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Medicinal plants of the Chinese Pharmacopoeia and Daodi: insights from phylogeny and biogeography

Lei, D., Wu, J., Leon, C., Huang, L.-f. and Hawkins, J. A. ORCID: https://orcid.org/0000-0002-9048-8016 (2018) Medicinal plants of the Chinese Pharmacopoeia and Daodi: insights from phylogeny and biogeography. Chinese Herbal Medicine, 10 (3). pp. 269-278. ISSN 1674-6384

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To link to this item DOI: 10.1016/j.chmed.2018.06.004

Abstract/Summary

The Chinese Pharmacopoeia 2015 includes 584 plant medicines, of which 284 also contain high quality subsets, so called ‘Daodi’ components, where Daodi denotes superior clinical properties compared to non-Daodi counterparts despite being sourced from the same species. Commercial and clinical drivers of selection for Daodi have been described elsewhere. Our objective is to investigate the overall composition of Daodi to determine in what ways medicines with Daodi as a whole differ from the other plants of the Chinese Pharmacopoeia. A further objective is to characterise the Chinese Pharmacopoeia and Daodi in terms of the plant species it includes, their traits and their distribution. We used trait analysis to identify whether Daodi species were significantly different from the remaining Chinese Pharmacopoeia plant species in any traits. We used biogeographic methods and an existing classification of Daodi into ten regions to identify spatial patterns amongst the species. Regression and binomial analyses were used to test for over and under-use of plant families and endemic species. Preferences for lineages were visualised using phylogenetic mapping. We found Daodi species (species with any Daodi subset) are more likely to be roots that are ‘hot’ or ‘warm’, and less likely to be ‘toxic’, according to Traditional Chinese Medicine (TCM) concepts. Roots were over-represented in the Bei region, and whole plants over-represented in Guang. Both the Chinese Pharmacopoeia and Daodi indicate preferences for families not common in previously studied ethnopharmacopoeias, and fewer endemic species are represented than expected by chance. In highlighting patterns of plant use, our study points towards cultural preferences in need of scientific explanation.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Ecology and Evolutionary Biology
ID Code:78030
Publisher:Elsevier

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