Creating large-scale genetic diversity in Arabidopsis via base editing-mediated deep artificial evolution
Here, we demonstrate the significant potential of base editing-mediated artificial evolution for each sgRNA target and devised an efficient system for conducting deep evolution to harness this potential.
Authors
- Guojing Ma
- Zhentao Cheng
- Chao Sun (ORCID: https://orcid.org/0000-0001-7627-0902)
- Hong Yang
- Yun Shang (ORCID: https://orcid.org/0009-0001-0351-4352)
- Wenbo Pan (ORCID: https://orcid.org/0000-0001-9734-3090)
- Caixia Gao (ORCID: https://orcid.org/0000-0003-3169-8248)
- Lijing Liu (ORCID: https://orcid.org/0000-0003-0260-8493)
- Huawei Zhang (ORCID: https://orcid.org/0000-0002-8893-1429)
- Fei Yan (ORCID: https://orcid.org/0009-0007-2885-4509)
- Xiang Wang
- Rui Zhang (ORCID: https://orcid.org/0000-0002-1360-2452)
Institutions
- Shandong University (CN)
- Chinese Academy of Sciences (CN)
- Institute of Genetics and Developmental Biology (CN)
- University of Chinese Academy of Sciences (CN)
- Weifang University (CN)
Publication Details
- Journal
- Genome biology
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1186/s13059-024-03358-9
- Citations
- 11
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 2.57
Funders
- Taishan Scholar Foundation of Shandong Province
- China Agricultural University
- National Key Research and Development Program of China