Decoding Seafood: Multi-Marker Metabarcoding for Authenticating Processed Seafood
Anna Mottola,
Roberta Piredda,
Lucilia Lorusso,
Lucia Ranieri,
Chiara Intermite,
Concettina Barresi,
Carmela Galli,
Angela Di Pinto
Affiliations
Anna Mottola
Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy
Roberta Piredda
Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy
Lucilia Lorusso
Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy
Lucia Ranieri
Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy
Chiara Intermite
Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy
Concettina Barresi
Laboratory of Modena, Department of Central Inspectorate for Fraud Repression and Quality Protection of the Agri-Food Products and Foodstuffs, Ministry of Agriculture, Food Sovereignty and Forests (ICQRF-MASAF), Via Domenico Cucchiari, 12, 41124 Modena, Italy
Carmela Galli
Laboratory of Salerno, Department of Central Inspectorate for Fraud Repression and Quality Protection of the Agri-Food Products and Foodstuffs, Ministry of Agriculture, Food Sovereignty and Forests (ICQRF-MASAF), Via Frà Giacomo Acquaviva n. 1, 84135 Salerno, Italy
Angela Di Pinto
Department of Veterinary Medicine, University of Bari Aldo Moro, Prov. le Casamassima 62, Km 3, 70010 Valenzano, Italy
Given the recognized nutritional value of fish and shifting consumer lifestyles, processed seafood has become increasingly prevalent, comprising a significant portion of global food production. Although current European Union labeling regulations do not require species declaration for these products, food business operators often voluntarily provide this information on ingredient lists. Next Generation Sequencing (NGS) approaches are currently the most effective methods for verifying the accuracy of species declarations on processed seafood labels. This study examined the species composition of 20 processed seafood products, each labeled as containing a single species, using two DNA metabarcoding markers targeting the mitochondrial cytochrome c oxidase I (COI) and 16S rRNA genes. The combined use of these markers revealed that the majority of the products contained multiple species. Furthermore, two products were found to be mislabeled, as the declared species were not detected. These findings underscore that NGS is a robust technique that could be adopted to support routine food industry activities and official control programs, thereby enhancing the ‘From Boat to Plate’ strategy and combating fraudulent practices in the complex fisheries supply chain.