4.7 Article

A Multi-Omics Characterization of the Natural Product Potential of Tropical Filamentous Marine Cyanobacteria

期刊

MARINE DRUGS
卷 19, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/md19010020

关键词

genomics; metabolomics; marine cyanobacteria; natural products; biosynthetic potential

资金

  1. National Institutes of Health (NIH) [GM107550, GM118815]
  2. CAPES Foundation [13425-13-7]
  3. NIH [T32 GM067550]
  4. Russian Science Foundation [19-16-00049]
  5. Center for Microbiome Innovation at University of California San Diego
  6. Sao Paulo Research Foundation [FAPESP 2017/189222, 2019/05026-4]

向作者/读者索取更多资源

This study focuses on describing the natural product genetic potential and expressed natural product molecules in benthic tropical cyanobacteria, utilizing a multi-omics approach. Results indicate that despite the presence of genes encoding for peptidic natural products, peptides are not as abundant as lipids and lipopeptides in the chemical extracts. The study highlights promising biosynthetic gene clusters for genome mining among these cyanobacterial samples.
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.

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