Evidence map›Paper›PMID 42010791›Full record

ArticleJournal of integrative plant biology2026

Optimized TadA-derived base editors efficiently manipulate mRNA splicing by A-to-G and C-to-K editing in potato.

Kaiyuan Chen, Yan Zhang, Jiuzhou Deng, Lumin Zhang, Huiying Zhou, Yaxin Duan, Enle Xiao, Guangtao Zhu, Chunzhi Zhang

Abstract read
In one paragraph

Article in Journal of integrative plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kaiyuan ChenState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.ORCID https://orcid.org/0009-0009-5981-3085
Yan ZhangState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.ORCID https://orcid.org/0009-0007-1438-3769
Jiuzhou DengState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.ORCID https://orcid.org/0009-0002-0996-6023
Lumin ZhangSchool of Life Sciences, Henan University, Kaifeng, 475004, China.ORCID https://orcid.org/0009-0006-8053-3561
Huiying ZhouSchool of Life Sciences, Yunnan Key Laboratory of Potato Biology, Southwest United Graduate School, Yunnan Normal University, Kunming, 650500, China.ORCID https://orcid.org/0009-0006-5810-2976
Yaxin DuanSchool of Life Sciences, Yunnan Key Laboratory of Potato Biology, Southwest United Graduate School, Yunnan Normal University, Kunming, 650500, China.ORCID https://orcid.org/0009-0008-0352-3807
Enle XiaoSchool of Life Sciences, Yunnan Key Laboratory of Potato Biology, Southwest United Graduate School, Yunnan Normal University, Kunming, 650500, China.ORCID https://orcid.org/0009-0000-1918-6616
Guangtao ZhuSchool of Life Sciences, Yunnan Key Laboratory of Potato Biology, Southwest United Graduate School, Yunnan Normal University, Kunming, 650500, China.ORCID https://orcid.org/0000-0003-4226-4410
Chunzhi ZhangState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.ORCID https://orcid.org/0000-0003-0658-1398

Funding

Agricultural Science and Technology Innovation Program CAAS-ZDRW202404China Postdoctoral Science Foundation 2023M733833National Key Research and Development Program of China 2021YFD1200047National Natural Science Foundation of China 32488302
6 · The paper itself

Abstract

Pre-messenger RNA (pre-mRNA) splicing is a critical mechanism for post-transcriptional regulation in plants. Through alternative splicing, plants produce diverse transcriptomes and proteomes that finely regulate development as well as responses to biotic and abiotic stresses. However, modulating the generation of specific splicing isoforms for functional characterization remains challenging, particularly in the non-model crop potato. Here, we show that two optimized TadA-derived base editors efficiently induce diverse mRNA splice variants by targeting specific splice sites. By evaluating multiple adenosine deaminases and performing multi-dimensional optimization, we developed an efficient adenine base editor RTF-ABE8e for potato. RTF-ABE8e achieved 100% editing efficiency at two StDL1 target sites in stable transgenic potato, with homozygous editing frequencies as high as 93.3% and 91.1%, respectively. We also developed RTF-TadDE, a dual-base editor based on a TadA-derived dual deaminase, for A-to-G and C-to-K (K = T/G) mutations in potato with an overall editing efficiency comparable to that of RTF-ABE8e. By targeting different splice sites with these base editors, we obtained diverse splicing isoforms carrying premature termination codons (PTCs) at StDL1 and StPDS and robust mutant phenotypes. These base editors enable efficient and precise editing of splice sites to trigger missplicing, making them powerful tools for manipulating splicing in plants.

Indexed as

RNA EditingRNA, MessengerRNA SplicingSolanum tuberosumAlternative SplicingBase SequenceMutationPlants, Genetically ModifiedRNA, Messengeradenine base editordual‐base editorsplice sitessplicing manipulation

Identifiers

PMID42010791
PMCPMC13545826

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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.