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

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.

[1]  ping wang,et al.  LIPG: an inflammation and cancer modulator , 2020, Cancer Gene Therapy.

[2]  E. Leal,et al.  Protein tyrosine phosphatase 1B inhibition as a potential therapeutic target for chronic wounds in diabetes. , 2020, Pharmacological research.

[3]  W. Gerwick,et al.  Palstimolide A: A Complex Polyhydroxy Macrolide with Antiparasitic Activity , 2020, Molecules.

[4]  Brian M. Suzuki,et al.  Tutuilamides A-C: Vinyl-Chloride Containing Cyclodepsipeptides from Marine Cyanobacteria with Potent Elastase Inhibitory Properties. , 2020, ACS chemical biology.

[5]  H. H. Mao,et al.  Pagoamide A, a Cyclic Depsipeptide Isolated from a Cultured Marine Chlorophyte, Derbesia sp., Using MS/MS-Based Molecular Networking. , 2020, Journal of natural products.

[6]  David S. Wishart,et al.  Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis , 2019, Current protocols in bioinformatics.

[7]  G. Zengin,et al.  Bioactive compounds in seaweeds: An overview of their biological properties and safety. , 2019, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[8]  Simon Rogers,et al.  Feature-Based Molecular Networking in the GNPS Analysis Environment , 2019, Nature Methods.

[9]  Gokare A. Ravishankar,et al.  Industrial potential of carotenoid pigments from microalgae: Current trends and future prospects , 2019, Critical reviews in food science and nutrition.

[10]  D. Pinto,et al.  Seaweed Secondary Metabolites In Vitro and In Vivo Anticancer Activity , 2018, Marine drugs.

[11]  S. Holdt,et al.  The global status of seaweed production, trade and utilization , 2018 .

[12]  D. Ray,et al.  Molecular Actions of PPARα in Lipid Metabolism and Inflammation. , 2018, Endocrine reviews.

[13]  Stefano Romano,et al.  Extending the “One Strain Many Compounds” (OSMAC) Principle to Marine Microorganisms , 2018, Marine drugs.

[14]  L. Harvey,et al.  SeaBioTech: From Seabed to Test-Bed: Harvesting the Potential of Marine Biodiversity for Industrial Biotechnology , 2018 .

[15]  Mingxun Wang,et al.  Bioactivity-Based Molecular Networking for the Discovery of Drug Leads in Natural Product Bioassay-Guided Fractionation. , 2018, Journal of natural products.

[16]  G. Fleming,et al.  Rapid chemotaxonomic profiling for the identification of high-value carotenoids in microalgae , 2018, Journal of Applied Phycology.

[17]  Joe Wandy,et al.  Ms2lda.org: web-based topic modelling for substructure discovery in mass spectrometry , 2017, Bioinform..

[18]  Simon Barnabé,et al.  Microalgae biomass production for a biorefinery system: Recent advances and the way towards sustainability , 2017 .

[19]  J. García,et al.  Microalgae, old sustainable food and fashion nutraceuticals , 2017, Microbial biotechnology.

[20]  F. Kraemer,et al.  PPARs: regulators of metabolism and as therapeutic targets in cardiovascular disease. Part I: PPAR-α. , 2017, Future cardiology.

[21]  Nuno Bandeira,et al.  Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae , 2017, eLife.

[22]  F. Alam,et al.  Some Promising Microalgal Species for Commercial Applications: A review , 2017 .

[23]  J. Casida,et al.  Lipases and their inhibitors in health and disease. , 2016, Chemico-biological interactions.

[24]  Kristian Fog Nielsen,et al.  Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking , 2016, Nature Biotechnology.

[25]  F. Esposito,et al.  Bioactivity Screening of Microalgae for Antioxidant, Anti-Inflammatory, Anticancer, Anti-Diabetes, and Antibacterial Activities , 2016, Front. Mar. Sci..

[26]  Sudhir Kumar,et al.  MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. , 2016, Molecular biology and evolution.

[27]  P. Groundwater,et al.  Identification of dual PPARα/γ agonists and their effects on lipid metabolism. , 2015, Bioorganic & medicinal chemistry.

[28]  F. Remacle,et al.  Metabolomic analysis of the green microalga Chlamydomonas reinhardtii cultivated under day/night conditions. , 2015, Journal of biotechnology.

[29]  J. Costa,et al.  Biologically Active Metabolites Synthesized by Microalgae , 2015, BioMed research international.

[30]  J. H. Andersen,et al.  Light and temperature effects on bioactivity in diatoms , 2015, Journal of Applied Phycology.

[31]  Zixin Deng,et al.  Operon for Biosynthesis of Lipstatin, the Beta-Lactone Inhibitor of Human Pancreatic Lipase , 2014, Applied and Environmental Microbiology.

[32]  K. Kang,et al.  Sargahydroquinoic acid inhibits TNFα-induced AP-1 and NF-κB signaling in HaCaT cells through PPARα activation. , 2014, Biochemical and biophysical research communications.

[33]  J. Gómez-Ariza,et al.  Metal-metabolomics of microalga Chlorella sorokiniana growing in selenium- and iodine-enriched media , 2012, Chemical Papers.

[34]  D. Roelke,et al.  The ecophysiology and bloom dynamics of Prymnesium spp. , 2012 .

[35]  Kristian Hovde Liland,et al.  Multivariate methods in metabolomics – from pre-processing to dimension reduction and statistical analysis , 2011 .

[36]  Matej Oresic,et al.  MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data , 2010, BMC Bioinformatics.

[37]  B. Que,et al.  Role of endothelial lipase in atherosclerosis. , 2010, Translational research : the journal of laboratory and clinical medicine.

[38]  Robert Burke,et al.  ProteoWizard: open source software for rapid proteomics tools development , 2008, Bioinform..

[39]  Richard C. Thompson,et al.  Epibiont species richness varies between holdfasts of a northern and a southerly distributed kelp species , 2008, Journal of the Marine Biological Association of the United Kingdom.

[40]  M. Calvo,et al.  Influence of extraction with ethanol or ethyl acetate on the yield of lycopene, β-carotene, phytoene and phytofluene from tomato peel powder , 2007 .

[41]  P. Keeling,et al.  Diversity and evolutionary history of plastids and their hosts. , 2004, American journal of botany.

[42]  Robert C. Edgar,et al.  MUSCLE: multiple sequence alignment with high accuracy and high throughput. , 2004, Nucleic acids research.

[43]  M. Melkonian,et al.  Phylogeny and taxonomic revision of plastid-containing euglenophytes based on SSU rDNA sequence comparisons and synapomorphic signatures in the SSU rRNA secondary structure. , 2003, Protist.

[44]  A. Coleman,et al.  MOLECULAR DELINEATION OF SPECIES AND SYNGENS IN VOLVOCACEAN GREEN ALGAE (CHLOROPHYTA) 1 , 1994 .

[45]  M. Nei,et al.  Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. , 1993, Molecular biology and evolution.

[46]  P. Kroth,et al.  Production of chemicals from microalgae lipids – status and perspectives , 2018 .

[47]  D. Faulkner Marine natural products. , 2000, Natural product reports.