Issue |
SHS Web Conf.
Volume 45, 2018
7th International Conference on Local Knowledge (ICLK 2017)
|
|
---|---|---|
Article Number | 05004 | |
Number of page(s) | 4 | |
Section | Healing | |
DOI | https://doi.org/10.1051/shsconf/20184505004 | |
Published online | 12 June 2018 |
Authentication of a selected medicinal plants using DNA barcoding technique
1
School of Biological Sciences, Universiti Sains Malaysia, Pulau Pinang, 11800, Malaysia
2
School of Industrial Technology, Universiti Sains Malaysia, Pulau Pinang, 11800, Malaysia
* Corresponding author: darlinamdn@usm.my
Plants are valuable source of a medicine and have long being used to cure various ailments. However, the efficacy of drugs derived from plant depends on the reliable identification of correct plants. To avoids the usage of incorrect plant that can cause poisoning, a reliable method than morphological characteristic is required. DNA barcoding technique have shown to be an efficient tool for species identification by using a short fragment of the genomic DNA and has been used widely in molecular plant taxonomy for authentication of medicinal plants species. Thus, the goal of this study was to use DNA barcoding technique to discriminate medicinal plants. DNA samples were extracted from twenty medicinal plants, chosen based on their therapeutic efficacy and were used as templates. Internal transcribed spacer (ITS2) gene was selected to be the best molecular marker for identification purposes. The efficiency of the amplification by polymerase chain reaction was sending for sequencing and species identification was performed using MEGA6. Our findings show that DNA barcoding is an efficient tool for plants identification. This study revealed that medicinal plant and their closely related species can be distinguished by using DNA barcoding technique with ITS2 region as it is an efficient marker and potential DNA marker for authentication of selected plants.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.