Search

Five microsatellite (SSR) markers were used to evaluate the genetic diversity of six Aegilops species from Azerbaijan and Georgia. A total of 39 alleles were generated with an average of 7.8 alleles per primer. Twenty markers were species-specific and 6 were accession-specific. The transferability of SSR markers across six species was 100%, with exception of gwm210. The mean polymorphism information content (PIC) and expected heterozygosity (He) values for the entire collection were 0.688 and 0.725, respectively. The average PIC value was the highest in Ae. biuncialis accessions (0.55). The genetic distance (GD) indices, based on five SSR markers, ranged from 0 to 0.83, with a mean value of 0.47. The highest genetic similarity was noted between Ae. neglecta and Ae. triuncialis (GD = 0.26), and the lowest between Ae. neglecta and Ae. tauschii (GD = 0.66). The dendrogram created based on SSR data grouped 72 Aegilops accessions into six clusters according to their taxonomic classification. The accessions from the same province were often placed in the same subclusters, indicating that grouping based on genetic parameters was closely related to the geographic region within countries. The PCoA analysis could differentiate Aegilops accessions according to their species and confirmed subgrouping obtained by cluster analysis.

A barley core collection can be studied extensively and the derived information can be used to identify loci/genes for the genetic improvement of quantitative and qualitative traits. To assess genetic diversity, allelic variation and population structure of Egyptian barley, 134 barley genotypes collected from a different region along with 19 cultivated genotypes obtained from of the Egyptian Agricultural Research Center. All genotypes were analyzed with 261 polymorphic SSR and SNP alleles. The mean number of alleles per locus was 4 and PIC was 0.49, while the level of genetic diversity was 0.55 ranging from 0.03 to 0.82. The genotypes were assigned to three subpopulations that were consistent with their origins. The genetic variation within population was higher (51%) than among population at the molecular levels (FST = 0.491 when P