Literature DB >> 19292709

Development of a 25-plex SNP assay for traceability in cattle.

B Karniol1, A Shirak, E Baruch, C Singrün, A Tal, A Cahana, M Kam, Y Skalski, G Brem, J I Weller, M Ron, E Seroussi.   

Abstract

Single nucleotide polymorphisms (SNPs) are amenable to automation and therefore have become the marker of choice for DNA profiling. SNaPshot, a primer extension-based method, was used to multiplex 25 SNPs that have been previously validated as useful for identity control. Detection of extended products was based on four different fluorochromes and extension primers with oligonucleotide tails of differing lengths, thus controlling the concise length of the entire chromatogram to 81 bases. Allele frequencies for Holstein, Simmental, Limousin, Angus, Charolais and Tux Cattle were estimated and significant positive Pearson-correlation coefficients were obtained among the analysed breeds. The probability that two randomly unrelated individuals would share identical genotypes for all 25 loci varied from 10(-8) to 10(-10) for these breeds. For parentage control, the exclusion power was found to be 99.9% when the genotypes of both putative parents are known. A traceability test of duplicated samples indicated a high genotyping precision of >0.998. This was further corroborated by analysis of 60 cases of parent-sib pairs and trio families. The 25-plex SNaPshot assay is adapted for low- and high-throughput capacity and thus presents an alternative for DNA-based traceability in the major commercial cattle breeds.

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Year:  2009        PMID: 19292709     DOI: 10.1111/j.1365-2052.2008.01846.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  5 in total

1.  SNPmplexViewer--toward a cost-effective traceability system.

Authors:  Yanir Seroussi; Andrey Shirak; Eyal Seroussi
Journal:  BMC Res Notes       Date:  2011-05-23

2.  Comparison of the effectiveness of microsatellites and SNP panels for genetic identification, traceability and assessment of parentage in an inbred Angus herd.

Authors:  María E Fernández; Daniel E Goszczynski; Juan P Lirón; Egle E Villegas-Castagnasso; Mónica H Carino; María V Ripoli; Andrés Rogberg-Muñoz; Diego M Posik; Pilar Peral-García; Guillermo Giovambattista
Journal:  Genet Mol Biol       Date:  2013-06-22       Impact factor: 1.771

3.  Identification of Target Chicken Populations by Machine Learning Models Using the Minimum Number of SNPs.

Authors:  Dongwon Seo; Sunghyun Cho; Prabuddha Manjula; Nuri Choi; Young-Kuk Kim; Yeong Jun Koh; Seung Hwan Lee; Hyung-Yong Kim; Jun Heon Lee
Journal:  Animals (Basel)       Date:  2021-01-19       Impact factor: 2.752

4.  Identification of horse chestnut coat color genotype using SNaPshot.

Authors:  Fernando Rendo; Mikel Iriondo; Carmen Manzano; Andone Estonba
Journal:  BMC Res Notes       Date:  2009-12-16

5.  SNP Miniplexes for Individual Identification of Random-Bred Domestic Cats.

Authors:  Ashley Brooks; Erica K Creighton; Barbara Gandolfi; Razib Khan; Robert A Grahn; Leslie A Lyons
Journal:  J Forensic Sci       Date:  2016-01-06       Impact factor: 1.832

  5 in total

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