Assessment of genetic diversity of Czech sweet cherry cultivars using microsatellite markers. (December 2015)

• Record Type: Journal Article
• Authors: Sharma, Kamal; Xuan, Haibo; Sedlák, Petr
• Is Part Of: Biochemical systematics and ecology. Volume 63(2015)
• Page Start: 6
• Page End: 12
• Publication Date: 2015-12
• Subjects: Prunus avium -- Sweet cherry -- Germplasm evaluation -- Microsatellites; Chemotaxonomy -- Periodicals; Biochemical variation -- Periodicals; Ecology -- Periodicals; Biochemistry -- Periodicals; Ecology -- Periodicals; Chimiotaxinomie -- Périodiques; Variation biochimique -- Périodiques; Écologie -- Périodiques; 578.012
• DOI: 10.1016/j.bse.2015.09.013
• Languages: English
• ISSNs: 0305-1978

Abstract

Abstract: We analyzed 24 sweet and wild cherry genotypes collected in Czech Republic to determine genetic variation, using previously described 16 SSR primers to adapt a fast, reliable method for preliminary screening and comparison of sweet cherry germplasm collections. All SSRs were polymorphic and they were able all together to distinguish unambiguously the genotypes. These SSR primers generated 70 alleles; the number of alleles per primer ranged from 2 to 7, with a mean of 4.4 putative alleles per primer combination. The primer UDP-98-412 gave the highest number of polymorphic bands (totally 7), while Empa2 and Empa3 gave the lowest number (2). The allele frequency varied from 2.1% to 87.5%. We observed 10% of unique alleles at different loci. The observed heterozygosity value ranged from 0.25 to 0.96 with an average of 0.72 while expected heterozygosity value varied from 0.22 to 0.75 with an average of 0.59. The PIC value ranged from 0.21 to 0.71 with a mean value of 0.523. Cluster analysis separated the investigated cultivars in two groups. High level of genetic diversity obtained in the collection and proved to be sufficiently genetically diverse and therefore these genotypes would be useful to breeders for the development of new cherry cultivars. Highlights: We revealed genetic diversity in Czech sweet cherry cultivars. Genetic diversity was determined using sixteen microsatellite markers. Our study will be useful in understanding P. avium diversity management.