LC-Based Metabolomics and Multivariate Analyses Reveal Metabolite Variations in Different Propagation Methods of Eurycoma longifolia Roots Harvested at Different Ages and Locations
Alias, N. N.; Azizan, K. A.; Basherudin, N.; Hassan, N. H.; Abdullah, N.
Show abstract
Eurycoma longifolia is a well-known medicinal plant with pharmacological effects and important bioactive compounds such as alkaloids and quassinoids. The suitable age of harvesting E. longifolia root for commercial use is relatively unknown and could influence the overall bioactive compounds present in the plant. In this study, non-targeted liquid chromatography mass spectrometer (LC-MS) and multivariate analyses (MVA) were performed to determine the chemical constituent of aqueous extract of 3-month-old E. longifolia hairy root (HR) culture, 1-, 4- and 11-year-old harvested E. longifolia roots. Unsupervised principle component analysis (PCA) and supervised partial least square discriminant analysis (PLSDA) were applied to evaluate metabolic similarities and differences in E. longifolia roots and hairy root in response to different harvesting age, locations and propagation methods. A total of 34 significant buckets with variable importance in projection (VIP) exceeding 1 were selected and identified. It was found that putatively identified quassinoids were significantly higher in 1-, 4- and 11-year-old E. longifolia roots whereas putative canthin-6-one alkaloids were abundantly present in 3-month-old E. longifolia hairy root (HR). These findings may be applicable to improve the harvesting age and increase the content of bioactive compounds in E. longifolia roots.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Effect of pulsed light on postharvest disease control-related metabolomic variation in melon (Cucumis melo) artificially inoculated with Fusarium pallidoroseum 98%
- Combinatorial effects of Zingiber officinale and Citrus limon juices: Hypolipidemic and antioxidant insights from in vivo, in vitro, and in silico investigations 97%
- Biochemical profile and bioactive potential of wild folk medicinal plants of Zygophyllaceae from Balochistan, Pakistan. 96%
Similar papers in this journal
- Role of nitric oxide in improving seed germination and alleviation of copper-induced photosynthetic inhibition in Indian mustard 96%
- Screening antifungal activity of macroalgae from SE Spain highlights the invader Rugulopteryx okamurae 95%
- Individual and concurrent effects of drought and chilling stresses on morpho-physiological characteristics and oxidative metabolism of maize cultivars 95%
Similar papers in this journal
- In vitro screening of anti-viral and virucidal effects against SARS-CoV-2 by Hypericum perforatum and Echinacea. 96%
- A new strategy for identifying mechanisms of drug-drug interaction using transcriptome analysis: Compound Kushen injection as a proof of principle 95%
- Identification of multi-targeting and synergistic neuromodulators of epilepsy associated protein-targets in Ayurvedic herbs using network pharmacological approach 94%
Similar papers in this journal
- A small H2O-soluble ingredient of royal jelly lower cholesterol levels in liver cells by suppressing squalene epoxidase 95%
- In silico Identification and Functional Characterization of Conserved miRNAs in Fibre Biogenesis Crop Corchorus capsularis 94%
- Heavy Metals Induced Health Risk Assessment Through Consumption of Selected Commercially Available Spices in Noakhali District of Bangladesh 94%
Similar papers in this journal
- Evaluating the potential of marine invertebrate and insect protein hydrolysates to reduce fetal bovine serum in cell culture media for cultivated fish production 93%
- You-Gui-Wan ameliorates house dust mite-induced allergic asthma via modulating amino acid metabolic disorder and gut dysbiosis 92%
- O-methylated N-glycans Distinguish Mosses from Vascular Plants 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.