生物
胚胎发生
继代培养(生物学)
氧化应激
老茧
植物
细胞生物学
体外
核糖体RNA
生物化学
氧化磷酸化
体细胞
非生物胁迫
核糖体蛋白
活性氧
代谢组学
作者
Liling Liang,Ying-Chun Liu,Meng Li,Jiushi Liu,Dan Liu,LI Xin-shuang,Xi Zhang,Guang-Li Shi,Zi Wang,Dan Sun,Jun Ai
标识
DOI:10.1093/treephys/tpag084
摘要
Schisandra chinensis (Turcz.) is a valuable medicinal woody plant, yet its industrial propagation is constrained by the rapid decline in embryogenic competence of callus during in vitro culture. Elucidating the underlying mechanism is essential for establishing a sustainable and efficient micropropagation system. This study aimed to systematically clarify the physiological and molecular mechanisms underlying the decline in embryogenic potential across successive subculture generations in S. chinensis embryogenic callus, thereby providing a theoretical foundation for optimizing the somatic embryogenesis protocol. An integrated multi-omics approach was employed, combining phenotypic, physiological, transcriptomic and metabolomic analyses of callus at key subculture stages (P1, P4 and P7). The results indicate that embryogenic potential is maintained under a state of balanced energy metabolism and redox homeostasis. Highly embryogenic (P4) callus exhibited active energy and amino acid metabolism, supported by up-regulated hub genes (ScACO3, ScENO1, ScHSP70-4). In contrast, prolonged culture induced severe oxidative stress, characterized by the accumulation of H₂O₂ and O₂-. This oxidative burden activated a ribosomal stress response, with significant up-regulation of ribosomal protein genes (ScRPL7B, ScRPS12, ScRPS11B, ScRPL10A, ScRPL10), ultimately leading to proteostatic collapse and loss of embryogenic capacity. We propose that an 'energy-redox-ribosome axis' serves as the core regulatory cascade determining cell fate under culture stress. These findings identify novel targets for delaying embryogenic decline through antioxidant supplementation and culture regimen optimization, offering a sustainable strategy to mitigate in vitro stress in the propagation of woody perennial plants.
科研通智能强力驱动
Strongly Powered by AbleSci AI