Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential

Ahmad, Siti Junaidah and Zin, Noraziah Mohamad and Mazlan, Noor Wini and Baharum, Syarul Nataqain and Baba, Mohd Shukri and Lau, Yee Ling (2021) Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential. PeerJ, 9. ISSN 2167-8359, DOI https://doi.org/10.7717/peerj.10816.

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Abstract

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 IC50 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 IC50 values of 0.8168 ng/mL and 0.1963 ng/mL, respectively. In contrast, the IC50 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.

Item Type: Article
Funders: Science and Technology Development Fund (STDF) Ministry of Higher Education & Scientific Research (MHESR) [FRGS/1/2016/STG05/UKM/02/5]
Uncontrolled Keywords: Streptomyces; Anti-plasmodial; Plasmodium falciparum; Metabolomics; Multivariate analysis
Subjects: R Medicine > R Medicine (General)
R Medicine > RB Pathology
Divisions: Faculty of Medicine > Pathology Department
Depositing User: Ms Zaharah Ramly
Date Deposited: 08 Aug 2022 06:09
Last Modified: 08 Aug 2022 06:09
URI: http://eprints.um.edu.my/id/eprint/28430

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