Evidence map›Paper›PMID 38425137›Full record

ArticlePlant biotechnology journal2024

A method of genetic transformation and gene editing of succulents without tissue culture.

Jinghua Lu, Shanshan Li, Shuai Deng, Mugui Wang, Yinghuang Wu, Ming Li, Jinsong Dong, Suhui Lu, Chunli Su, Guofu Li and 2 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Plants (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Forage Crop Research in the Modern Age.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Engineering Agrobacterium for improved plant transformation.The Plant journal : for cell and molecular biology · 2025
    Review
  17. Novel methods for genetic transformation of watermelon (Molecular breeding : new strategies in plant improvement · 2025
    Article
  18. Stable transformation mediated byFrontiers in plant science · 2025
    Article
  19. Article
  20. 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

12 authors.

Jinghua Lu *Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, China.ORCID https://orcid.org/0000-0002-9846-1889
Shanshan Li *Institute of Crop Sciences/National Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China.
Shuai DengShandong Shunfeng Biotechnology Co. Ltd., Jinan, China.
Mugui WangInstitute of Crop Sciences/National Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China.ORCID https://orcid.org/0000-0003-0484-086X
Yinghuang WuInstitute of Crop Sciences/National Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China.
Ming LiInstitute of Crop Sciences/National Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China.
Jinsong DongInstitute of Crop Sciences/National Nanfan Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Sanya, China.
Suhui LuShandong Shunfeng Biotechnology Co. Ltd., Jinan, China.
Chunli SuShandong Shunfeng Biotechnology Co. Ltd., Jinan, China.
Guofu LiShandong Shunfeng Biotechnology Co. Ltd., Jinan, China.
Zhaobo LangInstitute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-5551-0126
Jian-Kang ZhuInstitute of Advanced Biotechnology and School of Medicine, Southern University of Science and Technology, Shenzhen, China.

Funding

Hainan Provincial Natural Science Foundation of China 324MS088Innovational Fund for Scientific and Technological Personnel of Hainan Province KJRC2023D18National Natural Science Foundation of China 32188102Project of Sanya Yazhou Bay Science and Technology City SCKJ-JYRC-2023-72Shandong Shunfeng Biotechnology Co. Ltd., Jinan, China
6 · The paper itself

Abstract

Succulents, valued for their drought tolerance and ornamental appeal, are important in the floriculture market. However, only a handful of succulent species can be genetically transformed, making it difficult to improve these plants through genetic engineering. In this study, we adapted the recently developed cut-dip-budding (CDB) gene delivery system to transform three previously recalcitrant succulent varieties - the dicotyledonous Kalanchoe blossfeldiana and Crassula arborescens and the monocotyledonous Sansevieria trifasciata. Capitalizing on the robust ability of cut leaves to regenerate shoots, these plants were successfully transformed by directly infecting cut leaf segments with the Agrobacterium rhizogenes strain K599. The transformation efficiencies were approximately 74%, 5% and 3.9%-7.8%, respectively, for K. blossfeldiana and C. arborescens and S. trifasciata. Using this modified CDB method to deliver the CRISPR/Cas9 construct, gene editing efficiency in K. blossfeldiana at the PDS locus was approximately 70%. Our findings suggest that succulents with shoot regeneration ability from cut leaves can be genetically transformed using the CDB method, thus opening up an avenue for genetic engineering of these plants.

Indexed as

AgrobacteriumGene EditingPlants, Genetically ModifiedTransformation, GeneticCRISPR-Cas SystemsGene Transfer TechniquesKalanchoePlant Leavescut–dip–budding (CDB) delivery systemgene editinggenetic transformationsucculents

Identifiers

PMID38425137
PMCPMC11182575

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.