Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 549863
Title The application of multi-locus DNA metabarcoding in traditional medicines
Author(s) Arulandhu, Alfred J.; Staats, Martijn; Hagelaar, Rico; Peelen, Tamara; Kok, E.J.
Source Journal of Food Composition and Analysis 79 (2019). - ISSN 0889-1575 - p. 87 - 94.
Department(s) Food Quality and Design
BU Toxicology, Novel Foods & Agrochains
BU Toxicology, Novel Foods & Agro chains Sub A
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) Customs authority - Declared and undeclared ingredients - DNA extraction - Endangered species - Multi-locus DNA metabarcoding - Traditional medicines

Traditional medicines (TMs) are globally traded and the consumer market is estimated to be $83 billion per annum. The diversity of TM matrices and poor quality of DNA extracted from highly processed TMs makes it challenging to apply standardized DNA-based procedures for ingredient analysis. In the present study, multiple DNA extraction methods were compared for the ability to obtain amplifiable DNA from TMs belonging to different matrices. The best performing DNA extraction was used to successfully obtain DNA from 18 TMs that were subsequently analyzed with a multi-locus DNA metabarcoding method to assess the species composition. In the analysis mini-barcodes accounted for the identification of most of the taxa in the TMs. The plant (ITS2) and animal (mini-16S) mini-barcode markers showed to allow species level identification of targets. In a few cases, full-length barcode markers, requiring higher quality DNA, proved to be critically informative at this level. The applied strategy resulted in the identification of a wide range of declared and undeclared ingredients, including endangered species (Ursus arctos and Aloe sp.). In 14 TMs less than 65% of the identified taxa matched the product label, and in two TMs none of the identified species matched the ingredients list. The current study shows that a multi-locus DNA metabarcoding approach is an informative analytical tool for species identification in TMs, including the potential identification of endangered species.

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