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The dynamic transcriptional and translational landscape of the model antibiotic producer Streptomyces coelicolor A3(2)

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  • Yujin Jeong

    (Korea Advanced Institute of Science and Technology
    KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology)

  • Ji-Nu Kim

    (School of Chemical and Biological Engineering, Seoul National University)

  • Min Woo Kim

    (School of Chemical and Biological Engineering, Seoul National University)

  • Giselda Bucca

    (Faculty of Health and Medical Sciences, University of Surrey
    Present address: School of Pharmacy and Biomolecular Sciences, University of Brighton, Brighton BN2 4GJ, UK.)

  • Suhyung Cho

    (Korea Advanced Institute of Science and Technology
    KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology)

  • Yeo Joon Yoon

    (Ewha Womans University)

  • Byung-Gee Kim

    (School of Chemical and Biological Engineering, Seoul National University)

  • Jung-Hye Roe

    (School of Biological Sciences, Seoul National University)

  • Sun Chang Kim

    (Korea Advanced Institute of Science and Technology
    KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology
    Intelligent Synthetic Biology Center)

  • Colin P. Smith

    (Faculty of Health and Medical Sciences, University of Surrey
    Present address: School of Pharmacy and Biomolecular Sciences, University of Brighton, Brighton BN2 4GJ, UK.)

  • Byung-Kwan Cho

    (Korea Advanced Institute of Science and Technology
    KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology
    Intelligent Synthetic Biology Center)

Abstract

Individual Streptomyces species have the genetic potential to produce a diverse array of natural products of commercial, medical and veterinary interest. However, these products are often not detectable under laboratory culture conditions. To harness their full biosynthetic potential, it is important to develop a detailed understanding of the regulatory networks that orchestrate their metabolism. Here we integrate nucleotide resolution genome-scale measurements of the transcriptome and translatome of Streptomyces coelicolor, the model antibiotic-producing actinomycete. Our systematic study determines 3,570 transcription start sites and identifies 230 small RNAs and a considerable proportion (∼21%) of leaderless mRNAs; this enables deduction of genome-wide promoter architecture. Ribosome profiling reveals that the translation efficiency of secondary metabolic genes is negatively correlated with transcription and that several key antibiotic regulatory genes are translationally induced at transition growth phase. These findings might facilitate the design of new approaches to antibiotic discovery and development.

Suggested Citation

  • Yujin Jeong & Ji-Nu Kim & Min Woo Kim & Giselda Bucca & Suhyung Cho & Yeo Joon Yoon & Byung-Gee Kim & Jung-Hye Roe & Sun Chang Kim & Colin P. Smith & Byung-Kwan Cho, 2016. "The dynamic transcriptional and translational landscape of the model antibiotic producer Streptomyces coelicolor A3(2)," Nature Communications, Nature, vol. 7(1), pages 1-11, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11605
    DOI: 10.1038/ncomms11605
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    Cited by:

    1. Hiroshi Otani & Nigel J. Mouncey, 2022. "RIViT-seq enables systematic identification of regulons of transcriptional machineries," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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