Engineered production of bioactive natural products from medicinal plants


FİDAN Ö., Ren J., Zhan J.

World Journal of Traditional Chinese Medicine, vol.8, no.1, pp.59-76, 2022 (ESCI) identifier identifier

  • Publication Type: Article / Review
  • Volume: 8 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.4103/wjtcm.wjtcm_66_21
  • Journal Name: World Journal of Traditional Chinese Medicine
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.59-76
  • Keywords: Flavonoids, terpenoids, alkaloids, engineered production, plant natural products, DE-NOVO PRODUCTION, CENTRAL METABOLIC PATHWAYS, ESCHERICHIA-COLI, ARTEMISIA-ANNUA, ANTIMICROBIAL ACTIVITY, NOSCAPINE BIOSYNTHESIS, SECONDARY METABOLITES, BENZYLISOQUINOLINE ALKALOIDS, SACCHAROMYCES-CEREVISIAE, TERPENOID BIOSYNTHESIS
  • Kayseri University Affiliated: No

Abstract

© 2022 Medknow. All rights reserved.Plant natural products have been particularly important due to their use in food, cosmetic, and pharmaceutical industries. In particular, Traditional Chinese Medicine provides a precious potential for the discovery of bioactive natural products and development of novel modern medicines. However, the existing production methods for plant natural products such as chemical synthesis and plant extraction does not meet the current demand. Due to their environmental and economic concerns, engineered production of valuable natural products in microbial hosts has become an attractive alternative platform. This review covers the recent advances in the engineered production of plant natural products in microorganisms. A special focus was placed on the biotechnological production of plant-derived terpenoids, flavonoids, and alkaloids. Some successful examples of engineered production of plant natural products (or their precursors) such as artemisinin, paclitaxel, naringenin, quercetin, berberine, and noscapine are summarized. This clearly indicates that the engineered production method is a promising approach with various advantages over current methods.