Large genome size and complexity hamper considerably the genomics research in relevant species. Rye (Secale cereale L.) has one of the largest genomes among cereal crops and repetitive sequences account for over 90% of its length. Diversity Arrays Technology is a high-throughput genotyping method, in which a preferential sampling of gene-rich regions is achieved through the use of methylation sensitive restriction enzymes. We obtained sequences of 6,177 rye DArT markers and following a redundancy analysis assembled them into 3,737 non-redundant sequences, which were then used in homology searches against five Pooideae sequence sets. In total 515 DArT sequences could be incorporated into publicly available rye genome zippers providing a starting point for the integration of DArT- and transcript-based genomics resources in rye. Using Blast2Go pipeline we attributed putative gene functions to 1101 (29.4%) of the non-redundant DArT marker sequences, including 132 sequences with putative disease resistance-related functions, which were found to be preferentially located in the 4RL and 6RL chromosomes. Comparative analysis based on the DArT sequences revealed obvious inconsistencies between two recently published high density consensus maps of rye. Furthermore we demonstrated that DArT marker sequences can be a source of SSR polymorphisms. Obtained data demonstrate that DArT markers effectively target gene space in the large, complex, and repetitive rye genome. Through the annotation of putative gene functions and the alignment of DArT sequences relative to reference genomes we obtained information, that will complement the results of the studies, where DArT genotyping was deployed, by simplifying the gene ontology and microcolinearity based identification of candidate genes.

Random Amplified Polymorphic DNA (RAPD) analysis was carried out on 19 Azerbaijan tomato genotypes, both cultivars and local populations. A total of 26 amplified products were revealed by 6 primers. The genetic similarity among evaluated genotypes ranged from 0.188 to 1.000. The lowest similarity was observed between cultivars ‘Azerbaijan’ and ‘Shakar’ (0.188), while the highest between ‘Elnur’ and ‘Garatag’ (1.000). The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster analysis based on Jaccard’s similarity coefficient divided genotypes into four main groups. The first group was the largest and consisted of 12 genotypes, while the fourth group was the smallest consisted of 1 genotype only. The most polymorphic primer was OPB-18 that presented a genetic diversity index of 0.823, while the least informative was primer OPG-17 with an index of 0.349. The average genetic diversity calculated from RAPD data was 0.665.

The genetic relationships among 48 melon (Cucumis melo L.) genotypes collected from various parts of Azerbaijan were determined by comparing their phenotypic and molecular traits. Eleven agromorphological traits and 10 polymorphic inter-simple sequence repeat (ISSR) primers were used to define the genetic diversity. Principal component analysis grouped the agromorphological traits into the first four axes, describing 78% of the total variations. The highest genetic variation coefficient was found for yield per hectare (20.32%) and for fruit length (17.35%). Calculated heritability for yield was 0.96. The analysis of morphological traits grouped the accessions into four clusters. The 10 ISSR primers yielded 35 polymorphic alleles, representing 85.4% of all the amplified loci. The average genetic diversity index determined was 0.70. The highest and the lowest similarity indexes were equal to 0.97 and 0.36, respectively. The 48 accessions were grouped into 10 clusters based on ISSR markers. Correlation between distance matrices based on agromorphological traits and ISSR markers was not statistically significant (r = 0.012).

The article presents the results of a study of genetic polymorphism for the first time carried out on pomegranate varieties and forms of Azerbaijan origin using molecular markers. In total, 102 PCR fragments were identified, of which 80 were polymorphic. The high level of polymorphism (75.5%) and the rich genetic diversity were identified among the studied pomegranate collection. As a result of data analysis and on the basis of the values of the basic parameters (PIC, EMR, MI, RP, MRP) determining informativeness of markers, all 14 ISSR primers were suitable for genotyping pomegranate accessions. The most effective markers (UBC808, UBC811, UBC834, and UBC840) were identified among the set of primers tested. A dendrogram was constructed on the basis of the data obtained, which made it possible to group genotypes into 16 major clusters. The genetic similarity index ranged from 0.032 to 0.94. The study of the genetic relationship of different pomegranate varieties confirms the effectiveness of the ISSR method, which makes it possible to determine the level of genetic diversity, as well as to establish the relationship among the studied pomegranate accessions.