Ahmad Zishan, Ganie Irfan Bashir, Firdaus Fatima, Ramakrishnan Muthusamy, Shahzad Anwar, Ding Yulong
State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Centre for Sustainable Forestry in Southern China, Bamboo Research Institute, Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, School of Life Sciences, Nanjing Forestry University, Nanjing 210037, China.
Department of Environmental Engineering, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China.
Plants (Basel). 2024 Aug 5;13(15):2171. doi: 10.3390/plants13152171.
Withanolides are naturally occurring steroidal lactones found in certain species of the genus, especially (commonly known as Ashwagandha). These compounds have gained considerable attention due to their wide range of therapeutic properties and potential applications in modern medicine. To meet the rapidly growing demand for withanolides, innovative approaches such as in vitro culture techniques and synthetic biology offer promising solutions. In recent years, synthetic biology has enabled the production of engineered withanolides using heterologous systems, such as yeast and bacteria. Additionally, in vitro methods like cell suspension culture and hairy root culture have been employed to enhance withanolide production. Nevertheless, one of the primary obstacles to increasing the production of withanolides using these techniques has been the intricacy of the biosynthetic pathways for withanolides. The present article examines new developments in withanolide production through in vitro culture. A comprehensive summary of viable traditional methods for producing withanolide is also provided. The development of withanolide production in heterologous systems is examined and emphasized. The use of machine learning as a potent tool to model and improve the bioprocesses involved in the generation of withanolide is then discussed. In addition, the control and modification of the withanolide biosynthesis pathway by metabolic engineering mediated by CRISPR are discussed.
睡茄内酯是在睡茄属某些物种中天然存在的甾体内酯,尤其是印度人参(俗称冬樱花)。由于这些化合物具有广泛的治疗特性以及在现代医学中的潜在应用,它们受到了相当大的关注。为了满足对睡茄内酯迅速增长的需求,体外培养技术和合成生物学等创新方法提供了有前景的解决方案。近年来,合成生物学已能够利用异源系统(如酵母和细菌)生产工程化睡茄内酯。此外,细胞悬浮培养和毛状根培养等体外方法已被用于提高睡茄内酯的产量。然而,使用这些技术增加睡茄内酯产量的主要障碍之一是睡茄内酯生物合成途径的复杂性。本文研究了通过体外培养生产睡茄内酯的新进展。还提供了可行的传统睡茄内酯生产方法的全面总结。研究并强调了异源系统中睡茄内酯生产的发展。然后讨论了使用机器学习作为一种强大工具来建模和改进参与睡茄内酯生成的生物过程。此外,还讨论了通过CRISPR介导的代谢工程对睡茄内酯生物合成途径的控制和修饰。