The dynamic transcriptional and translational landscape of the model antibiotic producer Streptomyces coelicolor A3(2).
The dynamic transcriptional and translational landscape of the model antibiotic producer Streptomyces coelicolor A3(2).
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DOI：
10.1038/ncomms11605
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发表时间：
2016-06-02
影响因子：
16.6
通讯作者：
Cho BK
中科院分区：
文献类型：
--
作者：
Jeong Y;Kim JN;Kim MW;Bucca G;Cho S;Yoon YJ;Kim BG;Roe JH;Kim SC;Smith CP;Cho BK
个别链霉菌物种具有遗传潜力，可以生产一系列具有商业、医疗和兽医价值的天然产品。然而，在实验室培养条件下，这些产品通常是检测不到的。为了充分利用它们的生物合成潜力，重要的是要详细了解协调它们新陈代谢的调控网络。在这里，我们整合了天蓝色链霉菌的转录组和翻译组的核苷酸分辨率基因组尺度的测量，天蓝色链霉菌是产生抗生素的模式放线菌。我们的系统研究确定了3,570个转录起始点，识别出230个小RNA和相当一部分(∼21%)的无领导mRNAs；这使得推断全基因组启动子结构成为可能。核糖体图谱显示，次生代谢基因的翻译效率与转录呈负相关，几个关键的抗生素调控基因在过渡生长阶段受到翻译诱导。这些发现可能有助于设计新的抗生素发现和开发方法。链霉菌属细菌产生各种各样的天然产物，其生物合成受到复杂的调控网络的影响。在这里，作者提出了一种高分辨率，全基因组分析的转录组和翻译组的天蓝色链霉菌在不同的生长条件。
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. Bacteria of the genus Streptomyces produce a great variety of natural products, the biosynthesis of which is subject to complex regulatory networks. Here the authors present a high-resolution, genome-wide analysis of the transcriptome and translatome of Streptomyces coelicolor under various growth conditions.