{"title":"利用 Yarrowia lipolytica 中重新设计的同源重组技术从头合成 Reticuline 和 Taxifolin。","authors":"Changtai Zhang, Mengsu Liu, Xinglong Wang, Junyi Cheng, Jinbo Xiang, Mingyu Yue, Yang Ning, Zhengxuan Shao, Chalak Najat Abdullah, Jingwen Zhou","doi":"10.1021/acssynbio.4c00853","DOIUrl":null,"url":null,"abstract":"<p><p><i>Yarrowia lipolytica</i> has been widely engineered as a eukaryotic cell factory to produce various important compounds. However, the difficulty of gene editing and the lack of efficient neutral sites make rewiring of <i>Y. lipolytica</i> metabolism challenging. Herein, a Cas9 system was established to redesign the <i>Y. lipolytica</i> homologous recombination system, which caused a more than 56-fold increase in the HR efficiency. The fusion expression of the hBrex27 sequence in the C-terminus of Cas9 recruited more Rad51 protein, and the engineered Cas9 decreased NHEJ, achieving 85% single-gene positive efficiency and 25% multigene editing efficiency. With this system, neutral sites on different chromosomes were characterized, and a deep learning model was developed for gRNA activity prediction, thus providing the corresponding integration efficiency and expression intensity. Subsequently, the tool and platform strains were validated by applying them for the <i>de novo</i> synthesis of (<i>S</i>)-reticuline and (2<i>S</i>)-taxifolin. The developed platform strains and tools helped transform <i>Y. lipolytica</i> into an easy-to-operate model cell factory, similar to <i>Saccharomyces cerevisiae</i>.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":"585-597"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"<i>De Novo</i> Synthesis of Reticuline and Taxifolin Using Re-engineered Homologous Recombination in <i>Yarrowia lipolytica</i>.\",\"authors\":\"Changtai Zhang, Mengsu Liu, Xinglong Wang, Junyi Cheng, Jinbo Xiang, Mingyu Yue, Yang Ning, Zhengxuan Shao, Chalak Najat Abdullah, Jingwen Zhou\",\"doi\":\"10.1021/acssynbio.4c00853\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><i>Yarrowia lipolytica</i> has been widely engineered as a eukaryotic cell factory to produce various important compounds. However, the difficulty of gene editing and the lack of efficient neutral sites make rewiring of <i>Y. lipolytica</i> metabolism challenging. Herein, a Cas9 system was established to redesign the <i>Y. lipolytica</i> homologous recombination system, which caused a more than 56-fold increase in the HR efficiency. The fusion expression of the hBrex27 sequence in the C-terminus of Cas9 recruited more Rad51 protein, and the engineered Cas9 decreased NHEJ, achieving 85% single-gene positive efficiency and 25% multigene editing efficiency. With this system, neutral sites on different chromosomes were characterized, and a deep learning model was developed for gRNA activity prediction, thus providing the corresponding integration efficiency and expression intensity. Subsequently, the tool and platform strains were validated by applying them for the <i>de novo</i> synthesis of (<i>S</i>)-reticuline and (2<i>S</i>)-taxifolin. The developed platform strains and tools helped transform <i>Y. lipolytica</i> into an easy-to-operate model cell factory, similar to <i>Saccharomyces cerevisiae</i>.</p>\",\"PeriodicalId\":26,\"journal\":{\"name\":\"ACS Synthetic Biology\",\"volume\":\" \",\"pages\":\"585-597\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Synthetic Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1021/acssynbio.4c00853\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.4c00853","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
De Novo Synthesis of Reticuline and Taxifolin Using Re-engineered Homologous Recombination in Yarrowia lipolytica.
Yarrowia lipolytica has been widely engineered as a eukaryotic cell factory to produce various important compounds. However, the difficulty of gene editing and the lack of efficient neutral sites make rewiring of Y. lipolytica metabolism challenging. Herein, a Cas9 system was established to redesign the Y. lipolytica homologous recombination system, which caused a more than 56-fold increase in the HR efficiency. The fusion expression of the hBrex27 sequence in the C-terminus of Cas9 recruited more Rad51 protein, and the engineered Cas9 decreased NHEJ, achieving 85% single-gene positive efficiency and 25% multigene editing efficiency. With this system, neutral sites on different chromosomes were characterized, and a deep learning model was developed for gRNA activity prediction, thus providing the corresponding integration efficiency and expression intensity. Subsequently, the tool and platform strains were validated by applying them for the de novo synthesis of (S)-reticuline and (2S)-taxifolin. The developed platform strains and tools helped transform Y. lipolytica into an easy-to-operate model cell factory, similar to Saccharomyces cerevisiae.
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.