Metabolite profiling of endophytic Streptomyces spp. and its antiplasmodial potential

被引:5
|
作者
Ahmad, Siti Junaidah [1 ,2 ]
Zin, Noraziah Mohamad [2 ]
Mazlan, Noor Wini [3 ]
Baharum, Syarul Nataqain [4 ]
Baba, Mohd Shukri [5 ]
Lau, Yee Ling [6 ]
机构
[1] Univ Sultan Zainal Abidin, Fac Hlth Sci, Terengganu, Malaysia
[2] Univ Kebangsaan Malaysia, Fac Hlth Sci, Ctr Diagnost Therapeut & Invest Studies, Kuala Lumpur, Malaysia
[3] Univ Malaysia Terengganu, Fac Sci & Marine Environm, Analyt & Environm Chem, Terengganu, Malaysia
[4] Univ Kebangsaan Malaysia, Inst Syst Biol, Bangi, Selangor, Malaysia
[5] Int Islamic Univ, Dept Biomed Sci, Kulliyyah Allied Hlth Sci, Kuantan, Pahang, Malaysia
[6] Univ Malaya, Fac Med, Dept Parasitol, Kuala Lumpur, Malaysia
来源
PEERJ | 2021年 / 9卷
关键词
Streptomyces; Anti-plasmodial; Plasmodium falciparum; Metabolomics; Multivariate analysis; METABOLOMICS DATA; COELICOLOR A3(2); ANTIBIOTICS; MALARIA; TRIOXACARCINS; DISCOVERY; GANCIDIN; CINCHONA; DATABASE; BLAST;
D O I
10.7717/peerj.10816
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:17
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