| Literature DB >> 34201365 |
Dini Hu1,2, Simon Ming-Yuen Lee3, Kai Li1, Kai Meng Mok2.
Abstract
Mangroves are intertidal extreme environments with rich microbial communities. Actinobacteria are well known for producing antibiotics. The search for biosynthetic potential of Actinobacteria from mangrove environments could provide more possibilities for useful secondary metabolites. In this study, whole genome sequencing and MS/MS analysis were used to explore the secondary metabolite production potential of one actinobacterial strain of Streptomyces olivaceus sp., isolated from a mangrove in Macau, China. The results showed that a total of 105 gene clusters were found in the genome of S. olivaceus sp., and 53 known secondary metabolites, including bioactive compounds, peptides, and other products, were predicted by genome mining. There were 28 secondary metabolites classified as antibiotics, which were not previously known from S. olivaceus. ISP medium 2 was then used to ferment the S. olivaceus sp. to determine which predicted secondary metabolite could be truly produced. The chemical analysis revealed that ectoine, melanin, and the antibiotic of validamycin A could be observed in the fermentation broth. This was the first observation that these three compounds can be produced by a strain of S. olivaceus. Therefore, it can be concluded that Actinobacteria isolated from the mangrove environment have unknown potential to produce bioactive secondary metabolites.Entities:
Keywords: Actinobacteria; Streptomyces; mangroves; mass spectrometry; validamycin; whole genome sequencing
Mesh:
Year: 2021 PMID: 34201365 PMCID: PMC8228178 DOI: 10.3390/md19060332
Source DB: PubMed Journal: Mar Drugs ISSN: 1660-3397 Impact factor: 5.118
Figure 1Distribution of KEGG pathways in the S. olivaceus sp. genome. The distribution of the predicted functional classification proteins was assigned by comparison with the KEGG database. Figure displays the five top KEGG Orthology (KO) categories of the assigned sequences, including organismal systems (orange), metabolism (blue), human diseases (purple), genetic information processing (yellow), environmental information processing (green), and cellular process (red).