Title
Development of a DNA Metabarcoding Method for the Identification of Bivalve Species in Seafood Products
Author
Kristina Gense
Austrian Competence Centre for Feed and Food Quality, Safety and Innovation, FFoQSI GmbH
Author
Verena Peterseil
Department of Molecular Biology and Microbiology, Institute for Food Safety, Austrian Agency for Health and Food Safety (AGES)
Author
Alma Licina
LVA GmbH
... show all
Abstract
The production of bivalve species has been increasing in the last decades. In spite of strict requirements for species declaration, incorrect labelling of bivalve products has repeatedly been detected. We present a DNA metabarcoding method allowing the identification of bivalve species belonging to the bivalve families Mytilidae (mussels), Pectinidae (scallops), and Ostreidae (oysters) in foodstuffs. The method, developed on Illumina instruments, targets a 150 bp fragment of mitochondrial 16S rDNA. We designed seven primers (three primers for mussel species, two primers for scallop species and a primer pair for oyster species) and combined them in a triplex PCR assay. In each of eleven reference samples, the bivalve species was identified correctly. In ten DNA extract mixtures, not only the main component (97.0–98.0%) but also the minor components (0.5–1.5%) were detected correctly, with only a few exceptions. The DNA metabarcoding method was found to be applicable to complex and processed foodstuffs, allowing the identification of bivalves in, e.g., marinated form, in sauces, in seafood mixes and even in instant noodle seafood. The method is highly suitable for food authentication in routine analysis, in particular in combination with a DNA metabarcoding method for mammalian and poultry species published recently.
Keywords
DNA metabarcodingnext generation sequencingfood authenticationbivalvesMytilidaePectinidaeOstreidaespecies identificationmitochondrial 16S rDNAseafood
Object type
Language
English [eng]
Persistent identifier
https://phaidra.univie.ac.at/o:1597347
Appeared in
Title
Foods
Volume
10
Issue
11
ISSN
2304-8158
Issued
2021
Publisher
MDPI AG
Date issued
2021
Access rights
Rights statement
© 2021 by the authors

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