Back

Reducing competition between msd and genomic DNA significantly improved the editing efficiency of the retron editing system

Ni, Y.; Wang, Y.; Shi, X.; Ruan, Q.; Na, T.; He, J.; Wang, X.

2024-06-04 synthetic biology
10.1101/2024.06.04.597346 bioRxiv
Show abstract

A retron is a distinct system encoding reverse transcriptase and a unique single-stranded DNA/RNA hybrid called multicopy single-stranded DNA (msDNA). The ability of msDNA to serve as a homologous recombination donor for gene editing has attracted great interest. However, the mechanism by which msDNA expression affects editing efficiency remains unclear. In this study, we show that an increase in msd number increased msDNA yield but was not necessarily accompanied by an increase in editing efficiency. Mechanistic studies indicate that msd and genomic regions competed for msDNA during recombination. As the number of msd increased, the amount of msDNA allocated to the genomic targets decreased, resulting in a decrease in editing efficiency. Finally, we reduced msd editing by expressing msDNA corresponding to the plasmid replication leading strand sequence, thus constructing a retron-based gene editing system that achieved 100% editing efficiency in the shortest time reported to date. The above results reveal a completely different features between retron-based gene editing system and oligonucleotide-mediated gene editing system and will provide theoretical guidance for the design and application of the retron system.

Matching journals

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

1
Genes to Cells
25 papers in training set
Top 0.1%
22.0%
2
Nucleic Acids Research
1281 papers in training set
Top 1%
11.9%
3
ACS Synthetic Biology
287 papers in training set
Top 0.4%
9.8%
4
PLOS ONE
5266 papers in training set
Top 24%
6.8%
50% of probability mass above
5
The CRISPR Journal
39 papers in training set
Top 0.1%
4.9%
6
Synthetic and Systems Biotechnology
11 papers in training set
Top 0.1%
4.1%
7
Microbiology Spectrum
469 papers in training set
Top 4%
3.2%
8
Scientific Reports
3612 papers in training set
Top 42%
2.5%
9
Applied and Environmental Microbiology
339 papers in training set
Top 3%
2.5%
10
International Journal of Molecular Sciences
494 papers in training set
Top 7%
1.9%
11
Journal of Bacteriology
212 papers in training set
Top 1%
1.7%
12
Biotechnology and Bioengineering
53 papers in training set
Top 0.4%
1.7%
13
Frontiers in Microbiology
427 papers in training set
Top 5%
1.7%
14
Applied Microbiology and Biotechnology
32 papers in training set
Top 0.5%
1.7%
15
Synthetic Biology
24 papers in training set
Top 0.2%
1.5%
16
Microbial Cell Factories
27 papers in training set
Top 0.4%
1.4%
17
eLife
5828 papers in training set
Top 57%
1.1%
18
PeerJ
308 papers in training set
Top 8%
1.1%
19
Genes
144 papers in training set
Top 3%
1.1%
20
mBio
833 papers in training set
Top 10%
1.1%
21
RNA Biology
78 papers in training set
Top 1%
1.0%
22
iScience
1154 papers in training set
Top 32%
0.9%
23
mLife
10 papers in training set
Top 0.1%
0.6%
24
Gene
46 papers in training set
Top 2%
0.6%
25
Cell Discovery
57 papers in training set
Top 1%
0.6%
26
Journal of Bioinformatics and Systems Biology
15 papers in training set
Top 0.4%
0.6%