Document Detail


Development of a genetic tool for product regulation in the diverse British pig breed market.
MedLine Citation:
PMID:  23150935     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: The application of DNA markers for the identification of biological samples from both human and non-human species is widespread and includes use in food authentication. In the food industry the financial incentive to substituting the true name of a food product with a higher value alternative is driving food fraud. This applies to British pork products where products derived from traditional pig breeds are of premium value. The objective of this study was to develop a genetic assay for regulatory authentication of traditional pig breed-labelled products in the porcine food industry in the United Kingdom.
RESULTS: The dataset comprised of a comprehensive coverage of breed types present in Britain: 460 individuals from 7 traditional breeds, 5 commercial purebreds, 1 imported European breed and 1 imported Asian breed were genotyped using the PorcineSNP60 beadchip. Following breed-informative SNP selection, assignment power was calculated for increasing SNP panel size. A 96-plex assay created using the most informative SNPs revealed remarkably high genetic differentiation between the British pig breeds, with an average FST of 0.54 and Bayesian clustering analysis also indicated that they were distinct homogenous populations. The posterior probability of assignment of any individual of a presumed origin actually originating from that breed given an alternative breed origin was > 99.5% in 174 out of 182 contrasts, at a test value of log(LR) > 0. Validation of the 96-plex assay using independent test samples of known origin was successful; a subsequent survey of market samples revealed a high level of breed label conformity.
CONCLUSION: The newly created 96-plex assay using selected markers from the PorcineSNP60 beadchip enables powerful assignment of samples to traditional breed origin and can effectively identify mislabelling, providing a highly effective tool for DNA analysis in food forensics.
Authors:
Samantha Wilkinson; Alan L Archibald; Chris S Haley; Hendrik-Jan Megens; Richard P M A Crooijmans; Martien A M Groenen; Pamela Wiener; Rob Ogden
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-11-15
Journal Detail:
Title:  BMC genomics     Volume:  13     ISSN:  1471-2164     ISO Abbreviation:  BMC Genomics     Publication Date:  2012  
Date Detail:
Created Date:  2012-11-15     Completed Date:  2013-04-23     Revised Date:  2014-02-20    
Medline Journal Info:
Nlm Unique ID:  100965258     Medline TA:  BMC Genomics     Country:  England    
Other Details:
Languages:  eng     Pagination:  580     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Animals
Breeding*
DNA / analysis
Food Analysis / methods*
Genetic Markers
Genetic Variation
Great Britain
Meat / analysis
Phylogeny
Polymorphism, Single Nucleotide
Sus scrofa / classification,  genetics
Grant Support
ID/Acronym/Agency:
MC_U127592696//Medical Research Council; //Biotechnology and Biological Sciences Research Council
Chemical
Reg. No./Substance:
0/Genetic Markers; 9007-49-2/DNA
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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