Year 2018, Volume 3, Issue 1

Year : 2018
Volume : 3
Issue : 1
   
Authors : Anna TRAKOVICKÁ, Nina MORAVČÍKOVÁ, Rudolf NÁDASKÝ, Radovan KASARDA
Title : POLYMORPHISMS IN CANDIDATE GENES FOR BEEF QUALITY IN PINZGAU CATTLE
Abstract : The aim of present study was to identify the polymorphisms in genes encoding calpastatin (CASTUoG), calpain (CAPN1, CAPN2), diacylglycerol O-acyltransferase (DGAT1), thyroglobulin (TG5), and Stearoyl-CoA Desaturase (SCD) in order to analyse genetic structure of Pinzgau cattle. The genomic DNA for genotyping was obtained from in total 56 blood samples of Pinzgau bulls. After extraction, the concentration of DNA was controlled by the spectrophotometry measurement. The genotyping of each individual was carried out by using PCR-RFLP methods. The average value of observed (0.37±0.05) and expected heterozygosity (0.39±0.06) clearly indicated the prevalence of homozygous individuals. Observed Wright's fixation indexes showed positive values across all loci (0.03±0.06), which confirmed slight deficiency of heterozygote animals compared to the Hardy-Weinberg equilibrium expectations. The Hardy-Weinberg equilibrium was found in population, which signalizes only slight impact of factors such as selection, migration or inbreeding. The effectiveness of loci allele impact in populations has been described also by effective allele numbers (1.68±0.13) that expressed the decrease of allele activity in population. The loss of heterozygosity in analysed population was found across all of genetic markers. Each of the evaluated indicators clearly points to the need of genetic diversity monitoring. Moreover, the analyses of single nucleotide polymorphisms in genes significantly involved in control of economically important production traits are still very usable methods for identification of genetic markers that can be used in marker assisted selection of cattle.
For citation : Trakovická, A., Moravčíková, N., Nádaský, R., Kasarda, R. (2018). Polymorphisms in candidate genes for beef quality in Pinzgau cattle. AGROFOR International Journal, Volume 3. Issue No. 1. pp. 5-10. DOI: 10.7251/AGRENG1801005T
Keywords : cattle, genetic markers, meat quality, SNPs genotyping
   
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