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


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.

SUBMITTER: Jeong Y 

PROVIDER: S-EPMC4895711 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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

Jeong Yujin Y   Kim Ji-Nu JN   Kim Min Woo MW   Bucca Giselda G   Cho Suhyung S   Yoon Yeo Joon YJ   Kim Byung-Gee BG   Roe Jung-Hye JH   Kim Sun Chang SC   Smith Colin P CP   Cho Byung-Kwan BK  

Nature communications 20160602


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 translato  ...[more]

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