DNA barcoding: an efficient technology to authenticate plant species of traditional Chinese medicine and recent advances

Author:

Zhu Shuang,Liu Qiaozhen,Qiu Simin,Dai Jiangpeng,Gao Xiaoxia

Abstract

AbstractTraditional Chinese medicine (TCM) plays an important role in the global traditional health systems. However, adulterated and counterfeit TCM is on the rise. DNA barcoding is an effective, rapid, and accurate technique for identifying plant species. In this study, we collected manuscripts on DNA barcoding published in the last decade and summarized the use of this technique in identifying 50 common Chinese herbs listed in the Chinese pharmacopoeia. Based on the dataset of the major seven DNA barcodes of plants in the NCBI database, the strengths and limitations of the barcodes and their derivative barcoding technology, including single-locus barcode, multi-locus barcoding, super-barcoding, meta-barcoding, and mini-barcoding, were illustrated. In addition, the advances in DNA barcoding, particularly identifying plant species for TCM using machine learning technology, are also reviewed. Finally, the selection process of an ideal DNA barcoding technique for accurate identification of a given TCM plant species was also outlined.

Funder

the Guangdong Province Science and Technology Plan Project

the Special Project of International Science and Technology Cooperation Guidance of Guangdong Academy of Sciences

the Open Fund Project of the State Key Laboratory of Applied Microbiology Southern China

Publisher

Springer Science and Business Media LLC

Subject

Complementary and alternative medicine,Pharmacology

Reference175 articles.

1. Uzuner H, Bauer R, Fan TP, Guo DA, Dias A, El-Nezami H, et al. Traditional Chinese medicine research in the post-genomic era: good practice priorities challenges and opportunities. J Ethnopharmacol. 2012;140:458–68.

2. Zhang L, Yan J, Liu X, Ye Z, Yang X, Meyboom R, et al. Pharmacovigilance practice and risk control of Traditional Chinese Medicine drugs in China: current status and future perspective. J Ethnopharmacol. 2012;140:519–25.

3. Marichamy K, Kumar NY, Ganesan A. Sustainable development in exports of herbals and Ayurveda Siddha Unani and Homeopathy (Ayush) in India. Sci Park Res J. 2014;1:23218045.

4. Deng YJ, Liu BW, He ZX, Liu T, Zheng RL, Yang AD, et al. Study on active compounds from Huoxiang Zhengqi Oral Liquid for prevention of coronavirus disease 2019 (COVID-19) based on network pharmacology and molecular docking. Chin Tradit Herb Drugs. 2020;51:1113–22.

5. Yao KT, Liu MY, Li X, Huang JH, Cai HB. Retrospective clinical analysis on treatment of Coronavirus Disease 2019 with Traditional Chinese Medicine Lianhua Qingwen. Chin J Exp Tradit Med Formulae. 2020;26:8–12.

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