Systems and synthetic biology to elucidate secondary metabolite biosynthetic gene clusters encoded in: Streptomyces genomes

Namil Lee, Soonkyu Hwang, Woori Kim, Yongjae Lee, Ji Hun Kim, Suhyung Cho, Hyun Uk Kim, Yeo Joon Yoon, Min Kyu Oh, Bernhard O. Palsson, Byung Kwan Cho*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)

Abstract

Covering: 2010 to 2020 Over 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. This journal is

Original languageEnglish
Pages (from-to)1330-1361
Number of pages32
JournalNatural Product Reports
Volume38
Issue number7
DOIs
Publication statusPublished - 21 Jul 2021

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (2018M3A9F3079664 to B.-K.C., 2018M3A9F3079662 to M.-K.O., and 2019R1A2B5B03069338 to Y.J.Y). This research was also supported by the Collaborative Genome Program of the Korea Institute of Marine Science and Technology Promotion (KIMST) funded by the Ministry of Oceans and Fisheries (MOF) (No. 20180430 to Y.J.Y). This work was also supported by a grant from the Novo Nordisk Foundation (NNF10CC1016517 to B.O.P).

Publisher Copyright:
© The Royal Society of Chemistry.

Other keywords

  • Genome, Bacterial
  • Genomics
  • Metabolomics
  • Multigene Family
  • Proteomics
  • Secondary Metabolism/genetics
  • Streptomyces/genetics
  • Synthetic Biology
  • Transcriptome

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