Microsatellite-Based Molecular Diversity in Sour Cherry Genotypes (Prunus cerasus L.) Cultivated in Hungary

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Abstract
The aim of this study was to evaluate the genetic diversity of sour cherries using SSR markers, correlate the data with phenotypic traits, and investigate the suitability of Prunus-specific microsatellite markers in this species. Nineteen sour cherry genotypes from the Fruit Research Institute in Érd, Hungary, were analyzed using twelve SSR primer pairs. The number of alleles ranged from two to ten, with a mean value of 4.67 per locus. The highest number of alleles was generated with BPPCT 007. All the primers displayed a polymorphic pattern. The most informative markers, based on the highest PIC values, were CPPCT022, BPPCT041, and BPPCT030. The genotypes were grouped based on flowering time, ripening time, and fruit weight. To determine the correlation, we have performed a regression analysis association with fruit traits and molecular markers. The marker PceGA025 appeared to have an allele size that statistically significantly correlates to flowering and ripening time. Also, BPPCT002, BPPCT007 and UCDCH17 have an allele that significantly correlates to ripening time. Additionally, one of the alleles of UDP 98 410 appeared to be correlated with fruit weight.
Funding Information
  • Hungarian University of Agriculture and Life Sciences

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