ArticlePlant biotechnology journal2020
Simplified adenine base editors improve adenine base editing efficiency in rice.
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 104 citations in OpenAlex.
- Advances in Genome Editing for Plant Disease Resistance Breeding.Plants (Basel, Switzerland) · 2026Review
- Charcoal rot in sesame: infection biology, host resistance mechanism, and genomic-enabled strategies for durable resistance breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Sugarcane Breeding in the Genomic Era: Integrative Strategies and Emerging Technologies.Plants (Basel, Switzerland) · 2026Review
- Research progress of base editing and prime editing tools based on the CRISPR/Cas system.Molecular therapy. Nucleic acids · 2025Review
- Advancing nutritional quality in oilseed crops through genome editing: a comprehensive review.GM crops & food · 2025Review
- CRISPR/Cas-mediated genome editing: playing a versatile role in mitigating the challenges of sustainable rice improvement.3 Biotech · 2025Review
- Review
- Review
- RNAi and genome editing of sugarcane: Progress and prospects.The Plant journal : for cell and molecular biology · 2025Review
- Emerging applications of gene editing technologies for the development of climate-resilient crops.Frontiers in genome editing · 2025Review
- CRISPR/Cas system-mediated base editing in crops: recent developments and future prospects.Plant cell reports · 2024Review
- Targeted genome-modification tools and their advanced applications in crop breeding.Nature reviews. Genetics · 2024Review
- Precise fine-turning of GhTFL1 by base editing tools defines ideal cotton plant architecture.Genome biology · 2024Article
- Enhancing the quality of staple food crops through CRISPR/Cas-mediated site-directed mutagenesis.Planta · 2023Review
- Precise genome editing with base editors.Medical review (2021) · 2023Review
- Challenges and potentials of new breeding techniques inFrontiers in plant science · 2023Review
- Green revolution to genome revolution: driving better resilient crops against environmental instability.Frontiers in genetics · 2023Review
- Efficient A·T to G·C base conversions in dicots using adenine base editors expressed under the tomato EF1α promoter.Plant biotechnology journal · 2023Article
- Cytosine base editors optimized for genome editing in potato protoplasts.Frontiers in genome editing · 2023Article
- Application of CRISPR/Cas system in cereal improvement for biotic and abiotic stress tolerance.Planta · 2022Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adenine base editors (ABEs) have been exploited to introduce targeted adenine (A) to guanine (G) base conversions in various plant genomes, including rice, wheat and Arabidopsis. However, the ABEs reported thus far are all quite inefficient at many target sites in rice, which hampers their applications in plant genome engineering and crop breeding. Here, we show that unlike in the mammalian system, a simplified base editor ABE-P1S (Adenine Base Editor-Plant version 1 Simplified) containing the ecTadA*7.10-nSpCas9 (D10A) fusion has much higher editing efficiency in rice compared to the widely used ABE-P1 consisting of the ecTadA-ecTadA*7.10-nSpCas9 (D10A) fusion. We found that the protein expression level of ABE-P1S is higher than that of ABE-P1 in rice calli and protoplasts, which may explain the higher editing efficiency of ABE-P1S in different rice varieties. Moreover, we demonstrate that the ecTadA*7.10-nCas9 fusion can be used to improve the editing efficiency of other ABEs containing SaCas9 or the engineered SaKKH-Cas9 variant. These more efficient ABEs will help advance trait improvements in rice and other crops.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.