| Literature DB >> 33418911 |
Tiago Leão1,2, Mingxun Wang2, Nathan Moss1, Ricardo da Silva2,3, Jon Sanders4,5,6, Sergey Nurk7, Alexey Gurevich7, Gregory Humphrey4,5, Raphael Reher1, Qiyun Zhu4,5,8, Pedro Belda-Ferre4,5, Evgenia Glukhov1, Syrena Whitner1,9, Kelsey L Alexander1,10, Robert Rex1, Pavel Pevzner11, Pieter C Dorrestein1,2,5, Rob Knight4,5,12, Nuno Bandeira2,11, William H Gerwick1,2, Lena Gerwick1.
Abstract
Microbial natural products are important for the understanding of microbial interactions, chemical defense and communication, and have also served as an inspirational source for numerous pharmaceutical drugs. Tropical marine cyanobacteria have been highlighted as a great source of new natural products, however, few reports have appeared wherein a multi-omics approach has been used to study their natural products potential (i.e., reports are often focused on an individual natural product and its biosynthesis). This study focuses on describing the natural product genetic potential as well as the expressed natural product molecules in benthic tropical cyanobacteria. We collected from several sites around the world and sequenced the genomes of 24 tropical filamentous marine cyanobacteria. The informatics program antiSMASH was used to annotate the major classes of gene clusters. BiG-SCAPE phylum-wide analysis revealed the most promising strains for natural product discovery among these cyanobacteria. LCMS/MS-based metabolomics highlighted the most abundant molecules and molecular classes among 10 of these marine cyanobacterial samples. We observed that despite many genes encoding for peptidic natural products, peptides were not as abundant as lipids and lipopeptides in the chemical extracts. Our results highlight a number of highly interesting biosynthetic gene clusters for genome mining among these cyanobacterial samples.Entities:
Keywords: biosynthetic potential; genomics; marine cyanobacteria; metabolomics; natural products
Year: 2021 PMID: 33418911 PMCID: PMC7825088 DOI: 10.3390/md19010020
Source DB: PubMed Journal: Mar Drugs ISSN: 1660-3397 Impact factor: 5.118