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Žiarovská J, Kyseľ M, Cimermanová R, Knoteková Ľ. Effect of DNA extraction in the Rosa canina L. identification under different processing temperature. POTRAVINARSTVO 2017. [DOI: 10.5219/717] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Rosa canina, L. is widely used for medicinal purposes as well as in food industry where it is a valuable source, bioactive compounds and natural colorants. Actually, no specific method is recommended as suitable one for DNA extraction from rose hips. The aim of the study was to compare three commercial and three non-commercial methods to extract total genomic DNA from rose hips hyphanthium. Four methods are based on the precipitation in principle and two methods are based on resin-binding. Extracted DNA was proved for the effectivity in following PCR. In total, six different DNA isolations was performed for differently heat processes rose hips - fresh hyphanthium, 2-weeks frozen hyphanthium, dried hyphanthium (50 °C) and boiled hyphanthium (100 °C). The amplification parameters of 500 bp chloroplast gene amplicon were evaluated. Obtained amounts of extracted DNA was very variable not only for every individual method used but for individual treatment of samples, too. In general, non-commercial method provided higher amount of extracted DNA, but the A260/280 ratio was lower. When regarding the processing treatment of the samples, high differences were found among the samples untreated by heat and those that were dried or boiled for three of the used extraction methods. All the samples were positive for amplification, but different amounts of amplified product were obtained. The comparison of data for concentrations of extracted DNA and concentrations of amplified product showed large differences when regarding the achieved purity of DNA in extraction.
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Vivodík M, Gálová Z, Balážová Ž, Petrovičová L. Genetic variation of european maize genotypes (Zea mays L.) Detected using ssr markers. POTRAVINARSTVO 2017. [DOI: 10.5219/697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The SSR molecular markers were used to assess genetic diversity in 40 old European maize genotypes. Ten SSR primers revealed a total of 65 alleles ranging from 4 (UMC1060) to 8 (UMC2002 and UMC1155) alleles per locus with a mean value of 6.50 alleles per locus. The PIC values ranged from 0.713 (UMC1060) to 0.842 (UMC2002) with an average value of 0.810 and the DI value ranged from 0.734 (UMC1060) to 0.848 (UMC2002) with an average value of 0.819. 100% of used SSR markers had PIC and DI values higher than 0.7 that means high polymorphism of chosen markers used for analysis. Probability of identity (PI) was low ranged from 0.004 (UMC1072) to 0.022 (UMC1060) with an average of 0.008. A dendrogram was constructed from a genetic distance matrix based on profiles of the 10 maize SSR loci using the unweighted pair-group method with the arithmetic average (UPGMA). According to analysis, the collection of 40 diverse accessions of maize was clustered into four clusters. The first cluster contained nine genotypes of maize, while the second cluster contained the four genotypes of maize. The third cluster contained 5 maize genotypes. Cluster 4 contained five genotypes from Hungary (22.73%), two genotypes from Poland (9.10%), seven genotypes of maize from Union of Soviet Socialist Republics (31.81%), six genotypes from Czechoslovakia (27.27%), one genotype from Slovak Republic (4.55%) and one genotype of maize is from Yugoslavia (4.55%). We could not distinguish 4 maize genotypes grouped in cluster 4, (Voroneskaja and Kocovska Skora) and 2 Hungarian maize genotypes - Feheres Sarga Filleres and Mindszentpusztai Feher, which are genetically the closest.
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Vivodík M, Gálová Z, Balážová Ž, Petrovičová L. Start codon targeted (scot) polymorphism reveals genetic diversity in european old maize (Zea mays L.) Genotypes. POTRAVINARSTVO 2016. [DOI: 10.5219/660] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Maize (Zea mays L.) is one of the world's most important crop plants following wheat and rice, which provides staple food to large number of human population in the world. It is cultivated in a wider range of environments than wheat and rice because of its greater adaptability. Molecular characterization is frequently used by maize breeders as an alternative method for selecting more promising genotypes and reducing the cost and time needed to develop hybrid combinations. In the present investigation 40 genotypes of maize from Czechoslovakia, Hungary, Poland, Union of Soviet Socialist Republics, Slovakia and Yugoslavia were analysed using 20 Start codon targeted (SCoT) markers. These primers produced total 114 fragments across 40 maize genotypes, of which 86 (76.43%) were polymorphic with an average of 4.30 polymorphic fragments per primer and number of amplified fragments ranged from 2 (SCoT 45) to 8 (SCoT 28 and SCoT 63). The polymorphic information content (PIC) value ranged from 0.374 (ScoT 45) to 0.846 (SCoT 28) with an average of 0.739. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm was prepared. The hierarchical cluster analysis showed that the maize genotypes were divided into two main clusters. Unique maize genotype (cluster 1), Zuta Brzica, originating from Yugoslavia separated from others. Cluster 2 was divided into two main clusters (2a and 2b). Subcluster 2a contained one Yugoslavian genotype Juhoslavanska and subcluster 2b was divided in two subclusters 2ba and 2bb. The present study shows effectiveness of employing SCoT markers in analysis of maize, and would be useful for further studies in population genetics, conservation genetics and genotypes improvement.
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Ražná K, Bežo M, Hlavačková L, Žiarovská J, Miko M, Gažo J, Habán M. MicroRNA (miRNA) in food resources and medicinal plant. POTRAVINARSTVO 2016. [DOI: 10.5219/583] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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