Genetic variation and relationship of alfalfa populations and their progenies based on RAPD markers

Abstract

AbstractThe aim of investigation was to evaluate genetic variation and relationship among alfalfa populations and their offspring, with minimal cost, by using DNA marker analysis. RAPD analysis was performed on bulked DNA samples of five alfalfa parental populations and their progenies: 20 F1 populations from reciprocal diallel crosses and five S1 populations from self-pollination. Twenty primers generated 217 bands, ranging in size from 300 to 6000 bp, with the average number of bands per primer of 10.85 and polymorphism information content of 0.246. Percentage of polymorphic loci, effective number of alleles, expected heterozygosity and Shannon’s information index were used to estimate genetic variation. Higher diversity was observed in F1 progeny populations, while genetic variation in parental populations and S1 progenies remained similar. The genetic relatedness of alfalfa populations was analysed by UPGMA and Bayesian model-based clustering approach. In both types of analysis selfpollinated progenies were grouped. Furthermore, the hybrid offspring where Zuzana, and RSI 20 were maternal parents were placed in separate groups. The results indicate that use of RAPD markers on bulked DNA samples can be fast and cost-effective way for differentiation of alfalfa parental populations and their offspring, as well as for evaluation of their genetic relationships.