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EN
This isoenzymatic and cytogenetic study has shown significant differences in genetic composition between two groups of Pinus sylvestris trees: tolerant and sensitive to heavy metal pollution. Total and mean numbers of alleles and genotypes per locus were higher in the pollution-sensitive group of trees, but heterozygosity (Ho) was lower in this group. Fixation index (F) indicates that trees tolerant for pollution were in the Hardy-Weinberg equilibrium, while the sensitive group had a significant excess of homozygosity. Cytological analyses demonstrated numerous aberrations of chromosomes in meristematic root tissue of seedlings developed from seeds collected from trees in the polluted area. The aberrations included chromosome bridges and stickiness, laggards, retarded and forward chromosomes, and their fragments. The mitotic index was markedly lower in this group of seedlings, as compared to the control. Both isoenzymatic and cytological analyses showed a significant influence of heavy metal ions on the genetic structure of the Pinus sylvestris population.
EN
The distinctness, uniformity and stability (DUS) requirements involve expensive, space- and time-consuming measurements of morphological traits. Moreover, for a majority of traits, interactions between genotype and environment complicate the evaluation. Molecular markers have a potential to facilitate this procedure, increase the reliability of decisions, and substantially save the time and space needed for experiments. We chose 25 varieties of pea (Pisum sativum L.) from the list of recommended varieties for cultivation in the Czech Republic, and made both a standard classification by 12 morphological descriptors and a classification by biochemical-molecular markers. Two isozyme systems, 10 microsatellite loci, 2 retrotransposons for multilocus inter-retrotransposon amplified polymorphism (IRAP), and 12 retrotransposon-based insertion polymorphism (RBIP) DNA markers were analysed. The main objective of the study was to examine the potential of each method for discrimination between pea varieties. The results demonstrate a high potential and resolving power of DNA-based methods. Superior in terms of high information content and discrimination power were SSR markers, owing to high allelic variation, which was the only biochemical-molecular method allowing clear identification of all varieties. Retrotransposon markers in RBIP format proved to be the most robust and easy to score method, while multilocus IRAP produced informative fingerprint already in a single analysis. Isozyme analysis offered a fast and less expensive alternative. The results showed that molecular identification could be used to assess distinctness and complement morphological assessment, especially in cases where the time frame plays an important role. Currently developed pea marker systems might serve also for germplasm management and genetic diversity studies.
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