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Validation of Pedigree Relationships Using a Multiplex Microsatellite Marker Assay in Iranian Holstein Cattle / Walidacja rodowodów irańskiego bydła holsztyńskiego przy użyciu analizy multipleks markerów mikrosatelitarnych Cover

Validation of Pedigree Relationships Using a Multiplex Microsatellite Marker Assay in Iranian Holstein Cattle / Walidacja rodowodów irańskiego bydła holsztyńskiego przy użyciu analizy multipleks markerów mikrosatelitarnych

Open Access
|Aug 2013

Abstract

In the present study, the pedigree and genotype data of 94 individuals were examined for accuracy of parentage allocations and identity test using 12 fluorescent-labelled microsatellite markers in a highly sensitive and accurate ABI system. The panel of 12 markers showed mean PIC value of 0.71 and Shannon index of 1.65 and 7.58 alleles per locus, which suggests that these markers are highly polymorphic and could be useful for parentage control. Based on scoring allele sizes, a total of 91 alleles were observed within the studied population. The highest and lowest number of alleles was observed for TGLA227 locus and TGLA126 and BM1818 loci, respectively. The pedigree was considered incorrect in seven (35%) out of all the evaluated progeny, as their genotype did not match their parents. Combined EP value obtained for all loci in both parentage and identification analysis was 0.99, which indicates the high efficiency of the studied marker set and the accuracy of genotyping in ABI systems. Finally, the present findings confirmed the importance of surveying the pedigree structure and efficiency of 12 fluorescent-labelled microsatellite markers in a single multiplex PCR for parentage testing in the sampled Holstein cattle population.

DOI: https://doi.org/10.2478/aoas-2013-0042 | Journal eISSN: 2300-8733 | Journal ISSN: 1642-3402
Language: English
Page range: 481 - 493
Published on: Aug 1, 2013
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2013 Mona Hashemi, Cyrus Amirinia, Mohammad Taher Harkinezhad, Mohammad Hossein Banabazi, Arash Javanmard, Fateme Amiri, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons License.