CRISPR‐DNA Polymerase Assisted Targeted Mutagenesis for Regulable Laboratory Evolution
Source abstract
Abstract
Abstract Targeted hypermutation tools are useful for engineering proteins and pathways, and exploring the evolutionary landscapes. However, existing targeted hypermutation tools for genomic loci mostly exhibit restricted mutation windows and limited mutational types. Here, by integrating mutagenic, high‐processivity bacteriophage T5 or T7 DNA polymerases (DNAPs) with CRISPR‐Cas9, the study develops an in vivo mutagenesis system that enables all possible types of nucleotide substitutions and an expanded mutation window of up to 2 kilobases, achieving a maximum mutation rate 1.1 × 10 6 ‐fold higher than wild‐type Escherichia coli . Through MS2‐mediated recruitment of T5 or T7 DNAP for co‐localization with nickase nCas9, off‐target rate is reduced by up to 96.8% without compromising on‐target rate. Further benefiting from the dTnpB‐based transcriptional repression system, the mutagenesis process can be properly regulated during continuous evolution. Finally, the CRISPR‐TDNAP‐assisted targeted mutagenesis for regulable laboratory evolution (CTRLE) confers cellular triple‐antibiotic resistance in 8 days, and enhances the efficiency of the twin‐arginine translocation pathway by over threefold in 6 days. Furthermore, CTRLE proves effective in Bacillus subtilis and Kluyveromyces lactis , yielding targeted mutation rates 1.2 × 10⁵‐fold and 5 × 10⁷‐fold higher than host backgrounds, respectively. Collectively, CTRLE provides an efficient and universal way to accelerate the continuous evolution of different microbial cells.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: CRISPR and Genetic Engineering · Advanced biosensing and bioanalysis techniques · Bacteriophages and microbial interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Science Center for Future Foods Jiangnan University 1800 Lihu Road Wuxi Jiangsu 214122 China
School of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education Jiangnan University Wuxi 214122 China
Jiangsu Province Basic Research Center for Synthetic Biology Jiangnan University Wuxi 214122 China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province
References (51)
Show source-provided references
1. 10.1038/s41589-020-0532-y10.1038/s41589-020-0532-y ↗
2. 10.1038/nature0992910.1038/nature09929 ↗
3. 10.1016/j.cell.2018.10.02110.1016/j.cell.2018.10.021 ↗
4. 10.1038/s41589-023-01387-210.1038/s41589-023-01387-2 ↗
5. 10.1126/science.adk128110.1126/science.adk1281 ↗
6. 10.1126/sciadv.abg871210.1126/sciadv.abg8712 ↗
7. 10.1126/science.adp958310.1126/science.adp9583 ↗
8. 10.1021/jacs.8b0400110.1021/jacs.8b04001 ↗
9. 10.1073/pnas.201818111810.1073/pnas.2018181118 ↗
10. 10.1038/ncomms1305110.1038/ncomms13051 ↗
11. 10.1093/nar/gkaf05110.1093/nar/gkaf051 ↗
12. 10.1093/nar/gkab47210.1093/nar/gkab472 ↗
13. 10.1093/nar/gkae22810.1093/nar/gkae228 ↗
14. 10.1002/advs.20230976710.1002/advs.202309767 ↗
15. 10.1021/acssynbio.2c0069010.1021/acssynbio.2c00690 ↗
16. 10.1038/s41586-018-0384-810.1038/s41586-018-0384-8 ↗
17. 10.1021/acssynbio.0c0014910.1021/acssynbio.0c00149 ↗
18. 10.1093/nar/gkad24210.1093/nar/gkad242 ↗
19. 10.1080/0735268070125281710.1080/07352680701252817 ↗
20. 10.1016/j.cbpa.2011.07.02410.1016/j.cbpa.2011.07.024 ↗
21. 10.3390/v1309173910.3390/v13091739 ↗
22. 10.1101/pdb.top10074310.1101/pdb.top100743 ↗
23. 10.1016/0378-1119(91)90004-U10.1016/0378-1119(91)90004-U ↗
24. 10.1074/jbc.M40842820010.1074/jbc.M408428200 ↗
25. 10.1002/cbic.20100079910.1002/cbic.201000799 ↗
26. 10.1021/acssynbio.3c0029910.1021/acssynbio.3c00299 ↗
27. 10.1038/nmeth.403810.1038/nmeth.4038 ↗
28. 10.1016/j.ymben.2024.10.01410.1016/j.ymben.2024.10.014 ↗
29. 10.1093/nar/gkac46310.1093/nar/gkac463 ↗
30. 10.1038/s41586-021-04058-110.1038/s41586-021-04058-1 ↗
31. 10.1016/S1568-7864(03)00024-710.1016/S1568-7864(03)00024-7 ↗
32. 10.1007/BF0029914110.1007/BF00299141 ↗
33. 10.1126/science.149.3688.109610.1126/science.149.3688.1096 ↗
34. 10.1016/0014-5793(78)80059-310.1016/0014-5793(78)80059-3 ↗
35. 10.1021/acssynbio.1c0018310.1021/acssynbio.1c00183 ↗
36. 10.1007/s11274-018-2531-710.1007/s11274-018-2531-7 ↗
37. 10.1016/j.jbiotec.2016.02.02310.1016/j.jbiotec.2016.02.023 ↗
38. 10.1021/acs.chemrev.1c0026010.1021/acs.chemrev.1c00260 ↗
39. 10.1016/j.tibtech.2023.03.01010.1016/j.tibtech.2023.03.010 ↗
40. 10.1038/s41467-023-39087-z10.1038/s41467-023-39087-z ↗
41. 10.1016/j.tibtech.2025.02.01110.1016/j.tibtech.2025.02.011 ↗
42. 10.1073/pnas.86.12.446510.1073/pnas.86.12.4465 ↗
43. 10.1038/313818a010.1038/313818a0 ↗
44. 10.1016/S0021-9258(18)47718-610.1016/S0021-9258(18)47718-6 ↗
45. 10.1016/S0021-9258(17)44400-010.1016/S0021-9258(17)44400-0 ↗
46. 10.1016/S0021-9258(17)44401-210.1016/S0021-9258(17)44401-2 ↗
47. 10.1074/jbc.M109.02405910.1074/jbc.M109.024059 ↗
48. Kucera R. B. · 2008
49. 10.1016/S0021-9258(18)62341-510.1016/S0021-9258(18)62341-5 ↗
50. 10.1021/acssynbio.4c0015710.1021/acssynbio.4c00157 ↗
51. 10.1093/bioinformatics/btp25310.1093/bioinformatics/btp253 ↗