Evidence map›Paper›PMID 38679734›Full record

ArticleBMC biology2024

Targeted C•G-to-T•A base editing with TALE-cytosine deaminases in plants.

Dingbo Zhang, Vanessa Pries, Jens Boch

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In one paragraph

Article in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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

3 authors.

Dingbo ZhangLeibniz University Hannover, Institute of Plant Genetics, Herrenhäuser Str. 2, Hannover, 30419, Germany.
Vanessa PriesLeibniz University Hannover, Institute of Plant Genetics, Herrenhäuser Str. 2, Hannover, 30419, Germany.
Jens BochLeibniz University Hannover, Institute of Plant Genetics, Herrenhäuser Str. 2, Hannover, 30419, Germany. jens.boch@genetik.uni-hannover.de.ORCID http://orcid.org/0000-0001-5883-7506

Funding

Deutsche Forschungsgemeinschaft (DFG) BO 1496/9-1
6 · The paper itself

Abstract

backgroundTALE-derived DddA-based cytosine base editors (TALE-DdCBEs) can perform efficient base editing of mitochondria and chloroplast genomes. They use transcription activator-like effector (TALE) arrays as programmable DNA-binding domains and a split version of the double-strand DNA cytidine deaminase (DddA) to catalyze C•G-to-T•A editing. This technology has not been optimized for use in plant cells.

resultsTo systematically investigate TALE-DdCBE architectures and editing rules, we established a β-glucuronidase reporter for transient assays in Nicotiana benthamiana. We show that TALE-DdCBEs function with distinct spacer lengths between the DNA-binding sites of their two TALE parts. Compared to canonical DddA, TALE-DdCBEs containing evolved DddA variants (DddA6 or DddA11) showed a significant improvement in editing efficiency in Nicotiana benthamiana and rice. Moreover, TALE-DdCBEs containing DddA11 have broader sequence compatibility for non-TC target editing. We have successfully regenerated rice with C•G-to-T•A conversions in their chloroplast genome, as well as N. benthamiana with C•G-to-T•A editing in the nuclear genome using TALE-DdCBE. We also found that the spontaneous assembly of split DddA halves can cause undesired editing by TALE-DdCBEs in plants.

conclusionsAltogether, our results refined the targeting scope of TALE-DdCBEs and successfully applied them to target the chloroplast and nuclear genomes. Our study expands the base editing toolbox in plants and further defines parameters to optimize TALE-DdCBEs for high-fidelity crop improvement.

Indexed as

Gene EditingNicotianaCytidine DeaminaseCytosineOryzaTranscription Activator-Like EffectorsCytidine DeaminaseCytosineTranscription Activator-Like EffectorsBase editorsChloroplastDddADeaminaseGenome editingRice

Identifiers

PMID38679734
PMCPMC11057107

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LicenceCC BY
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Registered trials

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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.