Nina Moravčíková

Dr. Nina Moravčíková

Institute of Nutrition and Genomics (FAaFR), Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 94976 Nitra, Slovakia

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 December 2022 in Livestock Science
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Journal Article
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RKRadovan Kasarda
Radovan Kasarda
Nina MoravčíkováNina Moravčíková
Nina Moravčíková
GMGábor Mészáros
Gábor Mészáros
MSMojca Simčič
Mojca Simčič
DZDaniel Zaborski
Daniel Zaborski

31 December 2019 in Czech Journal of Animal Science
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Journal Article
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Nina MoravčíkováNina Moravčíková
Nina Moravčíková
RKRadovan Kasarda
Radovan Kasarda
LVLuboš Vostrý
Luboš Vostrý
ZKZuzana Krupová
Zuzana Krupová
EKEmil Krupa
Emil Krupa
JGJozef Golian
Jozef Golian
Analysis of selection signatures in the beef cattle genome | Nina Moravčíková, Radovan Kasarda, Luboš Vostrý, Zuzana Krupová, Emil Krupa, Kristína Lehocká, Barbora Olšanská, Anna Trakovická, Rudolf Nádaský, Radoslav Židek, Ľubomír Belej, Jozef Golian | Agricultural Journals

3 October 2023 in Animal Genetics
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Journal Article
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Eymen DemirEymen Demir
Eymen Demir
Nina MoravčíkováNina Moravčíková
Nina Moravčíková
SKsarp kaya
sarp kaya
RKRadovan Kasarda
Radovan Kasarda
UBUmit Bilginer
Umit Bilginer
TKTaki Karsli
Taki Karsli
Via long‐term natural and artificial selection pressure, homozygosity may extend across the genome, leaving genomic patterns called selection signatures. This study is the first attempt to assess genome‐wide selection signatures in six native Turkish and two cosmopolitan cattle breeds by 211.119 bi‐allelic SNPs recovered using the double digest restriction associated DNA sequencing method. The integrated haplotype score (iHS) statistic was utilised to reveal selection signatures within populations, whereas the cross‐population extended haplotype homozygosity (XP‐EHH) and fixation index (FST) approaches were preferred to reveal differently fixed genomic regions between native Turkish and cosmopolitan cattle breeds. Selection signatures in 142 genomic regions containing 305 genes were detected within eight cattle breeds by iHS statistics. The XP‐EHH and FST approaches revealed that 197 and 114 SNPs were under selection pressure, respectively, which overlapped with 144 and 190 genes, respectively. A total of 18 genes were detected by at least two approaches. Six genes related to disease resistance (TTP2), meat yield (DIAPH3 and METTL21C), meat quality (ZNF24 and ZNF397) and first calving interval (ZSCAN30) turned out to be differently fixed between native Turkish and cosmopolitan cattle breeds, as they were identified by both XP‐EHH and FST approaches. In addition, the iHS approach revealed that eight genes associated with visual modality (LSGN), olfaction (MOXD2, OR4C1F and OR4C1F), and immune response (TRBV3‐1 and CLDN10) were under selection pressure in both native and cosmopolitan cattle breeds. Owing to their being significantly related to survival traits, these regions may have played a key role in cattle genome evolution. Future studies utilising denser genetic data are required to obtain deeper knowledge on effects of natural and artificial selection in Anatolian cattle breeds. © 2023 Stichting International Foundation for Animal Genetics.

10 December 2021 in Genes
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EKEmil Krupa
Emil Krupa
Nina MoravčíkováNina Moravčíková
Nina Moravčíková
ZKZuzana Krupová
Zuzana Krupová
EŽEliška Žáková
Eliška Žáková
Herein, the genetic diversity of the local Přeštice Black-Pied pig breed was assessed by the simultaneous analysis of the pedigree and single nucleotide polymorphism (SNP) data. The information about sire line, dam, date of birth, sex, breeding line, and herd for 1971 individuals was considered in the pedigree analysis. The SNP analysis (n = 181) was performed using the Illumina PorcineSNP60 BeadChip kit. The quality of pedigree and SNPs and the inbreeding coefficients (F) and effective population size (Ne) were evaluated. The correlations between inbreeding based on the runs of homozygosity (FROH) and pedigree (FPED) were also calculated. The average FPED for all animals was 3.44%, while the FROH varied from 10.81% for a minimum size of 1 Mbp to 3.98% for a minimum size of 16 Mbp. The average minor allele frequency was 0.28 ± 0.11. The observed and expected within breed heterozygosities were 0.38 ± 0.13 and 0.37 ± 0.12, respectively. The Ne, obtained using both the data sources, reached values around 50 animals. Moderate correlation coefficients (0.49–0.54) were observed between FPED and FROH. It is necessary to make decisions that stabilize the inbreeding rate in the long-term using optimal contribution selection based on the available SNP data.

25 May 2022 in Animals
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MMMária Mészárosová
Mária Mészárosová
GMGábor Mészáros
Gábor Mészáros
Nina MoravčíkováNina Moravčíková
Nina Moravčíková
IPIvan Pavlík
Ivan Pavlík
MMMilan Margetín
Milan Margetín
RKRadovan Kasarda
Radovan Kasarda
This study explored the genomic diversity and selection signatures in two Slovakian national breeds, the Original Valachian and the Improved Valachian sheep. As they are an important animal genetic resource within the country, but with decreasing population size, our aim is to identify potentially valuable genomic regions. A total of 97 sheep (18 male and 79 female) from the Original Valachian, and 69 sheep (25 male and 44 female) from the Improved Valachian populations were genotyped using the GeneSeek GGP Ovine 50 K chip. The inbreeding levels were assessed with runs of homozygosity (ROH). The selection signatures within breeds were identified based on the top 1% of most homozygous regions within the breed, the so-called ROH islands. The selection signatures between breeds were assessed based on variance in linkage disequilibrium. Overall, we have identified selection signatures with quantitative trait loci (QTL) and genes pointing towards all three production purposes of the Valachian sheep, milk, meat, and wool, including their quality characteristics. Another group with apparent large importance was the various traits related to health and resistance to parasites, which is well in line with the sturdy nature of this breed.

6 March 2015 in Potravinarstvo Slovak Journal of Food Sciences
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Journal Article
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RKRadovan Kasarda
Radovan Kasarda
Nina MoravčíkováNina Moravčíková
Nina Moravčíková
ATAnna Trakovická
Anna Trakovická
GMGábor Mészáros
Gábor Mészáros
OKOndrej Kadlečí­k
Ondrej Kadlečí­k
The aim of this study was to identify the evidence of recent selection based on estimation of the integrated Haplotype Score (iHS), population differentiation index (FST) and characterize affected regions near QTL associated with traits under strong selection in Pinzgau cattle. In total 21 Austrian and 19 Slovak purebreed bulls genotyped with Illumina bovineHD and bovineSNP50 BeadChip were used to identify genomic regions under selection. Only autosomal loci with call rate higher than 90%, minor allele frequency higher than 0.01 and Hardy-Weinberg equlibrium limit of 0.001 were included in the subsequent analyses of selection sweeps presence. The final dataset was consisted from 30538 SNPs with 81.86 kb average adjacent SNPs spacing. The iHS score were averaged into non-overlapping 500 kb segments across the genome. The FST values were also plotted against genome position based on sliding windows approach and averaged over 8 consecutive SNPs. Based on integrated Haplotype Score evaluation only 7 regions with iHS score higher than 1.7 was found. The average iHS score observed for each adjacent syntenic regions indicated slight effect of recent selection in analysed group of Pinzgau bulls. The level of genetic differentiation between Austrian and Slovak bulls estimated based on FST index was low. Only 24% of FST values calculated for each SNP was greather than 0.01. By using sliding windows approach was found that 5% of analysed windows had higher value than 0.01. Our results indicated use of similar selection scheme in breeding programs of Slovak and Austrian Pinzgau bulls. The evidence for genome-wide association between signatures of selection and regions affecting complex traits such as milk production was insignificant, because the loci in segments identified as affected by selection were very distant from each other. Identification of genomic regions that may be under pressure of selection for phenotypic traits to better understanding of the relationship between genotype and phenotype is one of the challenges for livestock genetics.