Common bean (Phaseolus vulgaris L.) is legume crop of worldwide importance and due to optimal content of proteins and other essential compounds it has a potential as a functional food. Genetic diversity studies are significant from the point of obtaining information important for breeding process. The goal of present work was to analyze genetic diversity among 34 genotypes of common bean from different countries using 5 SCoT (Start Codon Targeted) markers. Altogether 82 DNA fragments were amplified, out of which 66 fragments were polymorphic with an average of 11 polymorphic fragments per primer. The highest number of polymorphic fragments was detected by marker SCoT 59 (15). The percentage of polymorphism ranged from 57.17% (SCoT 2) to 78.57% (SCoT 19) with an average of 67.3%. PIC values varied from 0.719 (SCoT 19) to 0.886 (SCoT 3) and average PIC value was 0.802. The DI values varied between 0.722 (SCoT 19) and 0.888 (SCoT3), with an average of 0.804. The dendrogram of 34 genotypes of common bean, constructed based on hierarchical cluster analysis separated genotypes into two clusters (I and II). Cluster I was formed by two subclusters. Thirty-three genotypes were included in cluster I and genotype Albena (Slovak Republic), which significantly differed from other genotypes in seed size was included in cluster II. Obtained results support the effectiveness of SCoT markers in the analysis of common bean useful for genotypes differentiating and assessment of genetic diversity in the set of common bean germplasm.
Knowledge about the genetic diversity of the available common bean germplasm can help breeders properly direct the choice of genetic material in the breeding process. The aim of the present work was to estimate the usefulness of 10 RAPD and 10 SCoT markers in genetic diversity detection among 33 common bean genotypes. Both molecular marker systems were able to generate high levels of polymorphism in the genetic material, which was supported by the relatively high polymorphic information content (PIC) values observed for the used markers. The Diversity Detection Index (DDI) and Marker Index (MI) were used to compare the effectiveness of RAPD and SCoT markers. For both techniques, high values of MI and DDI were calculated, representing their effectivity. The SCoT markers showed higher values of the parameters used (MI = 7.474, DI = 2.265) than the RAPD markers (MI = 5.323, DDI = 1.612), indicating their higher efficiency in the detection of molecular variability. Three constructed dendrograms and PCoA plots were created using RAPD and SCoT, and both methods combined confirmed sufficient separation of the bean genotypes from each other. At the same time, a higher efficiency of SCoT markers compared to RAPD markers in the detection of the genetic diversity of beans was also proven. The results may be of future interest in the choice of genetically distant material for breeding purposes.
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