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

doi:10.1016/j.jep.2021.114515

	Predicting potential medicinal plants with phylogenetic topology: Inspiration from the research of traditional Chinese medicine
	Zaman, Wajid 1; Ye, Jianfei 2; Saqib, Saddam 1; Liu, Yun 1; Shan, Zhangjian 1; Hao, Dacheng 3; Chen, Zhiduan4 ; Xiao, Peigen 5
	2021
发表期刊	JOURNAL OF ETHNOPHARMACOLOGY
ISSN	0378-8741
卷号	281
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.
关键词	Bioprospecting Hot nodes Phylogenetic exploration Traditional medical system
学科领域	Plant Sciences ; Chemistry, Medicinal ; Integrative & Complementary Medicine ; Pharmacology & Pharmacy
DOI	10.1016/j.jep.2021.114515
收录类别	SCI
语种	英语
WOS关键词	DISCOVERY ; PHARMACOPEIA ; HEALTH ; TOOLS
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000704785700004
出版者	ELSEVIER IRELAND LTD
文献子类	Article
出版地	CLARE
EISSN	1872-7573
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
作者邮箱	shangla123@gmail.com ; yejf@ibcas.ac.cn ; saddamsaqib.qau@gmail.com ; liuyun@ibcas.ac.cn ; shanzj@ibcas.ac.cn ; haodc@126.com ; zhiduan@ibcas.ac.cn ; pgxiao@implad.ac.cn
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	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 Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Bot, Beijing Bot Garden, Beijing 100093, Peoples R China 4.Dalian Jiaotong Univ, Sch Environm & Chem Engn, Dalian 116028, Peoples R China 5.Chinese Acad Sci, Sino Africa Joint Res Ctr, Wuhan 430074, Peoples R China 6.Chinese Acad Med Sci, Inst Med Plant Dev, Beijing 100193, 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).

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