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

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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Publication Details

Journal
Nucleic Acids Research
Published
2025-06-20
DOI
https://doi.org/10.1093/nar/gkaf595
Citations
5
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
4.03

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article

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

Xiaoyan Duan, Xiaohang Liu, Ruijia Liu, Yaming Cao et al.
5 citations
Nucleic Acids Research
CRISPR and Genetic Engineering
4.03
article

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

Xiaoyan Duan, Xiaohang Liu, Ruijia Liu, Yaming Cao, Liya Liang, Huiping Tan, Lihan Zi, Jingjing Zhang, Lin Liu, Qingqing Wang, Haonan Zhang, Junyan Wang, Guofu Zhao, Tianxiang Yang, Xiangrui Fan, Pengpai Li, Zhiying Chen, Liming Ma, Xiaohui Zhang
article en
5 citations

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.

Nucleic Acids ResearchVol. 53(12)
Ningbo University (CN), Ningbo University of Technology (CN), Dalian University of Technology (CN), Dalian University (CN), Dalian Municipal Central Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 6%
CRISPR and Genetic Engineering
4.03
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