Molecular networking prospection and characterization of terpenoids and C-acetogenins in Brazilian seaweed extracts.

Molecular networking (MN) can efficiently dereplicate extracts and pure compounds. Red algae of the genus are rich in halogenated secondary metabolites, mainly sesquiterpenes and C-acetogenins. Brown algae of the genus produce mainly C-hydrocarbons, sesquiterpenes and sulfur-containing compounds, while and are reported to contain mainly diterpenes. This study performs an exploratory MN analysis of 14 extracts from algae collected in Brazil (including the oceanic islands) and characterizes the secondary metabolites from the analyzed species. The extracts and some isolated metabolites were analyzed by LC-MS using the FastDDA algorithm, and the MS/MS spectra were submitted to GNPS and displayed in Cytoscape 3.5.1. The GNPS platform generated 68 individual nodes and nine family networks. The MN exploratory analysis indicated chemical differences among species, and also in sampling sites for the same species. For some extracts, it was possible to identify mass values that could correspond to terpenoids and C-acetogenins that have already been isolated from those or related species. An interesting chemodiversity was highlighted between from two nearby islands, and this was revealed and was also suggested by the family networks. Many nodes in the MN could not be characterized, and these metabolites can be used as targets for isolation in future works.