Issue |
BIO Web Conf.
Volume 60, 2023
2022 4th International Conference on Biotechnology and Food Science (BFS 2022)
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Article Number | 01013 | |
Number of page(s) | 5 | |
Section | Biochemical Application and Genetic Engineering | |
DOI | https://doi.org/10.1051/bioconf/20236001013 | |
Published online | 11 May 2023 |
Phylogenetic Tree of 50 Medicinal Plants in Shandong Province, China
1 Department of Biology, College of Arts and Sciences, Central Mindanao University, Musuan, Bukidnon 8714, Philippines
2 Center for Biodiversity Research and Extension in Mindanao, Central Mindanao University, Musuan, Bukidnon 8714, Philippines
3 Microtechnique and Systematics Laboratory, Natural Science Research Center, Musuan, Bukidnon 8714, Philippines
4 Department of Laboratory Medicine, Zibo Central Hospital, Zibo, Shandong, 255036, China
a email: zhangxuezhong2021phu@gmail.com
b* Corresponding author: f.marklloyd.dapar@cmu.edu.ph
Medicinal plants are a valuable resource for a variety of products which are important for human needs. The fundamental step in the process has always been the characterization of species. This is the reason which connects the phytopharmaceutical sciences with taxonomy and species identification. The DNA-based method of identification has revolutionized this field in taking the taxonomy to the molecular level. 50 medicinal plants were selected. Two nucleotide sequences of each collected plant were selected and 100 nucleotide sequences downloaded from the NCBI database. MEGA11 Software was used to analyze those nucleotide sequences, and then Maximum Likelihood tree was reconstructed to reveal genetic relationship of 50 medicinal plants. The phylogenetic tree showed that majority nucleotide sequences of 50 medicinal plants can be clustered on the same branch with the same plants of their network.
© The Authors, published by EDP Sciences, 2023
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.
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