Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential

• Main Authors: Ahmad, Siti Junaidah, Mohamad Zin, Noraziah, Mazlan, Noor Wini, Baharum, Syarul Nataqain, Baba, Mohd Shukri, Lau, Yee Ling
• Format: Article
• Language: English; English
• Published: PeerJ 2021
• Subjects: QR Microbiology
• Online Access: http://irep.iium.edu.my/89123/7/89123_Metabolite%20profiling%20of%20endophytic%20Streptomyces%20spp.%20and%20its%20antiplasmodial%20potential_SCOPUS.pdf; http://irep.iium.edu.my/89123/13/89123_Metabolite%20profiling%20of%20endophytic%20Streptomyces%20spp.%20and%20its%20antiplasmodial%20potential.pdf; http://irep.iium.edu.my/89123/; https://peerj.com/articles/10816/; https://doi.org/10.7717/peerj.10816
• Institution: Universiti Islam Antarabangsa Malaysia

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.