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Abstract
Safety concerns, stemming from the presence of complex and unpredictable adulterants, permeate the entire industrial chain of traditional Chinese medicines (TCMs). The Notopterygii Rhizoma et Radix (NReR) from the Apiaceae family, commonly known as “Qiang-huo”, is a widely used herbal medicine. The recent surge in its demand has given rise to a proliferation of counterfeit and substituted products in the market. Traditional identification presents inherent limitations, while DNA mini-barcoding, reliant on sequencing a short-standardized region, has received considerable attention as a new potential means to identify processed medicinal materials. In this study, we constructed a comprehensive Internal Transcribed Spacer 2 (ITS2) matrix encompassing genuine NReR and their commonly found adulterants for the first time. Leveraging this matrix, we conducted a thorough assessment of the genetic profiles and sources of NReR available in the Chinese herbal medicine market. Following established DNA barcoding protocols, the intra-specific genetic divergences within NReR species were found to be lower than the inter-specific genetic divergences from other species. Among the 120 samples that were successfully amplified, ITS2 exhibits an outstanding species-level identification efficiency of 100% when evaluated using both the BLASTN and neighbor-joining (NJ) tree methods. We concluded that ITS2 is a mini-barcode that has shown its potential and may become a universal mini-barcode for the quality control of “Qiang-huo”, thereby ensuring the safety of clinical medication.
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1 Yunnan Academy of Forestry and Grassland, Yunnan Key Laboratory of Biodiversity of Gaoligong Mountain, Kunming, China (GRID:grid.464490.b) (ISNI:0000 0004 1798 048X); Gaoligong Mountain, Forest Ecosystem, Observation and Research Station of Yunnan Province, Kunming, China (GRID:grid.464490.b)
2 Kunming Medical University, School of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Chenggong New City, Kunming, China (GRID:grid.285847.4) (ISNI:0000 0000 9588 0960)