One-for-all gene inactivation via PAM-independent base editing in bacteria

Base editing is preferable for bacterial gene inactivation without generating double-strand breaks, requiring homology recombination, or highly efficient DNA delivery capability. However, the potential of base editing is limited by the adjoined dependence on the editing window and protospacer adjacent motif. Herein, we report an unconstrained base-editing system to enable the inactivation of any genes of interest in bacteria. We employed a dCas9 derivative, dSpRY, and activation-induced cytidine deaminase to build a protospacer adjacent motif-independent base editor. Then, we programmed the base editor to exclude the START codon of a gene of interest instead of introducing premature STOP codons to obtain a universal approach for gene inactivation, namely XSTART, with an overall efficiency approaching 100%. By using XSTART, we successfully manipulated the amino acid metabolisms in Escherichia coli, generating glutamine, arginine, and aspartate auxotrophic strains. While we observed a high frequency of off-target events as a trade-off for increased efficiency, refining the regulatory system of XSTART to limit expression levels reduced off-target events by over 60% without sacrificing efficiency, aligning our results with previously reported levels. Finally, the effectiveness of XSTART was also demonstrated in probiotic E. coli Nissle 1917 and photoautotrophic cyanobacterium Synechococcus elongatus, illustrating its potential in reprogramming diverse bacteria.

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Publication Details

Journal
Journal of Biological Chemistry
Published
2024-12-18
DOI
https://doi.org/10.1016/j.jbc.2024.108113
Citations
4
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.94

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article

One-for-all gene inactivation via PAM-independent base editing in bacteria

Peng‐Fei Xia, Ying Wei, Xin Li, Shuyan Wang et al.
4 citations
Journal of Biological Chemistry
CRISPR and Genetic Engineering
0.94
article

One-for-all gene inactivation via PAM-independent base editing in bacteria

Peng‐Fei Xia, Ying Wei, Xin Li, Shuyan Wang, Shuguang Wang
article en
4 citations

Abstract

Base editing is preferable for bacterial gene inactivation without generating double-strand breaks, requiring homology recombination, or highly efficient DNA delivery capability. However, the potential of base editing is limited by the adjoined dependence on the editing window and protospacer adjacent motif. Herein, we report an unconstrained base-editing system to enable the inactivation of any genes of interest in bacteria. We employed a dCas9 derivative, dSpRY, and activation-induced cytidine deaminase to build a protospacer adjacent motif-independent base editor. Then, we programmed the base editor to exclude the START codon of a gene of interest instead of introducing premature STOP codons to obtain a universal approach for gene inactivation, namely XSTART, with an overall efficiency approaching 100%. By using XSTART, we successfully manipulated the amino acid metabolisms in Escherichia coli, generating glutamine, arginine, and aspartate auxotrophic strains. While we observed a high frequency of off-target events as a trade-off for increased efficiency, refining the regulatory system of XSTART to limit expression levels reduced off-target events by over 60% without sacrificing efficiency, aligning our results with previously reported levels. Finally, the effectiveness of XSTART was also demonstrated in probiotic E. coli Nissle 1917 and photoautotrophic cyanobacterium Synechococcus elongatus, illustrating its potential in reprogramming diverse bacteria.

Journal of Biological ChemistryVol. 301(1)
Qingdao University (CN), Shandong University (CN), Shandong University of Science and Technology (CN)
Shandong University, Department of Science and Technology of Shandong Province, National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Taishan Scholar Project of Shandong Province
Zero hunger
Openalex Percentile: Top 24%
CRISPR and Genetic Engineering
0.94
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