SELECT: high-precision genome editing strategy via integration of CRISPR–Cas and DNA damage response for cross-species applications

清脆的 基因组编辑 生物 计算生物学 基因组 基因组工程 合成生物学 计算机科学 遗传学 基因
作者
Xiaohang Liu,Huiping Tan,Junyan Wang,Yaming Cao,Pengpai Li,Xiangrui Fan,Qingqing Wang,Haonan Zhang,Jingjing Zhang,Tianxiang Yang,Guofu Zhao,Xiaohui Zhang,Xiaoyan Duan,Lihan Zi,Lin Liu,Liming Ma,Zhiying Chen,Liya Liang,Ruijia Liu
出处
期刊:Nucleic Acids Research [Oxford University Press]
卷期号:53 (12) 被引量:2
标识
DOI:10.1093/nar/gkaf595
摘要

Abstract CRISPR-based methods enable genome modifications for diverse applications but often face challenges, such as inconsistent efficiencies, reduced performance in iterative modifications, and difficulties generating high-quality datasets for high-throughput genome engineering. Here, we present SELECT (SOS Enhanced programmabLE CRISPR-Cas ediTing), a novel strategy integrating the CRISPR–Cas system with the DNA damage response. By employing designed and optimized double-strand break induced promoters that are activated upon genome editing, SELECT enables a counter-selection process to eliminate unedited cells, ensuring high-fidelity editing. This approach achieves up to 100% efficiency for point mutations, iterative knockouts, and insertions. In high-throughput library editing, SELECT achieved up to 94.2% efficiency and preserved higher library diversity compared with conventional methods. Application of SELECT in flaviolin biosynthesis resulted in a 3.97-fold increase in production. Furthermore, integration with machine learning tools allowed rapid mapping of genotype–phenotype relationships. SELECT provides a versatile platform for precision genome engineering in Escherichia coli and Saccharomyces cerevisiae.
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