A new real-time PCR method for rapid and specific detection of Ling (Molva molva)
7 páginas, 3 figuras, 3 tablas Seafood fraud – often involving substitution of one species by another – has attracted much attention as it is prevalent worldwide. Whilst DNA analysis has helped to combat this type of fraud some of the methods currently in use are time-consuming and require sophistic...
Published in: | Food Chemistry |
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Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/10261/146643 https://doi.org/10.1016/j.foodchem.2017.01.117 |
Summary: | 7 páginas, 3 figuras, 3 tablas Seafood fraud – often involving substitution of one species by another – has attracted much attention as it is prevalent worldwide. Whilst DNA analysis has helped to combat this type of fraud some of the methods currently in use are time-consuming and require sophisticated equipment or highly-trained personnel. This work describes the development of a new, real-time PCR TaqMan assay for the detection of ling (Molva molva) in seafood products. For this purpose, specific primers and a minor groove binding (MGB) TaqMan probe were designed to amplify the 81 bp region on the cyt b gene. Efficiency, specificity and cross-reactivity assays showed statistically significant differences between the average Ct value obtained for Molva molva DNA (19.45 ± 0.65) and the average Ct for non-target species DNA (38.3 ± 2.8), even with closely related species such as Molva dypterygia (34.9 ± 0.09). The proposed methodology has been validated with 31 commercial samples The work was supported by the projects ‘‘GENTRASEA: Genetic Traceability of Fish Products. Rapid methods with DNA hybridiza- tion probes” funded by the Spanish Ministry of Science and Innova- tion AGL2009-13711-C03-01/ALI, and ‘‘LABELFISH: Atlantic Network on Genetic Control of Fish and Seafood Labelling and Traceability” (2011-1/163) funded by the Atlantic Area Program. The Spanish Ministry of Science and Innovation is gratefully acknowledged for the doctoral fellowship to L.T Peer reviewed |
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