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Re-classification of Streptomyces venezuelae strains and mining secondary metabolite biosynthetic gene clusters
- Source :
- Lee , N , Choi , M , Kim , W , Hwang , S , Lee , Y , Kim , J H , Kim , G , Kim , H , Cho , S , Kim , S C , Palsson , B , Jang , K S & Cho , B K 2021 , ' Re-classification of Streptomyces venezuelae strains and mining secondary metabolite biosynthetic gene clusters ' , iScience , vol. 24 , no. 12 , 103410 .
- Publication Year :
- 2021
-
Abstract
- Streptomyces species have attracted considerable interest as a reservoir of medically important secondary metabolites, which are even diverse and different between strains. Here, we reassess ten Streptomyces venezuelae strains by presenting the highly resolved classification, using 16S rRNA sequencing, MALDI-TOF MS protein profiling, and whole-genome sequencing. The results revealed that seven of the ten strains were misclassified as S. venezuelae species. Secondary metabolite biosynthetic gene cluster (smBGC) mining and targeted LC-MS/MS based metabolite screening of S. venezuelae and misclassified strains identified in total 59 secondary metabolites production. In addition, a comparison of pyrrolamide-type antibiotic BGCs of four misclassified strains, followed by functional genomics, revealed that athv28 is critical in the synthesis of the anthelvencin precursor, 5-amino-3,4-dihydro-2H-pyrrole-2-carboxylate (ADPC). Our findings illustrate the importance of the accurate classification and better utilization of misclassified Streptomyces strains to discover smBGCs and their secondary metabolite products.
Details
- Database :
- OAIster
- Journal :
- Lee , N , Choi , M , Kim , W , Hwang , S , Lee , Y , Kim , J H , Kim , G , Kim , H , Cho , S , Kim , S C , Palsson , B , Jang , K S & Cho , B K 2021 , ' Re-classification of Streptomyces venezuelae strains and mining secondary metabolite biosynthetic gene clusters ' , iScience , vol. 24 , no. 12 , 103410 .
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1312791556
- Document Type :
- Electronic Resource