振荡-静置循环培养新策略提升灵芝三萜合成与菌丝体活性  

Oscillation-static cycle cultivation enhances the synthesis of triterpenes and mycelium activity in Ganoderma lucidum

作　　者：姜幸怡 韩伟[2] 郭嘉 刘艳芳[1] 徐爱国 唐传红[1] 冯杰[1] 张劲松[1] JIANG Xingyi;HAN Wei;GUO Jia;LIU Yanfang;XU Aiguo;TANG Chuanhong;FENG Jie;ZHANG Jinsong(Key Laboratory of Edible Fungi Resources and Utilization(South),Ministry of Agriculture and Rural Affairs,National Engineering Research Center of Edible Fungi,Institute of Edible Fungi,Shanghai Academy of Agricultural Sciences,Shanghai 201403,China;Shanghai Key Laboratory of New Drug Design,Engineering Research Centre of Pharmaceutical Process Chemistry,Ministry of Education,School of Pharmacy,East China University of Science and Technology,Shanghai 200237,China;Xizang Plateau Institute of Biology,Lhasa 850000,Xizang,China)

机构地区：[1]上海市农业科学院食用菌研究所、国家食用菌工程技术研究中心、农业农村部南方食用菌资源利用重点实验室,上海201403 [2]华东理工大学药学院、制药工程与过程化学教育部工程研究中心、上海市新药设计重点实验室,上海200237 [3]西藏自治区高原生物研究所,西藏拉萨850000

出　　处：《生物工程学报》2024年第9期3189-3200,共12页Chinese Journal of Biotechnology

基　　金：上海市现代农业产业技术体系项目(沪农科产字[2022]第9号);西藏自治区重点研发计划(XZ202301ZY0007N);上海市农业科学院卓越团队建设计划(2022A-03);上海市农业科学院攀高计划(2022-2024)。

摘　　要：灵芝作为历史悠久的食药两用型真菌,其药用价值主要源自灵芝三萜这一主要活性物质,灵芝三萜具有抗肿瘤、抗氧化等药理活性。本研究旨在建立高效液态发酵生产灵芝三萜的技术体系。针对传统深层发酵和振荡-静置两阶段培养的局限性,利用振荡-静置循环培养工艺,结合遗传算法构建人工神经网络模型进行优化。在优化条件下,液态发酵高产灵芝三萜的最佳培养方式为振荡2.8 d-静置7.3 d-振荡0.2 d-静置0.3 d。此条件下,灵芝三萜含量达到20.82 mg/g,灵芝酸得率为129.09 mg/L,与Z10J0相比提高了324.78%,且培养周期缩短至10.6 d。同时,该培养方式下菌丝体具有较好的抗肿瘤活性和抗氧化活性。本研究开发了一种经济有效的液态发酵培养方式,可简化工艺流程、缩短发酵周期并有效改善传统培养方式的弊端;同时为液态发酵高产灵芝三萜的规模化应用提供了参考,具有广阔的应用前景。Ganoderma lucidum is a precious fungus with both edible and medicinal values and has a long history of medical use.Triterpenes as the main active components endow G.lucidum with anti-tumor,antioxidant,and other pharmacological activities.The present study endeavors to establish a proficient liquid-state fermentation technology for the enhanced production of triterpenes.In view of the limitations inherent in conventional submerged fermentation and oscillation-static two-stage cultivation,this study established an oscillation-static cycle cultivation process and optimized the cultivation conditions by building an artificial neural network model based on genetic algorithms.The cultivation conditions for the high-yield production of triterpenes were optimized as follows:2.8 days of oscillation,7.3 days of static cultivation,0.2 day of oscillation,and 0.3 day of static cultivation.Under these conditions,the content of triterpenes reached 20.82 mg/g.The yield of triterpenes reached 129.09 mg/L,showing a remarkable increase of 324.78%compared with that of the Z10J0 method.Moreover,the established method shortened the cultivation cycle by 10.6 days.The mycelia cultivated under this regimen exhibited commendable anti-tumor and antioxidant activities.This study not only presents an economical liquid-state fermentation approach but also streamlines the fermentation flow,reduces fermentation duration,and effectively ameliorates drawbacks associated with conventional cultivation methods.In addition,this study gives valuable insights into the scaled application of liquid-state fermentation in the high-yield production of triterpenes,which showcases broad prospects.

关 键 词：液态发酵 灵芝三萜 振荡-静置循环培养 人工神经网络 抗肿瘤活性 抗氧化活性 

分 类 号：TS219[轻工技术与工程—粮食、油脂及植物蛋白工程]