DNA Barcoding applied to authentication of food and feed products
- Hulin, J. , Berben, G. , Janssen, E. & Debode, F. (2019). DNA Barcoding applied to authentication of food and feed products. Poster in: 9th International Symposium on RECENT ADVANCES IN FOOD ANALYSIS, Prague, Czech Republic, November 5–8, Book of Abstracts, p. 282, poster B44. ISBN 978-80-7592-055-03.
Type | Poster |
Year | 2019 |
Title | DNA Barcoding applied to authentication of food and feed products |
Event name | 9th International Symposium on RECENT ADVANCES IN FOOD ANALYSIS |
Event location | Prague, Czech Republic |
Event date | November 5–8, Book of Abstracts, p. 282, poster B44. ISBN 978-80-7592-055-03 |
Type of poster | Research |
Project/Service ref | NGS |
Endnote Keywords | NGS, DNA, barcoding |
Abstract | Identification of plant ingredients in raw and processed products is a challenge due to the very large variety of plant species. Present methods of molecular biology, as real-time PCR, only allow detection of plant species for which a specific test exists. DNA barcoding combined to High Throughput Sequencing (HTS) is a way to propose untargeted approaches enabling to determine the composition of mixed products or to detect the presence of possible adulterants or contaminants from plant origin. In our study, we analyzed a large set of samples including 35 mixtures of plant DNA and 13 real-world food and feed samples with three barcodes (ndhJ, UP1-ITS2 and rbcL) on Illumina HiSeq. The bioinformatics pipeline developed to analyse the results was based on a bash script combining Usearch, Blastn and R packages. For most of the samples, results corresponded to what was expected. We however observed differences in sensitivity in the detection of particular plant species in function of the barcode used. The UP1-ITS2 barcode showed the largest number of identification errors, even if the proposed plant species of the outcome were taxonomically very close to what it should have been. This shows the importance to work with several barcodes tested on a large panel of plant species in order to avoid erroneous determination of the composition of food and feed products. |
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Authors | Hulin, J., Berben, G., Janssen, E., Debode, F. |