4.6 Article

Exploring the Chemical Space of Macro- and Micro-Algae Using Comparative Metabolomics

期刊

MICROORGANISMS
卷 9, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/microorganisms9020311

关键词

microalgae; comparative metabolomics; biotechnology; bioactivity; mass spectrometry; microalgal metabolites

资金

  1. European Union Seventh Framework Program [311932]
  2. Industrial Biotechnology Innovation Centre (IBioIC)
  3. BBSRC NIBB PHYCONET Proof of Concept grant [PHYCPoC-32]

向作者/读者索取更多资源

Eukaryotic algae, including macro- and micro-algae, are rich in biological diversity but their chemical diversity remains largely unexplored. Seaweeds and microalgae exhibit promising biological activities with specialized metabolites, but the distinction of chemical profiles between the two and the chemical space their metabolites cover are still unclear. Comparative metabolomics analysis suggests that environmental factors may play a larger role than phylogeny in classifying metabolomic profiles of microalgae.
With more than 156,000 described species, eukaryotic algae (both macro- and micro-algae) are a rich source of biological diversity, however their chemical diversity remains largely unexplored. Specialised metabolites with promising biological activities have been widely reported for seaweeds, and more recently extracts from microalgae have exhibited activity in anticancer, antimicrobial, and antioxidant screens. However, we are still missing critical information on the distinction of chemical profiles between macro- and microalgae, as well as the chemical space these metabolites cover. This study has used an untargeted comparative metabolomics approach to explore the chemical diversity of seven seaweeds and 36 microalgal strains. A total of 1390 liquid chromatography-mass spectrometry (LC-MS) features were detected, representing small organic algal metabolites, with no overlap between the seaweeds and microalgae. An in-depth analysis of four Dunaliella tertiolecta strains shows that environmental factors may play a larger role than phylogeny when classifying their metabolomic profiles.

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