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EN
Apple species and cultivars differ in nuclear (2C) DNA content and ploidy level. The majority of these genotypes are diploids, but there are some triploids and a few tetraploids. Nuclear DNA content is a specific feature and its flow cytometric evaluation can be helpful in differentiating taxa. For many apple genotypes – including all the Polish ones, these characteristics are not known. 2C DNA was evaluated in relation to leaf, flower, fruit, pollen grain and stomata sizes as well as to the flowering time for seventy genotypes (including 46 Polish cultivars) gathered in the gene bank of the Research Institute of Horticulture, Skierniewice, Poland. For standard cultivars with the known chromosome number, 2C value was 1.71 pg for diploid cultivar ‘Alwa’ (2n=2x=34), 2.55 pg for triploid ‘Boskoop’ (3x=51), and 3.37 pg for tetraploid genome (4x=68) of mixoploid ‘McIntosh 2x+4x’. In 61 cultivars (including 41 Polish ones), the nuclear DNA content ranged from 1.58 to 1.78 pg indicating their diploid chromosome number. Five cultivars were identified as triploids (‘Bursztówka Polska’, ‘Pagacz’, ‘Rapa Zielona’, ‘Rarytas Śląski’ and ‘Witos’) owing to their nuclear DNA amount ranging between 2.42 and 2.58 pg. Leaf, flower, fruit, stomata and pollen grain sizes were on average significantly larger in triploids. Thus, in 3x plants the mean leaf surface was 49.1 cm², flower diameter – 52.4 mm, fruit weight – 204.7 g, stomata length – 32.1 μm and pollen grain diameter – 33.7 μm, whereas in diploids – 36.0 cm², 46.1 mm, 162.7 g, 28.4 μm and 30.7 μm, respectively. Pollen grain viability was on average significantly higher in diploids (75.6%), compared to triploids (22%). These results confirm that in apple, as in many other plant species, the higher ploidy level of triploids is generally associated with increased sizes of pollen grains, stomata, flowers, fruits and leaves but decreased pollen viability. No clear correlation between ploidy level and flowering time was found. In the case of mixoploid apple genotypes possessing diploid and tetraploid genomes, some phenotype observation is helpful in describing the ploidy level of the histogenic layers, L1 and L2. Small stomata sizes (similar to diploid) indicate diploid L1 and larger leaf sizes, compared to diploid counterparts, show tetraploid L2. The results will be used for breeding, in which it is important to determine maternal and paternal genotypes as well as the direction of the crossing that is of great importance in obtaining seeds and materials for further selection.
EN
Stomatal cell length was examined in four closely related taxa of sect. Phleum in the genus Phleum (P. nodosum, P. pratense and in two cytotypes of P. commutatum). It was found that the polyploid taxa (P. pratense, 2n = 6x = 42 and P. commutatum, 2n = 4x = 28) have longer stomatal cells than their diploid relatives (P. nodosum, 2n = 2x = 14 and P. commutatum, 2n = 2x = 14). In these two pairs of taxa, stomatal cell length can be a rapid and useful indirect ploidy level indicator and can assist in their identification. Material taken from live and dried specimens of a given taxon did not differ in stomatal cell length, meaning that different cytotypes can be identified from herbarium material as well.
EN
RAPD analysis was applied to nine Bromus species (B. fasciculatus, B. arvensis, B. scoparius, B. hordeaceus, B. squarrosus, B. carinatus, B. willdenowii, B. erectus, B. inermis) belonging to four subgenera: subg. Stenobromus, subg. Bromus, subg. Ceratochloa, and subg. Festucaria. With 10 out 13 primers a considerable degree of polymorphism was detected at the interspecific level, and some bands obtained with these primers appeared to be species-specific. The RAPD band distribution and genetic relationships between different Bromus species and subgenera were analyzed. No bands common to all analyzed species were discovered, but some of the amplified DNA fragments were common to all taxa belonging to the same subgenera or even different ones. The divisions suggested by taxonomists generally were confirmed by numerical analysis of the RAPD data presented here.
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