Targeting antimalarial metabolites from the actinomycetes associated with the Red Sea sponge Callyspongia siphonella using a metabolomic method

Malaria is a persistent illness that is still a public health issue.

On the other hand, marine organisms are considered a rich source of anti‑infective drugs and other medically significant compounds.

Herein, we reported the isolation of the actinomycete associated with the Red Sea sponge Callyspongia siphonella .

Using "one strain many compounds" (OSMAC) approach, a suitable strain was identified and then sub-cultured in three different media (M1, ISP2 and OLIGO).

The extracts were evaluated for their in-vitro antimalarial activity against Plasmodium falciparum strain and subsequently analyzed by Liquid chromatography coupled with high-resolution mass spectrometry (LC-HR-MS).

In addition, MetaboAnalyst 5.0 was used to statistically analyze the LC-MS data.

Finally, Molecular docking was carried out for the dereplicated metabolites against lysyl-tRNA synthetase (PfKRS1) .

The phylogenetic study of the 16S rRNA sequence of the actinomycete isolate revealed its affiliation to Streptomyces genus.

Antimalarial screening revealed that ISP2 media is the most active against Plasmodium falciparum strain.

Based on LC-HR-MS based metabolomics and multivariate analyses, the static cultures of the media, ISP2 (ISP2-S) and M1 (M1-S) , are the optimal media for metabolites production.

OPLS-DA suggested that quinone derivatives are abundant in the extracts with the highest antimalarial activity.

Fifteen compounds were identified where eight of these metabolites were correlated to the observed antimalarial activity of the active extracts.

According to molecular docking experiments, saframycin Y3 and juglomycin E showed the greatest binding energy scores (-6.2 and -5.13) to lysyl-tRNA synthetase (PfKRS1), respectively.

Using metabolomics and molecular docking investigation, the quinones, saframycin Y3 (5) and juglomycin E (1) were identified as promising antimalarial therapeutic candidates.

Our approach can be used as a first evaluation stage in natural product drug development, facilitating the separation of chosen metabolites, particularly biologically active ones.