Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential
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 cu...
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PeerJ Inc.
2021-03-01
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author | Siti Junaidah Ahmad Noraziah Mohamad Zin Noor Wini Mazlan Syarul Nataqain Baharum Mohd Shukri Baba Yee Ling Lau |
author_facet | Siti Junaidah Ahmad Noraziah Mohamad Zin Noor Wini Mazlan Syarul Nataqain Baharum Mohd Shukri Baba Yee Ling Lau |
author_sort | Siti Junaidah Ahmad |
collection | DOAJ |
description | 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. |
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spelling | doaj.art-ce1d83aca0da4cae91f171bdfbcbfb5c2023-12-03T10:22:22ZengPeerJ Inc.PeerJ2167-83592021-03-019e1081610.7717/peerj.10816Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potentialSiti Junaidah Ahmad0Noraziah Mohamad Zin1Noor Wini Mazlan2Syarul Nataqain Baharum3Mohd Shukri Baba4Yee Ling Lau5Faculty of Health Sciences, University of Sultan Zainal Abidin, Kuala Nerus, Terengganu, MalaysiaCenter for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, , Kuala Lumpur, MalaysiaAnalytical and Environmental Chemistry, Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, MalaysiaInstitute of Systems Biology, Universiti Kebangsaan Malaysia, Bangi, Selangor, MalaysiaDepartment of Biomedical Science, Kulliyyah of Allied Health Sciences, International Islamic University, Kuantan, Pahang, MalaysiaDepartment of Parasitology, Faculty of Medicine, Universiti Malaya, , Kuala Lumpur, MalaysiaBackground 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.https://peerj.com/articles/10816.pdfStreptomycesAnti-plasmodialPlasmodium falciparumMetabolomicsMultivariate analysis |
spellingShingle | Siti Junaidah Ahmad Noraziah Mohamad Zin Noor Wini Mazlan Syarul Nataqain Baharum Mohd Shukri Baba Yee Ling Lau Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential PeerJ Streptomyces Anti-plasmodial Plasmodium falciparum Metabolomics Multivariate analysis |
title | Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential |
title_full | Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential |
title_fullStr | Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential |
title_full_unstemmed | Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential |
title_short | Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential |
title_sort | metabolite profiling of endophytic streptomyces spp and its antiplasmodial potential |
topic | Streptomyces Anti-plasmodial Plasmodium falciparum Metabolomics Multivariate analysis |
url | https://peerj.com/articles/10816.pdf |
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