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ORIGINAL ARTICLE |
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Year : 2021 | Volume
: 12
| Issue : 3 | Page : 254-260 |
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Phytochemical screening, antimalarial activities, and genetic relationship of 16 indigenous Thai Asteraceae medicinal plants: A combinatorial approach using phylogeny and ethnobotanical bioprospecting in antimalarial drug discovery
Desy Liana, Kanchana Rungsihirunrat
Department of Public Health Sciences, College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand
Date of Submission | 11-Mar-2021 |
Date of Decision | 22-Mar-2021 |
Date of Acceptance | 26-Apr-2021 |
Date of Web Publication | 16-Jul-2021 |
Correspondence Address: Dr. Kanchana Rungsihirunrat College of Public Health Sciences, Chulalongkorn University, Bangkok 10330 Thailand
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/japtr.JAPTR_238_21
Emergence of artemisinin resistance leads the people to discover the new candidate for antimalarial drug. Combinatorial phylogeny and ethnobotanical approach may be useful to minimize the expenditure and time in laboratory testing. Seven hundred and thirty-three ethnomedicinal plants were listed from literature search. Obtained 340 internal transcribed spacer (ITS) sequences of plant list which met criteria were retrieved from GenBank NCBI and analyzed by MUSCLE and maximum likelihood phylogenetic test to generate the phylogenetic tree. Interactive phylogenetic tree was generated by Interactive Tree of Life (ITOL, https://itol.embl.de) and showed strong clustered pattern on Asteraceae. Afterward, 16 species of Asteraceae were selected to investigate the antimalarial activity, phytochemical, and genetic diversity. The presence of phytochemical was determined by standard method. DNA fluorescence-based assay was performed to determine the antimalarial activity against 3D7 Plasmodium falciparum. IC50 μg/mL was used to categorize antimalarial activity. On the other hand, ITS universal primer was used to amplify and sequence the obtained extracted DNA of tested plant by cetyltrimethylammonium bromide method. Phylogenetic analyses were performed by MAFFT and RAxML with automatic bootstrapping. ITOL and Adobe Illustrator were used to generate interactive phylogenetic tree. All species tested showed the presence of phenolics and flavonoids, whereas alkaloids and terpenoids were shown vary among tested extracts. Among 16 species tested, 1 species exhibited good-moderate (Sphaeranthus indicus, IC50 6.59 μg/mL), 4 weak (Artemisia chinensis, Artemisia vulgaris, Tridax procumbens, and Blumea balsamifera), and 3 very weak (Eupatorium capillifolium, Wedelia trilobata, and Vernonia cinerea). Generated phylogenetic tree by ITS data was able to separate the tested species into their tribal classification. In addition, new medicinal properties of A. chinensis were discovered. Combining phylogeny approach with ethnobotanical data is useful to narrow down the selection of antimalarial plants candidate.
Keywords: Antimalarial, Asteraceae, ethnobotany, genetic relationship, phylogeny, phytochemicals
How to cite this article: Liana D, Rungsihirunrat K. Phytochemical screening, antimalarial activities, and genetic relationship of 16 indigenous Thai Asteraceae medicinal plants: A combinatorial approach using phylogeny and ethnobotanical bioprospecting in antimalarial drug discovery. J Adv Pharm Technol Res 2021;12:254-60 |
How to cite this URL: Liana D, Rungsihirunrat K. Phytochemical screening, antimalarial activities, and genetic relationship of 16 indigenous Thai Asteraceae medicinal plants: A combinatorial approach using phylogeny and ethnobotanical bioprospecting in antimalarial drug discovery. J Adv Pharm Technol Res [serial online] 2021 [cited 2023 Mar 30];12:254-60. Available from: https://www.japtr.org/text.asp?2021/12/3/254/321511 |
Introduction | |  |
Herbal medicine is still being important health-care system, especially in developing countries. This traditional medicine practice is passed down through generation based on the experience started long time before any written records.[1] Numerous drugs including artemisinin, quinine, morphine, aspirin, and many others are derived from traditional uses.[2],[3] Afterward, directed ethnobotanical bioprospecting became vogue to discover new drugs. However, species extinction, loss of traditional medicine knowledge, and limited ethnobotanical databases were encountered by merely using this approach.[2] In addition, patient's conditions, culture, spirit, belief, and communication with ancestors may be involved in the therapy depending on the traditional healer. Consequently, placebo effect may be happened and resulted in less or inactive activity during laboratory testing. In a sum, ethnobotanical-directed bioprospecting can be time-consuming, spend more expenditure, and is struggling to keep the pace with the modern approach.[1],[2],[4],[5]
On the other hand, phylogenetic mapping of numerous cross-cultural ethnomedicinal plants revealed that similar therapeutic activity was found to be concentrated in certain lineage.[5] Various cultures use similar species or plant family to treat similar diseases or symptoms.[3] Combining ethnobotanical bioprospecting data and phylogeny may become new prospective tool to predict the medicinal bioactivity of plants due to the chemical compounds can be gene governed as a necessity of defense mechanism. Hence, similar bioactivity may be shared between related species.[5],[6],[7] Drug-derived natural product also showed to be produced by preexisting prolific drug families.[8] Nevertheless, secondary metabolites synthesis is affected by environmental factors, hence over-simplify of the phylogeny approach prediction result should not be taking done carelessly. Other studies showed that stimulant chemicals were quite scattered in the phylogenetic tree.[9] Hence, prospective chance using this approach still needs to be explored.
Malaria is still a major public health problem which causes 405,000 deaths in 2018.[10] The emergence of currently available drug resistance has caused the effort to find a new drug becoming a critical priority.[11] Internal transcribed spacer (ITS) showed the high authentication which is able to distinguish at genus and species level.[12],[13] This study is the first attempt which aimed to investigate the antimalarial activity, phytochemistry, and genetic relationship-based ITS region of selected indigenous Thai medicinal plants generated by purposive selection from phylogenetic mapping of ethnomedicinal plants used by various cultures around the world for treatment of malaria and its associated symptoms.
Materials and Methods | |  |
Phylogenetic mapping of ethnomedicinal plants
A ethnomedicinal plant list has been obtained through literatures search from Scopus, PubMed, ScienceDirect, and Google Scholar. Data extraction was performed according to Alrashedy and Molina study[9] with some modification: (1) plants used in remedies were excluded and (2) congeneric taxa were presented once to avoid visually bias (e.g., Artemisia afra, Artemisia annua, Artemisia brevifolia, and Artemisia gmelinii were presented as Artemisia spp.).
Obtained ITS sequences from GenBank NCBI were aligned by using MUSCLE followed by maximum likelihood phylogenetic test in Mega-X software (https://www.megasoftware.net/). Creating datasets, annotation and made up the interactive tree were performed in Interactive Tree of Life (ITOL, https://itol.embl.de) and Adobe Illustrator 2020. The result of phylogenetic mapping of ethnomedicinal plants was used as a guide for plant selection for further laboratory testing.
Extraction of selected medicinal plants
Sixteen Thai medicinal plants were collected during November 2019–January 2020 from various geographical areas in Thailand, as shown in [Table 1]. All plant samples were authenticated by a botanist (Dr. Orawan Theanphong) and then compared with the herbarium specimens at Forest Herbarium, Thailand (BKF). Dried powder plant's material was extracted by maceration with ethanol.
Phytochemical screening
The phytochemical screening was performed by standard method to detect the presence of alkaloid (Dragendorff's and Wagner's test), phenolics (ferric chloride), flavonoids (alkaline), triterpenes and steroids (Salkowski), diterpenes (copper acetate), and lactones (Baljet).
In vitro antimalarial activity
DNA fluorescence-based method was performed at Hospital for Tropical Diseases, Faculty of Tropical Medicine, Mahidol University, Thailand. 3D7 Plasmodium falciparum was cultured and maintained at 1%–2% level of parasitemia in RPMI 1640 media-contained erythrocytes supplemented with 4 mM hypoxanthine, 10% Albumax and 1M HEPES (4-(2 hydroxyethyl)-1-piperazineethanesulfonic acid) buffer at 37°C, 5% CO2, and 5% O2. Synchronized parasites were obtained by treating with 5% D-sorbitol.
In vitro assay was performed by using Eppendorf epMotion® 5075. The 96-well plates were dosed with 100, 25, 6.25, 1.5625, and 0.390625 μg/mL of extract. After incubation, 100-μL fluorescence dye was added, followed by 1 h incubation under dark environment. Optical density (OD) was measured at the excitation and emission at 485 and 530 nm, respectively. Artemisinin was used as a positive control. Determination of antimalarial activity was done based on the IC50 (μg/mL) with these following categories: very good (<0.1), good (0.1–1), good-moderate (>1–10), weak (>10–25), very weak (25–50), and inactive (>100).
Phylogenetic analyses of tested plants
Extracted DNA by cetyltrimethylammonium bromide method was amplified using universal ITS primer by polymerase chain reaction with 95°C denaturation, 50°C annealing, and 72°C extension. Polymerase chain reaction products were sequenced at Apical Scientific Sdn Bhd, Selangor, Malaysia. The obtained sequences were aligned with MAFFT followed by RAxML automatic bootstrapping phylogenetic test in CIPRES portal (www.phylo.org). Cannabis sativa was used as an outgroup. Visualization of phylogenetic tree was done using FigTree v. 4.0. ITOL and Adobe Illustrator 2020 were used to create the interactive tree.
Results and Discussion | |  |
Seven hundred and thirty-three plants used in various cultures including Africa (Zimbabwe, Uganda, West Bengal, Nigeria, Congo, Senegal, Ivory Coast, Kenya, Ghana, Madagascar, Limpopo, and Bizana) and Indomalaya (Nepal, Iran, India, Bangladesh, Pakistan, Malaysia, Thailand, and Indonesia) were obtained from literatures, nevertheless only 340 taxa were used for further analysis. Clustered pattern was majorly shown in Asteraceae for both diseases, hence this family was selected for further laboratory testing [Figure 1]. | Figure 1: Phylogenetic mapping of ethnomedicinal plants used for four diseases (malaria, fever, diarrhea, and tuberculosis). Red and blue line colors indicate the therapeutic function for malaria and fever, respectively
Click here to view |
Generated phylogenetic tree by ITS sequence [Figure 2]was able to separate species into their tribal classification. However, several species including Artemisia dracunculus, Bidens pilosa, and Vernonia cinerea showed to be grouped in other clades instead of their own tribal clade based on current classification.[37] A. dracunculus has grouped in the clade of Heliantheae alliance instead of Anthemideae together with other Artemisia species. V. cinerea which is a member of Vernonieae-Cichorioideae has been grouped in Eupatorieae-Asteroideae [Figure 3]. On the other hand, B. pilosa, member of Coreopsideae, has been grouped in Heliantheae. A small number of samples and variation which can occur within species due to nonhomologous copies with the mutation may contribute the generated result.[38],[39] | Figure 2: Amplified internal transcribed spacer of selected Asteraceae medicinal plants
Click here to view |
 | Figure 3: Phylogeny, ethnobotanical uses, phytochemical, and antimalarial activity of 16 Asteraceae medicinal plants
Click here to view |
The four Artemisia were investigated for observing whether these closed-related species with A. annua will show the similar power of bioactivity or not. Our result showed that Artemisia vulgaris and Artemisia chinensis showed a weak antimalarial activity [Table 1] whereas Artemisia lactiflora showed inactive. On the other hand, our finding revealed that the new medicinal property of A. chinensis has been discovered by using the phylogeny approach. The antimalarial activity exhibited from Artemisia species can be caused by artemisinin which may act agonist or antagonist with other compounds and hence may show different powers of action. Artemisia species including A. vulgaris and A. dracunculus were reported to contain artemisinin even though the content was lower compared with A. annua [Table 2].[40]
According to our result, Inuleae and Anthemideae are worth to be investigated. Our study revealed that phylogeny approach is useful to narrow down the selection and hence will be helpful to minimize the expenditure and time in laboratory testing. However, various factors such as uneven number of tested tribe's member, part used, and typical compound in each tribe should be considered before undergoing the evaluation. Secondary metabolites can be gene governed (e.g., terpene synthesis has regulated by 8 TPS gene subfamilies) but known to be versatile caused by coevolution and environmental factor stimuli.[41],[42] For example, antimalarial artemisinin content has shown to be widespread in Artemisia genus, and among 117 investigated Artemisia taxa, four clades have been highlighted due to the occurrence of artemisinin.[43]
Conclusion | |  |
Clustered pattern of medicinal plants used of malaria and its associated symptoms was shown in the phylogenetic tree with the strong clumping pattern in Asteraceae. Among 16 tested Asteraceae plants, Sphaeranthus indicus showed to be the best among others. Antimalarial properties of A. chinensis were discovered by using phylogeny approach.
Acknowledgment
This research was supported by the 90th Anniversary of Chulalongkorn University Scholarship.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
References | |  |
1. | McCreath SB, Delgoda R. Pharmacognosy: Fundamentals, Applications and Strategies. United Kingdom: Academic Press; 2017. |
2. | Buenz EJ, Verpoorte R, Bauer BA. The ethnopharmacologic contribution to bioprospecting natural products. Annu Rev Pharmacol Toxicol 2018;58:509-30. |
3. | Guzman E, Molina J. The predictive utility of the plant phylogeny in identifying sources of cardiovascular drugs. Pharm Biol 2018;56:154-64. |
4. | Sharma V, Sarkar IN. Bioinformatics opportunities for identification and study of medicinal plants. Brief Bioinform 2013;14:238-50. |
5. | Saslis-Lagoudakis CH, Savolainen V, Williamson EM, Forest F, Wagstaff SJ, Baral SR, et al. Phylogenies reveal predictive power of traditional medicine in bioprospecting. Proc Natl Acad Sci U S A 2012;109:15835-40. |
6. | Yessoufou K, Daru BH, Muasya AM. Phylogenetic exploration of commonly used medicinal plants in South Africa. Mol Ecol Resour 2015;15:405-13. |
7. | Mellergaard LM, Adsersen A, Davis AP, Lledo MD, Jager AK, Ronsted N. Using a phylogenetic approach to selection of target plants in drug discovery of acetylcholinesterase inhibiting alkaloids in Amaryllidaceae tribe Galantheae. Biochem Syst Ecol 2010;38:1026-34. |
8. | Zhu F, Qin C, Tao L, Liu X, Shi Z, Ma X, et al. Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting. Proc Natl Acad Sci U S A 2011;108:12943-8. |
9. | Alrashedy NA, Molina J. The ethnobotany of psychoactive plant use: A phylogenetic perspective. PeerJ 2016;4:e2546. |
10. | WHO. World Malaria Report 2019. Geneva: World Health Organization; 2019. |
11. | Ouji M, Augereau JM, Paloque L, Benoit-Vical F. Plasmodium falciparum resistance to artemisinin-based combination therapies: A sword of Damocles in the path toward malaria elimination. Parasite 2018;25:24. |
12. | Zhou J, Wang W, Liu M, Liu Z. Molecular authentication of the traditional medicinal plant Peucedanum praeruptorum and its substitutes and adulterants by DNA – Barcoding technique. Pharmacogn Mag 2014;10:385-90. |
13. | Cheng T, Xu C, Lei L, Li C, Zhang Y, Zhou S. Barcoding the kingdom Plantae: New PCR primers for ITS regions of plants with improved universality and specificity. Mol Ecol Resour 2016;16:138-49. |
14. | Milliken W. Traditional anti-malarial medicine in Roraima, Brazil. Econ Bot 1997;51:212-37. |
15. | Zeb S, Ali A, Zaman W, Zeb S, Ali S, Ullah F, Shakoor A. Pharmacology, taxonomy and phytochemistry of the genus Artemisia specifically from Pakistan: A comprehensive review. Pharm Biomed Res 2018;4:1-12. |
16. | Li DL, Zheng XL, Duan L, Deng SW, Ye W, Wang AH, et al. Ethnobotanical survey of herbal tea plants from the traditional markets in Chaoshan, China. J Ethnopharmacol 2017;205:195-206. |
17. | Obolskiy D, Pischel I, Feistel B, Glotov N, Heinrich M. Artemisia dracunculus L. (tarragon): A critical review of its traditional use, chemical composition, pharmacology, and safety. J Agric Food Chem 2011;59:11367-84. |
18. | Joshi B, Hendrickx S, Magar LB, Parajuli N, Dorny P, Maes L. In vitro antileishmanial and antimalarial activity of selected plants of Nepal. J Intercult Ethnopharmacol 2016;5:383-9. |
19. | Noor Rain A, Khozirah S, Mohd Ridzuan MA, Ong BK, Rohaya C, Rosilawati M, et al. Antiplasmodial properties of some Malaysian medicinal plants. Trop Biomed 2007;24:29-35. |
20. | Duñg NX, Loi DT. Selection of traditional medicines for study. J Ethnopharmacol 1991;32:57-70. |
21. | Bartolome AP, Villaseñor IM, Yang WC. Bidens pilosa L. (Asteraceae): Botanical properties, traditional uses, phytochemistry, and pharmacology. Evid Based Complement Alternat Med 2013;2013:1-51. |
22. | Chea A, Hout S, Long C, Marcourt L, Faure R, Azas N, et al. Antimalarial activity of sesquiterpene lactones from Vernonia cinerea. Chem Pharm Bull (Tokyo) 2006;54:1437-9. |
23. | Guha G, Rajkumar V, Ashok Kumar R, Mathew L. Therapeutic potential of polar and non-polar extracts of Cyanthillium cinereum in vitro. Evid Based Complement Alternat Med 2011;2011:1-10. |
24. | Dogra NK, Kumar S. A review on ethno-medicinal uses and pharmacology of Vernonia cinerea Less. Nat Prod Res 2015;29:1102-17. |
25. | Tabanca N, Bernier UR, Tsikolia M, Becnel JJ, Sampson B, Werle C, et al. Eupatorium capillifolium essential oil: Chemical composition, antifungal activity, and insecticidal activity. Nat Prod Commun 2010;5:1409-15. |
26. | Fasola TR, Iyamah PC. Comparing the phytochemical composition of some plant parts commonly used in the treatment of malaria. Int J Pure Appl Sci Technol 2014;21:1. |
27. | Ezenyi IC, Salawu OA, Kulkarni R, Emeje M. Antiplasmodial activity-aided isolation and identification of quercetin-4'-methyl ether in Chromolaena odorata leaf fraction with high activity against chloroquine-resistant Plasmodium falciparum. Parasitol Res 2014;113:4415-22. |
28. | Xu BQ, Zhang YQ. Bioactive components of Gynura divaricata and its potential use in health, food and medicine: A mini-review. Afr J Tradit Complement Altern Med 2017;14:113-27. |
29. | Siriwatanametanon N, Heinrich M. The Thai medicinal plant Gynura pseudochina var. hispida: Chemical composition and in vitro NF-kappaB inhibitory activity. Nat Prod Commun 2011;6:627-30. |
30. | Moektiwardoyo WM, Tjitrareami A, Susilawati Y, Iskandar Y, Halimah E, Zahryanti D. The potential of dewa leaves (Gynura pseudochina (L) D.C) and temu ireng rhizomes (Curcuma aeruginosa Roxb.) as medicinal herbs for dengue fever treatment. Procedia Chem 2014;13:134-41. |
31. | Appiah-Opong R, Nyarko AK, Dodoo D, Gyang FN, Koram KA, Ayisi NK. Antiplasmodial activity of extracts of Tridax procumbens and Phyllanthus amarus in in vitro Plasmodium falciparum culture systems. Ghana Med J 2011;45:143-50. |
32. | Cáceres A, López B, González S, Berger I, Tada I, Maki J. Plants used in Guatemala for the treatment of protozoal infections. I. Screening of activity to bacteria, fungi and American trypanosomes of 13 native plants. J Ethnopharmacol 1998;62:195-202. |
33. | Upadhyay B, Parveen, Dhaker AK, Kumar A. Ethnomedicinal and ethnopharmaco-statistical studies of Eastern Rajasthan, India. J Ethnopharmacol 2010; 129: 64-86. |
34. | Galani VJ, Patel BG, Rana DG. Sphaeranthus indicus Linn: A phytopharmacological review. Int J Ayurveda Res 2010;1:247-53.  [ PUBMED] [Full text] |
35. | Hui Y, Cao J, Lin J, Yang JN, Liu YJ, Han CR, et al. Eudesmanolides and other constituents from the flowers of Wedelia trilobata. Chem Biodivers 2018;15:e1700411. |
36. | Spelman K, Depoix D, McCray M, Mouray E, Grellier P. The traditional medicine Spilanthes acmella, and the alkylamides spilanthol and undeca-2E-ene-8,10-diynoic acid isobutylamide, demonstrate in vitro and in vivo antimalarial activity. Phytother Res 2011;25:1098-101. |
37. | Funk VA, Susanna A, Stuessy T, Robinson HE. Classification of compositae.In: Systematics, evolution, biogeography of Compositae, International Association for Plant Taxonomy, Institute of Botany, University of Vienna, Austria: 2009:171-189. |
38. | Manissorn J. Molecular analysis of Phyllanthus spp. In: Thailand based on RAPD and DNA Sequencing, in Pharmacognosy and Pharmaceutical Botany. Chulalongkorn University: Faculty of Pharmaceutical Sciences; 2010. |
39. | Goertzen LR, Cannone JJ, Gutell RR, Jansen RK. ITS secondary structure derived from comparative analysis: Implications for sequence alignment and phylogeny of the Asteraceae. Mol Phylogenet Evol 2003;29:216-34. |
40. | Numonov S, Sharopov F, Salimov A, Sukhrobov P, Atolikshoeva S, Safarzoda R, et al. Assessment of artemisinin contents in selected Artemisia species from ajikistan (Central Asia). Medicines (Basel) 2019;6:23. |
41. | Mawalagedera SM, Callahan DL, Gaskett A, Ronsted N, Symonds MRE. Combining evolutionary inference and metabolomics to identify plants with medicinal potential. Front Ecol Evol 2019;7:1-11. |
42. | Keilwagen J, Lehnert H, Berner T, Budahn H, Nothnagel T, Ulrich D, et al. The terpene synthase gene family of carrot Daucus carota: Identification of QTLs and candidate genes associated with terpenoid volatile compounds. Front Plant Sci 2017;8:1930. |
43. | Pellicer J, Saslis-Lagoudakis CH, Carrió E, Ernst M, Garnatje T, Grace OM, et al. A phylogenetic road map to antimalarial Artemisia species. J Ethnopharmacol 2018;225:1-9. |
[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2]
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