Enhanced Agrobacterium-Mediated Transformation in Chinese Cabbage via Tenoxicam, Phytohormone Optimization, and Visual Reporters

Chinese cabbage (<i>Brassica rapa</i> ssp. <i>pekinensis</i>) is a globally important leafy vegetable, but functional genomics research on its recalcitrance to <i>Agrobacterium</i>-mediated genetic transformation is severely limited. In this study, we demonstrate that both <i>Agrobacterium</i> infection and antibiotic selection significantly inhibit cotyledonary petiole regeneration, representing one principal bottleneck to high-throughput transformation. Infection with different <i>Agrobacterium</i> strains suppressed the regenerated shoot per explant by 30.98-69.16%. Supplying the salicylic acid signaling inhibitor tenoxicam in the seed germination medium raised post-infection regeneration by up to 37.90%. Compared with non-infected controls, the optimal NAA concentration for explant regeneration after infection was higher, and 0.5 mg/L increased post-infection regeneration by 27.66%. Replacing antibiotic selectable markers with the visual reporter eYGFPuv or RUBY eliminated phytotoxicity, reduced false-positive shoots, and further elevated transformation efficiency to 19.33-20.00% (versus 2.67-6.67% under antibiotic selection). The integrated protocol yielded stable RUBY overexpressing lines, the biomass of which declined with rising transcript levels. Restricting RUBY expression to the inner head leaves generated a novel germplasm with less yield penalty. This work provides a high-efficiency transformation method that will accelerate gene discovery and genome editing in Chinese cabbage.

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Publication Details

Journal
Plants
Published
2025-12-13
DOI
https://doi.org/10.3390/plants14243802
Primary Topic
Plant tissue culture and regeneration
Type
article
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article

Enhanced Agrobacterium-Mediated Transformation in Chinese Cabbage via Tenoxicam, Phytohormone Optimization, and Visual Reporters

Shuantao Liu, Na Xu, Ronghua Wang, Qiao‐Yun Li et al.
Plants
Plant tissue culture and regeneration
article

Enhanced Agrobacterium-Mediated Transformation in Chinese Cabbage via Tenoxicam, Phytohormone Optimization, and Visual Reporters

Shuantao Liu, Na Xu, Ronghua Wang, Qiao‐Yun Li, Zhigang Zhang, Shubin Wang, Zhizhong Zhao
article en

Abstract

Chinese cabbage (<i>Brassica rapa</i> ssp. <i>pekinensis</i>) is a globally important leafy vegetable, but functional genomics research on its recalcitrance to <i>Agrobacterium</i>-mediated genetic transformation is severely limited. In this study, we demonstrate that both <i>Agrobacterium</i> infection and antibiotic selection significantly inhibit cotyledonary petiole regeneration, representing one principal bottleneck to high-throughput transformation. Infection with different <i>Agrobacterium</i> strains suppressed the regenerated shoot per explant by 30.98-69.16%. Supplying the salicylic acid signaling inhibitor tenoxicam in the seed germination medium raised post-infection regeneration by up to 37.90%. Compared with non-infected controls, the optimal NAA concentration for explant regeneration after infection was higher, and 0.5 mg/L increased post-infection regeneration by 27.66%. Replacing antibiotic selectable markers with the visual reporter eYGFPuv or RUBY eliminated phytotoxicity, reduced false-positive shoots, and further elevated transformation efficiency to 19.33-20.00% (versus 2.67-6.67% under antibiotic selection). The integrated protocol yielded stable RUBY overexpressing lines, the biomass of which declined with rising transcript levels. Restricting RUBY expression to the inner head leaves generated a novel germplasm with less yield penalty. This work provides a high-efficiency transformation method that will accelerate gene discovery and genome editing in Chinese cabbage.

PlantsVol. 14(24)
Shandong Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 63%
Plant tissue culture and regeneration
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Enhanced Agrobacterium-Mediated Transformation in Chinese Cabbage via Tenoxicam, Phytohormone Optimization, and Visual Reporters — Shuantao Liu, Na Xu, et al. · Plants (2025) | TGRS Research Map | TGRS