Identification Of Malaysian Medicinal Plant: Illustration, Dna Barcoding And Metabolite Profiling Of Local Medicinal Plants

Chia, Woon Ling (2022) Identification Of Malaysian Medicinal Plant: Illustration, Dna Barcoding And Metabolite Profiling Of Local Medicinal Plants. Master dissertation/thesis, UTAR.

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Abstract

Medicinal plants are become the mainstream of nature source for modern drugs. Nevertheless, the Malaysia community has not been able to fully utilise the knowledge of local medicinal plants as a vast amount of medicinal plant still remained undiscovered. Besides, previous research mainly focused on certain species or plant with specific medicinal values. Therefore, to contribute the existing knowledge system, it is necessary to back up the local medicinal plants knowledge with scientific information To ensure the success of downstream application of medicinal plants, knowing the plant’s identity and their metabolite contents are important. Current study utilises morphological traits and DNA barcoding in plant identification, and untargeted metabolite profiling to access the metabolite compounds. A total of thirty-five medicinal plant samples were collected from state of Selangor, Negeri Sembilan, and Johor Malaysia with each sample were assigned with a voucher code. Three barcode region of ribulose 1,5- biphosphate carboxylase (rbcL), maturase K (matK), and internal transcribed spacer (ITS) were tested for their suitability as DNA barcoding regions. Untargeted metabolite profiling was performed via liquid chromatography- iii tandem mass spectrometry (LC±MS/MS). Based on morphological traits, all plant samples were identified and verified by a team of taxonomist. Herbarium vouchers of respective plant samples were deposited in Perdana Botanical Garden Kuala Lumpur. Overall, for all the three regions, the identification of genus-level is high, ranging from 74.77-95.45% but the species-level identification is low, ranging from 37.14-46.15%. The result confirmed that single locus is insufficient for DNA barcoding of local medicinal plants. The ‘known unknown’ putative compounds of all 35 local medicinal plants were recorded with putative 160 Phenolic, 95 Terpenes, 70 Nitrogen containing compounds and 81 others putative compounds. This study supplements the 35 local medicinal plants with proper naming, herbarium voucher, and scientific data of DNA barcoding and metabolite profiling that can become the fundamental for future research works especially in pharmaceutical industry.

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