Ling-long LUO, Chi ZHANG, Bo DENG, et al. Russian Characteristic Medicinal Plant Resources Based on DNA Barcode Technology[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(2): 175-180.
DOI:
Ling-long LUO, Chi ZHANG, Bo DENG, et al. Russian Characteristic Medicinal Plant Resources Based on DNA Barcode Technology[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(2): 175-180. DOI: 10.13422/j.cnki.syfjx.20200211.
Russian Characteristic Medicinal Plant Resources Based on DNA Barcode Technology
To investigate the distribution status of medicinal plants in the wild areas of Russian Caucasus and Altai
and clarify the types and efficacy information of medicinal plants in the area
so as to dig deep into new resources and new functions of medicinal plants in the countries along the Belt and Road.
Method:
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Medicinal plants in the wild were searched and collected to make waxy specimens
and sent back to the country to extract the total DNA of the leaves of the leaves. Internal Transcribed Spacer(ITS)sequence universal primers were used for Polymerase Chain Reaction (PCR)amplification. The PCR products were sent for the two-way sequencing
and the sequencing results are spliced by software according to National Center for Biotechnology Information(NCBI). The same ITS sequence of the highest similarity species obtained by database BLAST was analyzed by DNAman software to identify the ITS sequence of the species and the ITS sequence of the same species. The MEGA 7 software was used as the phylogenetic tree
and the Kimura-2 parameter genetic distance was used to construct the neighbor joining(NJ) phylogenetic tree by the neighbor-joining method. The confidence of each branch of the development tree was tested by the bootstrap test method. A total of 2 000 cycles were performed
and the results were identified based on the clustering results. On this basis
the key medicinal plants in the Russian Caucasus and Altay wild areas were summarized and analyzed.
Result:
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After BLAST alignment in NCBI database
the ITS sequences of each specimen were clustered with the login sequences on the NCBI database
which were separated from the outer group. The species classification of the specimens to be identified was determined by combining the characteristics of the specimens. A total of 51 plants were identified from the specimens collected in the field
covering 44 genera of 17 families
and 29 plants had clear efficacy records. The National Drug List of the Russian Federation and the Chinese Pharmacopoeia were retrieved to summarize commonly used medicinal plants in China and conclude that 20 kinds of Chinese and Russian common medicinal materials have different medicinal effects in local areas. This study has a reference significance for expanding the scope and clinical experience of traditional Chinese medicines
and provides a basis for strengthened local species conservation
development and utilization of wild medicinal plant resources.
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references
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