Back

A CRISPR/SpCas9M-reporting system for efficient and rapid genome editing in Caulobacter crescentus

Sun, J.; Yu, X.; Tang, G.; Chen, M.; Zheng, Y.; Hu, Y.; Li, Q.; Li, X.; Li, N.; Li, Z.; Li, Y.; Lu, N.; Tan, W.; Yang, Y.; Zeng, X.; Zhao, G.; Wang, H.; Dai, L.; Zhao, G.-P.; Ai, L.; Zhao, W.

2024-12-05 bioengineering
10.1101/2024.12.02.626314 bioRxiv
Show abstract

As members of the -proteobacteria group, Caulobacter crescentus and its relatives are known for their asymmetric life cycle and comprehensive applications in gene delivery, agricultural biotechnology, and the production of high-value compounds. However, genetic manipulations of these bacteria are often time-consuming and labor-intensive due to the lack of efficient genome editing tools. Here, we report a practical CRISPR/SpCas9M-reporting system that overcomes the limitations of SpCas9 expression, enabling efficient, markerless, and rapid genome editing in C. crescentus. As a demonstration, we successfully knocked out two genes encoding the scaffold proteins, achieving apparent editing efficiencies up to 80%. Key components, including the Cas protein, Cas inducer, sgRNA, homologous arms, and reporter, were systematically analyzed and optimized to enhance the editing efficiency or decrease the cell lethality. A nearly zero off-target ratio was observed after the curing of the editor plasmid in editing strains. Furthermore, we applied the CRISPR/SpCas9M-reporting system to two C. crescentus relatives, Agrobacterium fabrum and Sinorhizobium meliloti, establishing it as an efficient and reliable editing strategy. We anticipate that this system could be applied to other hard-to-edit organisms, accelerating both basic and applied research in -proteobacteria.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Science China Life Sciences
26 papers in training set
Top 0.1%
28.4%
2
ACS Synthetic Biology
256 papers in training set
Top 0.4%
10.7%
3
Nature Communications
4913 papers in training set
Top 27%
6.6%
4
Advanced Science
249 papers in training set
Top 2%
6.6%
50% of probability mass above
5
Protein & Cell
25 papers in training set
Top 0.5%
3.7%
6
Nucleic Acids Research
1128 papers in training set
Top 5%
3.7%
7
Cell Reports Physical Science
18 papers in training set
Top 0.1%
3.2%
8
Metabolic Engineering
68 papers in training set
Top 0.3%
3.0%
9
Applied and Environmental Microbiology
301 papers in training set
Top 1%
2.5%
10
Microbial Biotechnology
29 papers in training set
Top 0.2%
2.1%
11
Angewandte Chemie International Edition
81 papers in training set
Top 2%
1.9%
12
Scientific Reports
3102 papers in training set
Top 56%
1.7%
13
Synthetic and Systems Biotechnology
10 papers in training set
Top 0.2%
1.7%
14
Plant Biotechnology Journal
56 papers in training set
Top 0.8%
1.4%
15
PLOS ONE
4510 papers in training set
Top 62%
1.0%
16
Genome Biology
555 papers in training set
Top 7%
0.8%
17
Chemical Engineering Journal
10 papers in training set
Top 0.5%
0.8%
18
Frontiers in Microbiology
375 papers in training set
Top 9%
0.8%
19
The CRISPR Journal
33 papers in training set
Top 0.3%
0.8%
20
Biosensors and Bioelectronics
52 papers in training set
Top 1%
0.8%
21
Communications Biology
886 papers in training set
Top 22%
0.8%
22
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.7%
23
Horticulture Research
43 papers in training set
Top 2%
0.7%
24
PLOS Pathogens
721 papers in training set
Top 10%
0.5%
25
Plant Science
25 papers in training set
Top 1%
0.5%
26
eLife
5422 papers in training set
Top 63%
0.5%
27
Virus Research
36 papers in training set
Top 2%
0.5%
28
Journal of Biological Chemistry
641 papers in training set
Top 6%
0.5%