4.7 Article

Species identification of bivalve molluscs by pyrosequencing

Journal

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
Volume 97, Issue 2, Pages 512-519

Publisher

WILEY
DOI: 10.1002/jsfa.7754

Keywords

bivalve molluscs; seafood species identification; pyrosequencing; 16S ribosomal RNA; cytochrome c oxidase I; commercial frauds

Funding

  1. Italian Ministry of Agriculture [E12900E1]

Ask authors/readers for more resources

BACKGROUNDThe increase in seafood consumption and the presence of different species of bivalves on the global markets has given rise to several commercial frauds based on species substitution. To prevent and detect wilful or unintentional frauds, reliable and rapid techniques are required to identify seafood species in different products. In the present work, a pyrosequencing-based technology has been used for the molecular identification of bivalve species. RESULTSProcessed and unprocessed samples of 15 species belonging to the bivalve families Pectinidae, Mytilidae, Donacidae, Ostreidae, Pharide and Veneridae were analysed and correctly identified by the developed pyrosequencing-based method according to the homology between query sequences of the 16S ribosomal RNA (16S rRNA) and cytochrome c oxidase I (COI) genes and their correspondent reference libraries. This technique exhibits great potential in automated and high-throughput processing systems, allowing the simultaneous analysis of 96 samples in shorter execution and turnaround times. CONCLUSIONSThe correct identification of all the species shows how useful this technique may prove to differentiate species from different products, providing an alternative, simple, rapid and economical tool to detect seafood substitution frauds. (c) 2016 Society of Chemical Industry

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available