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

机译:原发性转录组和翻译分析决定了在链霉菌基因组中编码的转录和翻译调节元素

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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 beta-lactam antibiotic-producing Streptomyces clavuligerus ATCC 27064 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 (sigma) 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 sigma-factor regulons, along with various spacer lengths between the -10 and -35 elements. At last, the primary transcriptome landscape of the beta-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节元件对于阐明治治次级代谢物生物合成基因簇(BGC)表达的复杂调节网络至关重要。然而,有关这种调节因素的信息受到链霉菌基因组的限制。为了解决这种限制,完成了β-内酰胺抗生素抗生素的高品质基因组序列,完成了蛋白酶菌氏菌氏菌,其含有7163个新注释的基因。这提供了基本参考基因组序列,用于整合多种基因组数据类型,包括DRNA-SEQ,RNA-SEQ和核糖体分析。数据集成导致2659种转录起始位点的精确测定,该转录位点显示转录和平移调节元件,包括对Sigma(Sigma)因子的-10和-35个启动子组分,以及5'-unralstated地区作为翻译效率调节的决定因素。特别地,对-35组分的广泛变化的序列分析使我们能够预测潜在的Σ因子调节器,以及在-10和-35元件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景观,表明代谢的时间变化用于合成通过转录调节驱动的次生代谢物。这种综合遗传信息为链霉菌中次生代谢物BGC的合理工程提供了一种多功能遗传资源。

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  • 来源
    《Nucleic Acids Research》 |2019年第12期|共16页
  • 作者单位

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

    Univ Calif San Diego Dept Bioengn La Jolla CA 92093 USA;

    Korea Adv Inst Sci &

    Technol Dept Biol Sci Daejeon 34141 South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物化学;
  • 关键词

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