Volume 19, Issue 3 (12-2024)                   MGj 2024, 19(3): 159-171 | Back to browse issues page

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Ghorbani M, Omidi M, Shah Nejat Boushahri A A. Optimization of Genetically pRi-transformed roots induction in Dracocephalum kotschyi Boiss. using Response Surface Methodology. MGj 2024; 19 (3) : 2
URL: http://mg.genetics.ir/article-1-1804-en.html
University of Tehran
Abstract:   (212 Views)
Zaringiah (Dracocephalum kotschyi Boiss.), a perennial medicinal plant native to Iran and classified as endangered, is renowned for its valuable secondary metabolites. However, due to overharvesting and limited availability in the wild, alternative strategies are essential to ensure sustainable production of its bioactive compounds. This study aimed to establish genetically modified hairy roots for enhanced metabolite production by evaluating different strains of Rhizobium rhizogenes (ATCC 15834, A4, and MSU440) and various explant types (leaf, node, and internode). Optimization of root induction was performed using Response Surface Methodology (RSM) to determine the optimal concentrations of L-arginine, acetosyringone, sucrose, and culture medium. The most efficient genetically modified root line containing the Ri plasmid was subsequently selected based on induction efficiency and growth rate.The results indicated that the MSU440 strain, combined with leaf explants, achieved the highest average root induction rates of 62% and 52%, respectively. Optimal induction conditions were identified as L-arginine at 0.5–1 mM, acetosyringone at 85–110 µM, and sucrose at 15–20 g/L. Furthermore, transgenic roots derived from the MSU440 strain cultured on solid 1/4 MS medium exhibited the highest growth rates among all evaluated lines.These findings highlight the potential of hairy root cultures as a sustainable and efficient platform for the production of secondary metabolites in D. kotschyi. This approach provides a promising alternative to mitigate overharvesting while conserving this endangered species.
Article number: 2
Full-Text [PDF 1208 kb]   (93 Downloads)    
Type of Study: Applicable | Subject: Subject 01
Received: 2023/01/23 | Accepted: 2024/12/7 | Published: 2025/01/14

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