Advances in DNA-based techniques for the detection of seafood species substitution on the commercial market.

TitleAdvances in DNA-based techniques for the detection of seafood species substitution on the commercial market.
Publication TypeJournal Article
Year of Publication2011
AuthorsHellberg, RSRasmusse, Morrissey, MT
JournalJ Lab Autom
Date Published2011 Aug
KeywordsAnimals, Automation, Laboratory, Bivalvia, DNA, DNA Fingerprinting, Fishes, High-Throughput Screening Assays, Microfluidic Analytical Techniques, Molecular Typing, Oligonucleotide Array Sequence Analysis, Polymerase Chain Reaction, Seafood, Species Specificity

Increased worldwide trade and processing of seafood has increased the potential for species substitution on the commercial market. To detect and prevent species substitution, several deoxyribonucleic acid (DNA)-based methods have been developed that can be used to identify species in a variety of food types. For large-scale applications, such as regulatory screening, these methods must be rapid, cost-effective, reliable, and have high potential for automation. This review highlights recent technological advances in DNA-based identification methods, with a focus on seafood species identification in automated, high-throughput settings. Advances in DNA isolation methods include silica-based columns for use in high-throughput operations and magnetic bead particles for increased and targeted recovery of DNA. The three most widely used methods for seafood species identification (polymerase chain reaction [PCR] sequencing, PCR-restriction fragment length polymorphism, and species-specific PCR) will be discussed, with a focus on the incorporation of technologies such as rapid PCR cycling, microfluidic chips, and real-time PCR. Emerging methods, including DNA microarrays and next-generation sequencing will also be explored for their potential to identify seafood species on a large scale. Overall, many of the technological advances discussed here offer complementary properties that will enable species identification in a variety of settings and with a range of products.

Alternate JournalJ Lab Autom
PubMed ID21764026