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Predicting potential medicinal plants with phylogenetic topology: Inspiration from the research of traditional Chinese medicine

文献类型：期刊论文

作者Zaman, Wajid5; Ye, Jianfei4; Saqib, Saddam5; Liu, Yun5; Shan, Zhangjian5; Hao, Dacheng3; Chen, Zhiduan2; Xiao, Peigen6
刊名JOURNAL OF ETHNOPHARMACOLOGY
出版日期2021
卷号281
ISSN号0378-8741
关键词Bioprospecting Hot nodes Phylogenetic exploration Traditional medical system
DOI10.1016/j.jep.2021.114515
文献子类Article
英文摘要Ethnopharmacological relevance: Plants are a dominant source of pharmacological drugs for the treatment and cure of different disorders and diseases. However, selecting the most biologically active plant species for further screening is still challenging. Phylogeny has strong explanatory powers and provides predictive perspectives that are not available in traditional plant classifications. China, which is endowed with a diverse set of therapeutic cures from Mother Nature, represents an ideal environment for the phylogenetic analysis of potential medicinal plants. Materials and methods: Herein, we prepared a database of 7,451 traditional Chinese medicinal (TCM) plants, including species with therapeutic effects grouped in 14 categories. To limit our exploration of novel therapeutic species, we plotted the medicinal effects on the phylogenetic tree of almost 30,000 species of China to find hot nodes of therapeutic effects. We used the net relatedness index (NRI) and the nearest taxon index (NTI) to identify clustering and overdispersion of the phylogenetic distribution of TCM plants. Results: The NRI and NTI analyses highlighted 3,392 hot node species with single therapeutic effects within 507 genera and 89 families on the phylogenetic tree and about 70% of the 14 medicinal categories clusters identified. The general pattern of the hot nodes on the phylogenetic tree indicates that basal angiosperms and basal eudicots radiated for therapeutic effects. Conclusions: Our study may provide a more targeted way to discover phylogeny-guided drugs in the early screening stage, which may lead to a higher discovery efficiency of new drugs with meaningful biological activities. Phylogenetic studies of plants that are richer in bioactive compounds can set the ground for the identification and discovery of alternative drugs.
学科主题Plant Sciences ; Chemistry, Medicinal ; Integrative & Complementary Medicine ; Pharmacology & Pharmacy
电子版国际标准刊号1872-7573
出版地CLARE
WOS关键词DISCOVERY ; PHARMACOPEIA ; HEALTH ; TOOLS
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
出版者ELSEVIER IRELAND LTD
WOS记录号WOS:000704785700004
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences [XDB31000000] ; National Natural Science Foundation of China (NSFC) [31800178, 31590822] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences [2021077] ; CAS-TWAS President's Fellowship
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26620]  
专题系统与进化植物学国家重点实验室
作者单位1.Chinese Acad Med Sci, Inst Med Plant Dev, Beijing 100193, Peoples R China
2.Dalian Jiaotong Univ, Sch Environm & Chem Engn, Dalian 116028, Peoples R China
3.Chinese Acad Sci, Inst Bot, Beijing Bot Garden, Beijing 100093, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China
6.Chinese Acad Sci, Sino Africa Joint Res Ctr, Wuhan 430074, Peoples R China
推荐引用方式
GB/T 7714		 Zaman, Wajid,Ye, Jianfei,Saqib, Saddam,et al. Predicting potential medicinal plants with phylogenetic topology: Inspiration from the research of traditional Chinese medicine[J]. JOURNAL OF ETHNOPHARMACOLOGY,2021,281.
APA Zaman, Wajid.,Ye, Jianfei.,Saqib, Saddam.,Liu, Yun.,Shan, Zhangjian.,...&Xiao, Peigen.(2021).Predicting potential medicinal plants with phylogenetic topology: Inspiration from the research of traditional Chinese medicine.JOURNAL OF ETHNOPHARMACOLOGY,281.
MLA Zaman, Wajid,et al."Predicting potential medicinal plants with phylogenetic topology: Inspiration from the research of traditional Chinese medicine".JOURNAL OF ETHNOPHARMACOLOGY 281(2021).

入库方式： OAI收割

来源：植物研究所

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