Synthetic Biology Advanced Natural Product Discovery
A wide variety of bacteria, fungi and plants can produce bioactive secondary metabolites, which are often referred to as natural products. With the rapid development of DNA sequencing technology and bioinformatics, a large number of putative biosynthetic gene clusters have been reported. However, on...
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MDPI AG
2021
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oai:doaj.org-article:bde96816a3ab4a09b257da9b1cb807d22021-11-25T18:20:54ZSynthetic Biology Advanced Natural Product Discovery10.3390/metabo111107852218-1989https://doaj.org/article/bde96816a3ab4a09b257da9b1cb807d22021-11-01T00:00:00Zhttps://www.mdpi.com/2218-1989/11/11/785https://doaj.org/toc/2218-1989A wide variety of bacteria, fungi and plants can produce bioactive secondary metabolites, which are often referred to as natural products. With the rapid development of DNA sequencing technology and bioinformatics, a large number of putative biosynthetic gene clusters have been reported. However, only a limited number of natural products have been discovered, as most biosynthetic gene clusters are not expressed or are expressed at extremely low levels under conventional laboratory conditions. With the rapid development of synthetic biology, advanced genome mining and engineering strategies have been reported and they provide new opportunities for discovery of natural products. This review discusses advances in recent years that can accelerate the design, build, test, and learn (DBTL) cycle of natural product discovery, and prospects trends and key challenges for future research directions.Junyang WangJens NielsenZihe LiuMDPI AGarticlenatural productsbiosynthetic gene clusterssynthetic biologygenome mining and engineering strategiesdesign-build-test-learn (DBTL) cycleMicrobiologyQR1-502ENMetabolites, Vol 11, Iss 785, p 785 (2021) |
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natural products biosynthetic gene clusters synthetic biology genome mining and engineering strategies design-build-test-learn (DBTL) cycle Microbiology QR1-502 |
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natural products biosynthetic gene clusters synthetic biology genome mining and engineering strategies design-build-test-learn (DBTL) cycle Microbiology QR1-502 Junyang Wang Jens Nielsen Zihe Liu Synthetic Biology Advanced Natural Product Discovery |
description |
A wide variety of bacteria, fungi and plants can produce bioactive secondary metabolites, which are often referred to as natural products. With the rapid development of DNA sequencing technology and bioinformatics, a large number of putative biosynthetic gene clusters have been reported. However, only a limited number of natural products have been discovered, as most biosynthetic gene clusters are not expressed or are expressed at extremely low levels under conventional laboratory conditions. With the rapid development of synthetic biology, advanced genome mining and engineering strategies have been reported and they provide new opportunities for discovery of natural products. This review discusses advances in recent years that can accelerate the design, build, test, and learn (DBTL) cycle of natural product discovery, and prospects trends and key challenges for future research directions. |
format |
article |
author |
Junyang Wang Jens Nielsen Zihe Liu |
author_facet |
Junyang Wang Jens Nielsen Zihe Liu |
author_sort |
Junyang Wang |
title |
Synthetic Biology Advanced Natural Product Discovery |
title_short |
Synthetic Biology Advanced Natural Product Discovery |
title_full |
Synthetic Biology Advanced Natural Product Discovery |
title_fullStr |
Synthetic Biology Advanced Natural Product Discovery |
title_full_unstemmed |
Synthetic Biology Advanced Natural Product Discovery |
title_sort |
synthetic biology advanced natural product discovery |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/bde96816a3ab4a09b257da9b1cb807d2 |
work_keys_str_mv |
AT junyangwang syntheticbiologyadvancednaturalproductdiscovery AT jensnielsen syntheticbiologyadvancednaturalproductdiscovery AT ziheliu syntheticbiologyadvancednaturalproductdiscovery |
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1718411343507226624 |