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Primary transcriptome and translatome analysis determines transcriptional and translational regulatory elements encoded in the Streptomyces clavuligerus genome

机译:初级转录组和转录组分析确定链霉菌链霉菌基因组中编码的转录和翻译调控元件

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摘要

Determining transcriptional and translational regulatory elements in GC-rich Streptomyces genomes is essential to elucidating the complex regulatory networks that govern secondary metabolite biosynthetic gene cluster (BGC) expression. However, information about such regulatory elements has been limited for Streptomyces genomes. To address this limitation, a high-quality genome sequence of β-lactam antibiotic-producing Streptomyces clavuligerus ATCC 27 064 is completed, which contains 7163 newly annotated genes. This provides a fundamental reference genome sequence to integrate multiple genome-scale data types, including dRNA-Seq, RNA-Seq and ribosome profiling. Data integration results in the precise determination of 2659 transcription start sites which reveal transcriptional and translational regulatory elements, including −10 and −35 promoter components specific to sigma (σ) factors, and 5′-untranslated region as a determinant for translation efficiency regulation. Particularly, sequence analysis of a wide diversity of the −35 components enables us to predict potential σ-factor regulons, along with various spacer lengths between the −10 and −35 elements. At last, the primary transcriptome landscape of the β-lactam biosynthetic pathway is analyzed, suggesting temporal changes in metabolism for the synthesis of secondary metabolites driven by transcriptional regulation. This comprehensive genetic information provides a versatile genetic resource for rational engineering of secondary metabolite BGCs in Streptomyces.
机译:确定富含GC的链霉菌基因组中的转录和翻译调控元件对于阐明控制次级代谢产物生物合成基因簇(BGC)表达的复杂调控网络至关重要。但是,有关这种调节元件的信息对于链霉菌基因组是有限的。为了解决这个限制,完成了生产β-内酰胺抗生素的链霉菌克拉维链霉菌ATCC 27064的高质量基因组序列,其中包含7163个新注释的基因。这提供了基本的参考基因组序列,以整合多种基因组规模的数据类型,包括dRNA-Seq,RNA-Seq和核糖体谱。数据整合可精确确定2659个转录起始位点,这些位点揭示了转录和翻译调控元件,包括特定于sigma(σ)因子的-10和-35启动子成分,以及5'非翻译区,作为翻译效率调节的决定因素。特别是,对-35个组分的多样性进行的序列分析使我们能够预测潜在的σ因子调节因子,以及-10和-35个元素之间的各种间隔长度。最后,分析了β-内酰胺生物合成途径的主要转录组图谱,表明了由转录调控驱动的次级代谢产物的合成代谢的时间变化。该全面的遗传信息为链霉菌中次生代谢物BGC的合理工程设计提供了广泛的遗传资源。

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