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In this study, the genetic diversity and differentiation of 10 natural Prunus pseudocerasus Lindl. populations were investigated using intersimple sequence repeat (ISSR) markers. Totally, 18 selected primers generated 150 loci, with an average of 8.33 bands per primer. The results showed that the percentage of polymorphic bands (PPB) was pretty low at the population level (PPB = 1.13-32%), but relatively high at the species level (PPB = 84%). Besides, a high level of genetic differentiation among populations was detected based on the gene differentiation coefficient (G ST = 0.7118) and the hierarchical analysis of molecular variance (AMOVA) (U ST = 64.53%, P \ 0.001), in line with the low inter-population gene flow (N m = 0.2025). Moreover, Mantel test revealed a significant correlation between genetic and geographic distances among the populations (r = 0.5272, P \ 0.005). The high level of intraspecific genetic diversity was probably related with its life history traits, while its small population size and the resultant high levels of genetic drift and inbreeding might explain the low genetic diversity within populations. The relatively high inter-population genetic differentiation was largely attributed to its small population size, habitat fragmentation, the mode of pollen and seed dispersal, and geographic isolation. Based on the present study, conservation strategies were proposed to preserve this valuable natural germplasm resource.

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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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