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<p>Agrobacterium-mediated genetic transformation of plants, including tomato, faces challenges related to genotype variability and regeneration rates. Research suggests that growth-regulating factors (GRFs) and their interacting factors (GIFs) are key to enhancing transformation and regeneration in various plant species. However, their specific effects on tomato remain underexplored. In this study, we identified and analyzed 11 <i>SlGRF</i> homologous genes in tomato and validated the interaction between SlGRF4 and SlGIF1. In addition, we demonstrated the effectiveness of the RUBY visual marker system in tomato transgenic research. Developmental regulators significantly influenced callus transformation and shoot regeneration rates across three tomato genotypes, with the SlGRF4-GIF1 combination providing the most consistent enhancement in both processes. These findings hold promise for tomato improvement via genome editing.</p>

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Genotype-dependent enhancement of tomato transformation and regeneration by GRF4 and GIF1

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月12日

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  • Yaping Tang,
  • Xinyan Shen,
  • Xuan Deng,
  • Guoru Zhang,
  • Lei Song,
  • Bo Liu,
  • Shengbao Yang,
  • Yongen Lu,
  • Bo Ouyang

摘要

Agrobacterium-mediated genetic transformation of plants, including tomato, faces challenges related to genotype variability and regeneration rates. Research suggests that growth-regulating factors (GRFs) and their interacting factors (GIFs) are key to enhancing transformation and regeneration in various plant species. However, their specific effects on tomato remain underexplored. In this study, we identified and analyzed 11 SlGRF homologous genes in tomato and validated the interaction between SlGRF4 and SlGIF1. In addition, we demonstrated the effectiveness of the RUBY visual marker system in tomato transgenic research. Developmental regulators significantly influenced callus transformation and shoot regeneration rates across three tomato genotypes, with the SlGRF4-GIF1 combination providing the most consistent enhancement in both processes. These findings hold promise for tomato improvement via genome editing.