Systems and synthetic biology to elucidate secondary metabolite biosynthetic gene clusters encoded inStreptomycesgenomes

次生代谢物 链霉菌 生物 计算生物学 合成生物学 基因组 基因 代谢物 遗传学 生物化学 细菌
作者
Namil Lee,Soonkyu Hwang,Woori Kim,Yongjae Lee,Ji Hun Kim,Suhyung Cho,Hyun Uk Kim,Yeo Joon Yoon,Min‐Kyu Oh,Bernhard Ø. Palsson,Byung‐Kwan Cho
出处
期刊:Natural Product Reports [The Royal Society of Chemistry]
卷期号:38 (7): 1330-1361 被引量:55
标识
DOI:10.1039/d0np00071j
摘要

Covering: 2010 to 2020Over the last few decades, Streptomyces have been extensively investigated for their ability to produce diverse bioactive secondary metabolites. Recent advances in Streptomyces research have been largely supported by improvements in high-throughput technology 'omics'. From genomics, numerous secondary metabolite biosynthetic gene clusters were predicted, increasing their genomic potential for novel bioactive compound discovery. Additional omics, including transcriptomics, translatomics, interactomics, proteomics and metabolomics, have been applied to obtain a system-level understanding spanning entire bioprocesses of Streptomyces, revealing highly interconnected and multi-layered regulatory networks for secondary metabolism. The comprehensive understanding derived from this systematic information accelerates the rational engineering of Streptomyces to enhance secondary metabolite production, integrated with the exploitation of the highly efficient 'Design-Build-Test-Learn' cycle in synthetic biology. In this review, we describe the current status of omics applications in Streptomyces research to better understand the organism and exploit its genetic potential for higher production of valuable secondary metabolites and novel secondary metabolite discovery.
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