4-15 was picked out, which produced 19.97% more d-allulose. Structural analysis showed a widened entrance of the catalytic pocket. This study achieved the continuous LDE of AldO and provided an easy and simple approach to evolve the d-allulose synthetic pathway. This study also represented a proof of concept example of accelerating the LDE evolution using an artificial genetic circuit.

Journal of Agricultural and Food ChemistryVol. 73(22)
Technion – Israel Institute of Technology (IL), Zhengzhou University (CN), Xinjiang Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Guangdong Technion-Israel Institute of Technology (CN), Stanford University (US)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Henan Postdoctoral Science Foundation
Zero hunger
Openalex Percentile: Top 10%
Diet, Metabolism, and Disease
2.59
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