Suppr超能文献

关于……中萜类化合物生产可行策略的最新进展

Recent Advances on Feasible Strategies for Monoterpenoid Production in .

作者信息

Gao Qiyu, Wang Luan, Zhang Maosen, Wei Yongjun, Lin Wei

机构信息

Department of Microbiology and Immunology, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China.

State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China.

出版信息

Front Bioeng Biotechnol. 2020 Dec 1;8:609800. doi: 10.3389/fbioe.2020.609800. eCollection 2020.

Abstract

Terpenoids are a large diverse group of natural products which play important roles in plant metabolic activities. Monoterpenoids are the main components of plant essential oils and the active components of some traditional Chinese medicinal herbs. Some monoterpenoids are widely used in medicine, cosmetics and other industries, and they are mainly obtained by plant biomass extraction methods. These plant extraction methods have some problems, such as low efficiency, unstable quality, and high cost. Moreover, the monoterpenoid production from plant cannot satisfy the growing monoterpenoids demand. The development of metabolic engineering, protein engineering and synthetic biology provides an opportunity to produce large amounts of monoterpenoids eco-friendly using microbial cell factories. This mini-review covers current monoterpenoids production using . The monoterpenoids biosynthetic pathways, engineering of key monoterpenoids biosynthetic enzymes, and current monoterpenoids production using were summarized. In the future, metabolically engineered may provide one possible green and sustainable strategy for monoterpenoids supply.

摘要

萜类化合物是一大类多样的天然产物,在植物代谢活动中发挥着重要作用。单萜类化合物是植物精油的主要成分以及一些传统中草药的活性成分。一些单萜类化合物广泛应用于医药、化妆品和其他行业,并且它们主要通过植物生物质提取方法获得。这些植物提取方法存在一些问题,如效率低、质量不稳定和成本高。此外,从植物中生产单萜类化合物无法满足不断增长的单萜类化合物需求。代谢工程、蛋白质工程和合成生物学的发展为利用微生物细胞工厂生态友好地大量生产单萜类化合物提供了机会。本综述涵盖了目前使用……生产单萜类化合物的情况。总结了单萜类化合物的生物合成途径、关键单萜类化合物生物合成酶的工程改造以及目前使用……生产单萜类化合物的情况。未来,经过代谢工程改造的……可能为单萜类化合物的供应提供一种绿色且可持续的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d928/7736617/0dba40d0f06f/fbioe-08-609800-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验