인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
Full-text AI
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Background : Plants belonging to 5 species of the genus Eleutherococcus are currently distributed in the Korean peninsula. The traditional medicine ‘Ogapi’, derived from Eleutherococcus sessiliflorus and other related species, and ‘Gasiogapi’, derived from Eleutherococcus senticosus, are frequently mixed up and marketed. Therefore, accurated identification of their origins in urgently required.
Methods and Results : Candidate genes from nuclear ribosomal DNA (nrDNA) and chloroplast DNA (cpDNA) of Eleutherococcus plants were analyzed. Whereas the nrDNA-internal transcribed spacer (ITS) regions were useful in elucidating the phylogenetic relationships among the plants, the cpDNA regions were not as effective. Therefore, a combined analysis with nrDNA-ITS was performed.
Various combinations of nrDNA and matK were effective for discriminating among the plants. However, the matK and rpoC1 combination was ineffective for discriminating among some species. Based on these results, it was found that OG1, OG4, OG5, OG7, GS1, GS2, and GS3 were derived from E. sessiliflorus. In particular, it was confirmed that GS1, GS2, and GS3 were not derived from E. senticosus. However, more samples need to be analyzed because identification of the origins of OG2, OG3, OG6 and GS4 was not possible.
Conclusion : The ITS2, ITS5a, and matK combination was the most effective in identifying the phylogenetic relationship among Eleutherococcus plants and traditional medicines based on Eleutherococcus.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2019-480-000586499