Acta Vet. Brno 2019, 88: 315-322

A quantitative comparison of two kits for DNA extraction from canned tuna

Eliška Servusová1,2, Vladimír Babák2, Zora Piskatá2, Pavel Krčmář2

1University of Veterinary and Pharmaceutical Sciences Brno, Faculty of Veterinary Hygiene and Ecology, Department of Meat Hygiene and Technology, Brno, Czech Republic
2Veterinary Research Institute, Brno, Czech Republic

Received April 1, 2019
Accepted June 13, 2019

The most common methods that can be used for species identification of tuna include methods based on detection of species-specific DNA via the polymerase chain reaction (PCR) method. The problem with DNA detection in processed products is the possibility of DNA fragmentation during the technological process. The quantity and quality of extracted DNA is a crucial step for species identification based on the DNA analysis. In this study, two DNA extraction methods (DNeasy Blood & Tissue Kit and DNeasy mericon Food Kit) for tuna DNA isolation were compared. Eight food products of canned tuna (three of them were declared as Thunnus albacares and five products were declared as Katsuwonus pelamis) with a different addition of various ingredients were tested. Furthermore, three different times of proteolysis (30 min, 60 min, overnight) for each sample and each extraction kit were evaluated. The DNA concentration was determined by a Qubit dsDNA HS Assay Kit fluorescence method and quantified using a Qubit fluorometer. The DNA purity was evaluated using the A260/A280 ratio of absorbances measured on a spectrophotometer. The main indicator of DNA quality and quantity was its amplifiability in the subsequent real-time PCR for Thunnus species, Thunnus albacares and Katsuwonus pelamis. Based on the results, both kits can be used for tuna species determination in highly heat-treated products with different composition, nevertheless, the DNeasy mericon Food Kit provided better statistical values in some parameters. The effect of different times of proteolysis was significant in most of the samples with regard to the crossing point values determined by real-time PCR.


This work was supported by the Ministry of Agriculture (grants QJ1530272 and RO0518) and IGA VFU 214/2017/FVHE.


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