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Enhanced Production of Active Ecumicin Component with Higher Antituberculosis Activity by the Rare Actinomycete Nonomuraea sp. MJM5123 Using a Novel Promoter-Engineering Strategy.

Chun SuNguyen-Quang TuanMi-Jin LeeXia-Ying ZhangJin-Hua ChengYing-Yu JinXin-Qing ZhaoJoo-Won Suh
Published in: ACS synthetic biology (2020)
Ecumicins are potent antituberculosis natural compounds produced by the rare actinomycete Nonomuraea sp. MJM5123. Here, we report an efficient genetic manipulation platform of this rare actinomycete. CRISPR/Cas9-based genome editing was achieved based on successful sporulation. Two genes in the ecumicin gene cluster were further investigated, ecuN and ecuE, which potentially encode a pretailoring cytochrome P450 hydroxylase and the core peptide synthase, respectively. Deletion of ecuN led to an enhanced ratio of the ecumicin compound EcuH16 relative to that of EcuH14, indicating that EcuN is indeed a P450 hydroxylase, and there is catalyzed hydroxylation at the C-3 position in unit12 phenylalanine to transform EcuH16 to the compound EcuH14. Furthermore, promoter engineering of ecuE by employing the strong promoter kasO*P was performed and optimized. We found that integrating the endogenous ribosome-binding site (RBS) of ecuE together with the RBS from kasO*P led to improved ecumicin production and resulted in a remarkably high EcuH16/EcuH14 ratio. Importantly, production of the more active component EcuH16 was considerably increased in the double RBSs engineered strain EPR1 compared to that in the wild-type strain, reaching 310 mg/L. At the same time, this production level was 2.3 times higher than that of the control strain EPA1 with only one RBS from kasO*P. To the best of our knowledge, this is the first report of genome editing and promoter engineering on the rare actinomycete Nonomuraea.
Keyphrases
  • genome editing
  • crispr cas
  • dna methylation
  • genome wide
  • transcription factor
  • gene expression
  • wild type
  • healthcare
  • copy number
  • genome wide identification
  • room temperature
  • bioinformatics analysis