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Activation of Cryptic Antibiotic Biosynthetic Gene Clusters Guided by RNA-seq Data from Both Streptomyces ansochromogenes and ΔwblA.


ABSTRACT: With the increase of drug resistance caused by the improper use and abuse of antibiotics, human beings are facing a global health crisis. Sequencing of Streptomyces genomes revealed the presence of an important reservoir of secondary metabolic gene clusters for previously unsuspected products with potentially valuable bioactivity. It has therefore become necessary to activate these cryptic pathways through various strategies. Here, we used RNA-seq data to perform a comparative transcriptome analysis of Streptomyces ansochromogenes (wild-type, WT) and its global regulatory gene disruption mutant ΔwblA, in which some differentially expressed genes are associated with the abolished nikkomycin biosynthesis and activated tylosin analogue compounds (TACs) production, and also with the oviedomycin production that is induced by the genetic manipulation of two differentially expressed genes (san7324 and san7324L) encoding RsbR. These results provide a significant clue for the discovery of new drug candidates and the activation of cryptic biosynthetic gene clusters.

SUBMITTER: Li Y 

PROVIDER: S-EPMC8465540 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Activation of Cryptic Antibiotic Biosynthetic Gene Clusters Guided by RNA-seq Data from Both <i>Streptomyces ansochromogenes</i> and ΔwblA.

Li Yue Y   Yu Haiying H   Guan Hanye H   Li Jingjing J   Zhang Jihui J   Xiang Hua H   Li Jine J   Tan Huarong H  

Antibiotics (Basel, Switzerland) 20210910 9


With the increase of drug resistance caused by the improper use and abuse of antibiotics, human beings are facing a global health crisis. Sequencing of <i>Streptomyces</i> genomes revealed the presence of an important reservoir of secondary metabolic gene clusters for previously unsuspected products with potentially valuable bioactivity. It has therefore become necessary to activate these cryptic pathways through various strategies. Here, we used RNA-seq data to perform a comparative transcripto  ...[more]

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