Abstract
Food and feed products derived from animal materials have a long history of being adulterated. Methods for the identification of animal samples based on DNA barcoding are very potent tools to reveal species substitution. Since numerous DNA barcoding methods are available for different taxa, it is challenging to choose an appropriate and verified method for each sample in question. To overcome this obstacle the working group “Molecular biological methods for plant and animal species differentiation” developed the “Barcoding Table of Animal Species”. This working group is established through the German food and feed law and is mandated to validate standard methods, especially for the official food and feed control laboratories in Germany. In this paper, a collection of currently available and verified DNA barcoding methods for the identification of animal species is presented as a Microsoft Excel® file—“The Barcoding Table of Animal Species (BaTAnS)”. It consists of several components: The method collection, the results collection and a section for reporting new entries and problems. It is focusing on the validity and applicability of DNA barcoding methods to test food and feed products for correct species declaration. Each method is listed with its reference and is verified by at least two laboratories for their applicability. Since additional information will be available in future, this table will be updated regularly. The BaTAnS is an easy tool that helps to choose the right verified method to identify a certain specimen to taxon, genus or species level in food samples.
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We thank the Federal Office of Consumer Protection and Food Safety of Germany, Berlin for the financial support of this work.
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Matthes, N., Pietsch, K., Rullmann, A. et al. The Barcoding Table of Animal Species (BaTAnS): a new tool to select appropriate methods for animal species identification using DNA barcoding. Mol Biol Rep 47, 6457–6461 (2020). https://doi.org/10.1007/s11033-020-05675-1
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DOI: https://doi.org/10.1007/s11033-020-05675-1