Literature DB >> 19016674

Assessing SNP markers for assigning individuals to cattle populations.

R Negrini1, L Nicoloso, P Crepaldi, E Milanesi, L Colli, F Chegdani, L Pariset, S Dunner, H Leveziel, J L Williams, P Ajmone Marsan.   

Abstract

The effectiveness of single nucleotide polymorphisms (SNPs) for the assignment of cattle to their source breeds was investigated by analysing a panel of 90 SNPs assayed on 24 European breeds. Breed assignment was performed by comparing the Bayesian and frequentist methods implemented in the STRUCTURE 2.2 and GENECLASS 2 software programs. The use of SNPs for the reallocation of known individuals to their breeds of origin and the assignment of unknown individuals was tested. In the reallocation tests, the methods implemented in STRUCTURE 2.2 performed better than those in GENECLASS 2, with 96% vs. 85% correct assignments respectively. In contrast, the methods implemented in GENECLASS 2 showed a greater correct assignment rate in allocating animals treated as unknowns to a reference dataset (62% vs. 51% and 80% vs. 65% in field tests 1 and 2 respectively). These results demonstrate that SNPs are suitable for the assignment of individuals to reference breeds. The results also indicate that STRUCTURE 2.2 and GENECLASS 2 can be complementary tools to assess breed integrity and assignment. Our findings also stress the importance of a high-quality reference dataset in allocation studies.

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Year:  2008        PMID: 19016674     DOI: 10.1111/j.1365-2052.2008.01800.x

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


  8 in total

1.  The evaluation of the usefulness of pedigree verification-dedicated SNPs for breed assignment in three polish cattle populations.

Authors:  Artur Gurgul; Dominika Rubiś; Tomasz Ząbek; Kacper Zukowski; Klaudia Pawlina; Ewelina Semik; Monika Bugno-Poniewierska
Journal:  Mol Biol Rep       Date:  2013-09-22       Impact factor: 2.316

Review 2.  The application of genome-wide SNP genotyping methods in studies on livestock genomes.

Authors:  Artur Gurgul; Ewelina Semik; Klaudia Pawlina; Tomasz Szmatoła; Igor Jasielczuk; Monika Bugno-Poniewierska
Journal:  J Appl Genet       Date:  2014-02-25       Impact factor: 3.240

3.  Variation of cats under domestication: genetic assignment of domestic cats to breeds and worldwide random-bred populations.

Authors:  J D Kurushima; M J Lipinski; B Gandolfi; L Froenicke; J C Grahn; R A Grahn; L A Lyons
Journal:  Anim Genet       Date:  2012-11-22       Impact factor: 3.169

4.  Evaluation of approaches for identifying population informative markers from high density SNP chips.

Authors:  Samantha Wilkinson; Pamela Wiener; Alan L Archibald; Andy Law; Robert D Schnabel; Stephanie D McKay; Jeremy F Taylor; Rob Ogden
Journal:  BMC Genet       Date:  2011-05-13       Impact factor: 2.797

5.  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

6.  Genetic Diversity and Population Structure of Ethiopian Sheep Populations Revealed by High-Density SNP Markers.

Authors:  Zewdu Edea; Tadelle Dessie; Hailu Dadi; Kyoung-Tag Do; Kwan-Suk Kim
Journal:  Front Genet       Date:  2017-12-22       Impact factor: 4.599

7.  Identifying highly informative genetic markers for quantification of ancestry proportions in crossbred sheep populations: implications for choosing optimum levels of admixture.

Authors:  Tesfaye Getachew; Heather J Huson; Maria Wurzinger; Jörg Burgstaller; Solomon Gizaw; Aynalem Haile; Barbara Rischkowsky; Gottfried Brem; Solomon Antwi Boison; Gábor Mészáros; Ally Okeyo Mwai; Johann Sölkner
Journal:  BMC Genet       Date:  2017-08-24       Impact factor: 2.797

8.  Development of a genetic tool for product regulation in the diverse British pig breed market.

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
Journal:  BMC Genomics       Date:  2012-11-15       Impact factor: 3.969

  8 in total

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