• Title/Summary/Keyword: Asteraceae(Compositae)

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A Comparative Analysis of Korean and Chinese Medicinal Plant Resources and Traditional Knowledge Using Data Analysis (데이터 분석기법을 이용한 한국과 중국의 약용식물자원과 전통지식 정보 비교분석)

  • Na, Minho;Hong, Seong-Eun;Kim, Ki-Yoon;Cheong, Eun Ju
    • Journal of Korean Society of Forest Science
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    • v.107 no.4
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    • pp.456-477
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    • 2018
  • We analyzed the data on medicinal plants and related traditional knowledge in Korea and China using data analysis method. There are 108 families 214 genera 542 species, and 202 families 660 genera 1,261 species were found in Korea and China respectively. Total of 86 families (79.6%) and 130 genera (60.7%) were in common both countries. More than one information were recorded in many species, however, there was only one information from some species (32.7% of genera in Korea, and 58.8% of genera in China). The most frequent appeared plant family was Compositae (Asteraceae) in both countries (8.4% in Korea and 10.7% in China) and followed by Rosecease and Leguminocae (Fabaceae). Plant parts were classified 11 parts and roots were mostly used in Korea and whole plants in China. Usages were described in different terms of ailments or symptoms. There are 120 usage in Korea and 230 in China. Plant uses for the ailment or symptoms are pain, digestive system disorder, cold and etc. in Korea. In China, plants were mostly used for clear heat, digestive system disorder, cough and etc. Relation between the plant and ailment(symptom) of the top 10 plants in Korea and China was different although from same plant family. We also analyzed the relations between plant species and part used, and plants parts and ailment(symptom). With the data analysis method, we were able to collect the medicinal plant resources data and found the differences in plant resources, usage, and plant part for use. The result provide important information of the plant resources and related traditional knowledge of Korea for use of plant resources in industry and facilitate to plan a strategy to cope with Nagoya Protocol in the future.

Distribution and Frequency of SSR Motifs in the Chrysanthemum SSR-enriched Library through 454 Pyrosequencing Technology (국화 SSR-enriched library에서 SSR 반복염기의 분포 및 빈도)

  • Moe, Kyaw Thu;Ra, Sang-Bog;Lee, Gi-An;Lee, Myung-Chul;Park, Ha-Seung;Kim, Dong-Chan;Lee, Cheol-Hwi;Choi, Hyun-Gu;Jeon, Nak-Beom;Choi, Byung-Jun;Jung, Ji-Youn;Lee, Kyu-Min;Park, Yong-Jin
    • Journal of the Korean Society of International Agriculture
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    • v.23 no.5
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    • pp.546-551
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    • 2011
  • Chrysanthemums, often called mums or chrysanths, belong to the genus Chrysanthemum, which includes about 30 species of perennial flowering plants in the family Asteraceae. We extracted DNA from Dendranthema grandiflorum ('Smileball') to construct a simple sequence repeat (SSR)-enriched library, using a modified biotin-streptavidin capture method. GS FLX (Genome Sequencer FLX System which provides the flexibility to perform the broad range of applications) sequencing (at the 1/8 run specification) resulted in 18.83 mega base pairs (Mbp) with an average read length of 280.06 bp. Sequence analyses of all SSR-containing clones revealed a predominance of di-nucleotide motifs (16,375, 61.5%) followed by tri-nucleotide motifs (6,616, 24.8%), tetra-nucleotide motifs (1,674, 6.3%), penta-nucleotide motifs (1,283, 4.8%), and hexa-nucleotide motifs (693, 2.6%). Among the di-nucleotide motifs, the AC/CA class was the most frequently identified (93.5% of all di-nucleotide types), followed by the GA/AG class (6.1%), the AT/TA class (0.4%), and the CG/GC class (0.03%). When we analyzed the distribution of different repeat motifs and their respective numbers of repeats, regardless of the motif class, of 100 SSR markers, we found a higher number of di-nucleotide motifs with 70 to 80 repeats; we also found two di-nucleotide motifs with 83 and 89 repeats, respectively, but their product lengths were within optimum size (297 and 300 bp). In future work, we will screen for polymorphisms of possible primer pairs. The results will provide a useful tool for assessing molecular diversity and investigating the population structure among and within Chrysanthemum species.