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鉴别与分析吸水链霉菌 10-22 中合成噻肽类抗生素环噻唑霉素的生物合成基因簇。

Identification and analysis of the biosynthetic gene cluster encoding the thiopeptide antibiotic cyclothiazomycin in Streptomyces hygroscopicus 10-22.

机构信息

Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, China.

出版信息

Appl Environ Microbiol. 2010 Apr;76(7):2335-44. doi: 10.1128/AEM.01790-09. Epub 2010 Feb 12.

Abstract

Thiopeptide antibiotics are an important class of natural products resulting from posttranslational modifications of ribosomally synthesized peptides. Cyclothiazomycin is a typical thiopeptide antibiotic that has a unique bridged macrocyclic structure derived from an 18-amino-acid structural peptide. Here we reported cloning, sequencing, and heterologous expression of the cyclothiazomycin biosynthetic gene cluster from Streptomyces hygroscopicus 10-22. Remarkably, successful heterologous expression of a 22.7-kb gene cluster in Streptomyces lividans 1326 suggested that there is a minimum set of 15 open reading frames that includes all of the functional genes required for cyclothiazomycin production. Six genes of these genes, cltBCDEFG flanking the structural gene cltA, were predicted to encode the enzymes required for the main framework of cyclothiazomycin, and two enzymes encoded by a putative operon, cltMN, were hypothesized to participate in the tailoring step to generate the tertiary thioether, leading to the final cyclization of the bridged macrocyclic structure. This rigorous bioinformatics analysis based on heterologous expression of cyclothiazomycin resulted in an ideal biosynthetic model for us to understand the biosynthesis of thiopeptides.

摘要

噻唑肽抗生素是一类重要的天然产物,来源于核糖体合成肽的翻译后修饰。环噻唑霉素是一种典型的噻唑肽抗生素,具有独特的桥接大环结构,源自 18 个氨基酸结构肽。在这里,我们报道了吸水链霉菌 10-22 中环噻唑霉素生物合成基因簇的克隆、测序和异源表达。值得注意的是,22.7kb 基因簇在变铅青链霉菌 1326 中的成功异源表达表明,存在一组最少的 15 个开放阅读框,其中包含环噻唑霉素生产所需的所有功能基因。这些基因中的六个基因,cltBCDEFG 侧翼结构基因 cltA,预测编码环噻唑霉素主要框架所需的酶,而由假定操纵子 cltMN 编码的两个酶则假设参与修饰步骤以生成三级硫醚,从而导致桥接大环结构的最终环化。这种基于环噻唑霉素异源表达的严格生物信息学分析为我们理解噻唑肽的生物合成提供了理想的生物合成模型。

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