Document Detail


Use of the canonical discriminant analysis to select SNP markers for bovine breed assignment and traceability purposes.
MedLine Citation:
PMID:  23347105     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Several market research studies have shown that consumers are primarily concerned with the provenance of the food they eat. Among the available identification methods, only DNA-based techniques appear able to completely prevent frauds. In this study, a new method to discriminate among different bovine breeds and assign new individuals to groups was developed. Bulls of three cattle breeds farmed in Italy - Holstein, Brown, and Simmental - were genotyped using the 50K SNP Illumina BeadChip. Multivariate canonical discriminant analysis was used to discriminate among breeds, and discriminant analysis (DA) was used to assign new observations. This method was able to completely identify the three groups at chromosome level. Moreover, a genome-wide analysis developed using 340 linearly independent SNPs yielded a significant separation among groups. Using the reduced set of markers, the DA was able to assign 30 independent individuals to the proper breed. Finally, a set of 48 high discriminant SNPs was selected and used to develop a new run of the analysis. Again, the procedure was able to significantly identify the three breeds and to correctly assign new observations. These results suggest that an assay with the selected 48 SNP could be used to routinely track monobreed products.
Authors:
C Dimauro; M Cellesi; R Steri; G Gaspa; S Sorbolini; A Stella; N P P Macciotta
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-24
Journal Detail:
Title:  Animal genetics     Volume:  -     ISSN:  1365-2052     ISO Abbreviation:  Anim. Genet.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8605704     Medline TA:  Anim Genet     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2013 The Authors, Animal Genetics © 2013 Stichting International Foundation for Animal Genetics.
Affiliation:
Dipartimento di Agraria, Università di Sassari, Via De Nicola 9, 07100, Sassari, Italy.
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