Molecular identification and genetic analysis of cherry are necessary for solving the problem of synonyms and homonyms that occur in cherry production. In this study, capillary electrophoresis with fluorescent-labeled simple sequence repeat (SSR) primers was used to identify 63 cherry cultivars (varieties and rootstocks) planted in Shaanxi province, China. A total of 146 alleles were amplified by 10 SSR primer pairs, ranging from 10 to 20 per locus (mean: 14); among the SSR primer pairs, genotype number ranged from 12 to 26 (mean: 18). The mean values of gene diversity, heterozygosity, and polymorphism information content were 0.7549 (range 0.4011–0.8782), 0.5952 (range 0.3810–0.9683), and 0.7355 (range 0.3937–0.8697), respectively. An unweighted pair-group method with arithmetic average cluster analysis was used to separate the cherry cultivars. A model-based structure analysis separated the cultivars into three populations, which was consistent with the results of a phylogenic and principal component analysis. Based on Bayes’ rule, the cultivars were further subdivided into seven populations. Some of the 63 cherry cultivars that are often confused in production were distinguished, and DNA fingerprinting of cherry cultivars was established. This research will significantly assist in the identification of cherry cultivars at the molecular level.
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This study was supported by the international science and technology cooperation project between China and Hungary: “Cooperative research to determine high quality and resistance in the selection of new cherry varieties, and the development of intensive culture and processing techniques (2016YFE0130900)”. The authors thank Dr. Wei Liang for her guidance regarding data analysis and Dr. Jianlong Liu for his editing of the manuscript.
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Liang, C., Wan, T., Xu, S. et al. Molecular identification and genetic analysis of cherry cultivars using capillary electrophoresis with fluorescence-labeled SSR markers. 3 Biotech 8, 16 (2018). https://doi.org/10.1007/s13205-017-1036-7