Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential.

Autor: Ahmad SJ; Faculty of Health Sciences, University of Sultan Zainal Abidin, Kuala Nerus, Terengganu, Malaysia.; Center for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Mohamad Zin N; Center for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Mazlan NW; Analytical and Environmental Chemistry, Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia., Baharum SN; Institute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia., Baba MS; Department of Biomedical Science, Kulliyyah of Allied Health Sciences, International Islamic University, Kuantan, Pahang, Malaysia., Lau YL; Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Jazyk: angličtina
Zdroj: PeerJ [PeerJ] 2021 Mar 15; Vol. 9, pp. e10816. Date of Electronic Publication: 2021 Mar 15 (Print Publication: 2021).
DOI: 10.7717/peerj.10816
Abstrakt: Background: Antiplasmodial drug discovery is significant especially from natural sources such as plant bacteria. This research aimed to determine antiplasmodial metabolites of Streptomyces spp. against Plasmodium falciparum 3D7 by using a metabolomics approach.
Methods: Streptomyces strains' growth curves, namely SUK 12 and SUK 48, were measured and P . falciparum 3D7 IC 50 values were calculated. Metabolomics analysis was conducted on both strains' mid-exponential and stationary phase extracts.
Results: The most successful antiplasmodial activity of SUK 12 and SUK 48 extracts shown to be at the stationary phase with IC 50 values of 0.8168 ng/mL and 0.1963 ng/mL, respectively. In contrast, the IC 50 value of chloroquine diphosphate (CQ) for antiplasmodial activity was 0.2812 ng/mL. The univariate analysis revealed that 854 metabolites and 14, 44 and three metabolites showed significant differences in terms of strain, fermentation phase, and their interactions. Orthogonal partial least square-discriminant analysis and S-loading plot putatively identified pavettine, aurantioclavine, and 4-butyldiphenylmethane as significant outliers from the stationary phase of SUK 48. For potential isolation, metabolomics approach may be used as a preliminary approach to rapidly track and identify the presence of antimalarial metabolites before any isolation and purification can be done.
Competing Interests: The authors declare that they have no competing interests.
(© 2021 Ahmad et al.)
Databáze: MEDLINE
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