Literature DB >> 32838560

DNA barcode markers applied to seafood authentication: an updated review.

Telmo J R Fernandes1, Joana S Amaral2, Isabel Mafra1.   

Abstract

The world's seafood supply and trade have increased in the last decades, as well as the potential for marketed species substitution. Currently, seafood safety and authenticity assessment have become central issues, directly related with the identification of improper labeling of processed foods. To detect and prevent mislabeling issues, species identification using DNA barcodes has been widely used as effective molecular markers. Therefore, this review intends to present the current status on the application of DNA barcodes to seafood species authentication. In this regard, the barcode regions, reference databases and related methodologies are described, while applications are listed and summarized. Cytochrome c oxidase subunit I (COI) gene has been the preferential targeted DNA region in animal species identification, including fish and shellfish, though other mitochondrial (cytb, 12S rRNA, 16S rRNA) and nuclear genes have been used. DNA barcoding relying on Sanger's sequencing has been the most used approach for seafood authentication. Nevertheless, in recent years, noteworthy progresses have been advanced toward DNA barcoding strategies, involving next generation sequencing. Methods relying on real-time PCR using species-specific primers and probes or followed by high resolution melting analysis combined with DNA barcodes represent alternative and promising approaches for simple, cost-effective and high-throughput species discrimination in processed seafood. Still, polymerase chain reaction with restriction fragment length polymorphism detection, targeting DNA barcodes, continues to be a well-established and broadly accepted method in seafood authentication.

Entities:  

Keywords:  DNA barcodes; DNA barcoding; fish; high resolution melting; next generation sequencing; shellfish

Mesh:

Substances:

Year:  2020        PMID: 32838560     DOI: 10.1080/10408398.2020.1811200

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  9 in total

Review 1.  Application of DNA barcoding for ensuring food safety and quality.

Authors:  Jirapat Dawan; Juhee Ahn
Journal:  Food Sci Biotechnol       Date:  2022-07-27       Impact factor: 3.231

2.  COIBar-RFLP Molecular Strategy Discriminates Species and Unveils Commercial Frauds in Fishery Products.

Authors:  Anna Maria Pappalardo; Marta Giuga; Alessandra Raffa; Marco Nania; Luana Rossitto; Giada Santa Calogero; Venera Ferrito
Journal:  Foods       Date:  2022-05-26

3.  Combining DNA and HPTLC profiles to differentiate a pain relief herb, Mallotus repandus, from plants sharing the same common name, "Kho-Khlan".

Authors:  Kannika Thongkhao; Chayapol Tungphatthong; Vipawee Pichetkun; Suthathip Gaewtongliam; Worakorn Wiwatcharakornkul; Suchada Sukrong
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

4.  Target and Non-Target Approaches for Food Authenticity and Traceability.

Authors:  Joana S Amaral
Journal:  Foods       Date:  2021-01-16

Review 5.  Animal Species Authentication in Dairy Products.

Authors:  Isabel Mafra; Mónica Honrado; Joana S Amaral
Journal:  Foods       Date:  2022-04-13

6.  Discrimination between Wild and Farmed Sea Bass by Using New Spectrometry and Spectroscopy Methods.

Authors:  Giovanna Esposito; Simona Sciuto; Chiara Guglielmetti; Paolo Pastorino; Francesco Ingravalle; Giuseppe Ru; Elena Maria Bozzetta; Pier Luigi Acutis
Journal:  Foods       Date:  2022-06-07

Review 7.  Life barcoded by DNA barcodes.

Authors:  Mali Guo; Chaohai Yuan; Leyan Tao; Yafei Cai; Wei Zhang
Journal:  Conserv Genet Resour       Date:  2022-08-15       Impact factor: 0.991

8.  Development of loop-mediated isothermal amplification (LAMP) assay for rapid and direct screening of yellowfin tuna (Thunnus albacares) in commercial fish products.

Authors:  Ashraf Ali; Antonia Kreitlow; Madeleine Plötz; Giovanni Normanno; Amir Abdulmawjood
Journal:  PLoS One       Date:  2022-10-12       Impact factor: 3.752

9.  Machine Learning Approaches Applied to GC-FID Fatty Acid Profiles to Discriminate Wild from Farmed Salmon.

Authors:  Liliana Grazina; P J Rodrigues; Getúlio Igrejas; Maria A Nunes; Isabel Mafra; Marco Arlorio; M Beatriz P P Oliveira; Joana S Amaral
Journal:  Foods       Date:  2020-11-07
  9 in total

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