Wenzhuo Wang, Lei Pan, Huansha He, Huiyuan Xue, He Huang, Audrey Mihewi Samosir, Xian Fu, Yue Shen
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引用次数: 0
Abstract
Hyperuricemia, caused by uric acid disequilibrium, is a prevalent metabolic disease that most commonly manifests as gout and is closely associated with a spectrum of other comorbidities such as renal disorders and cardiovascular diseases. While natural and engineered probiotics that promote catabolism of uric acid in the intestine have shown promise in relieving hyperuricemia, limitations in strain efficiency and the requirements for achieving high performance remain major hurdles in the practical application of probiotic-mediated prevention and management. Here, we employed a systematic strategy to engineer a high-efficiency uric acid catabolism pathway in S. cerevisiae. An uricase from Vibrio vulnificus, exhibiting high-level activity in S. cerevisiae, was identified as the uric acid-degrading component. The expression level and stability of urate transporter UapA were improved by constructing a chimera, enabling reliable uric acid import in S. cerevisiae. Additionally, constitutive promoters were selected and combinatorially assembled with the two functional components, creating a collection of pathways that confer varied levels of uric acid catabolic activity to S. cerevisiae. The best-performing pathway can express uric acid-degrading activity up to 365.32 ± 20.54 μmol/h/OD, requiring only simple cultivation steps. Eventually, we took advantage of the genetic similarity between model organism S. cerevisiae and probiotic S. boulardii and integrated the optimized pathway into identified high-expression integration loci in the S. boulardii genome. The activity can be stably maintained under high-density fermentation conditions. Overall, this study provided a high-potential hyperuricemia-managing yeast probiotic strain, demonstrating the capabilities of developing recombinant probiotics.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.