SSR-fi ngerprinting and estimation of genetic relationship of peach varieties of Nikita botanical gardens’ modern breeding

By using of polymorphism analysis of microsatellite loci, DNA fi ngerprinting and an estimation of the degree of genetic similarity for a set of 20 modern peach varieties breeding of Nikita botanical garden were performed. The studied varieties are contributed for horticulture, agro-climatic conditions of the region and valuable for breeding interest as sources of useful adaptive traits. To analyze the polymorphism of studied varieties 13 SSR-markers were used: BPPCT025, CPPCT044, BPPCT007, CPPCT006, UDP96-018, BPPCT023, UDP98-410, CPPCT040, UDP98-409, BPPCT017, BPPCT028, UDP98-412 and BPPCT002. Markers were distributed in multiplex sets, which include from 3 to 4 markers. Optimal combinations of SSR-markers made it possible to obtain easily interpreted results during fragment analysis. Among the SSR markers used, the highest number of alleles (5) was identifi ed to markers BPPCT025 and CPPCT044, the least polymorphic markers were CPPCT040, UDP98-409, BPPCT028 (two alleles per locus) and BPPCT002 - one allele. The remaining SSR-markers revealed 3-4 alleles per locus. Analysis of the obtained DNA fi ngerprints showed that all studied peach varieties possess a unique allelic set. The most polymorphic SSR markers are promising for use in the DNA-fi ngerprinting of peach genetic resources. The cluster analysis revealed three main clusters, the distribution in which, in some cases, is consistent with the origin of the varieties. Genetic similarity data together with data on the origin of varieties can be used for planning of cross combinations as needed to maximize the diversity level in the hybrid offspring.

персик, ДНК-паспортизация, микросателлитные ДНК-маркеры, аллельный полимор- физм, мультиплексный анализ, peach, DNA-fi ngerprinting, microsatellite DNA-markers, allelic polymorphism, genetic relationship, multiplex analysis

1. Исследования выполнены на оборудовании ЦКП «Геномные и постгеномные технологии», ФГБНУ СКФНЦСВВ

2. Смыков А. В., Федорова О. С., Шишова Т. В., Иващенко Ю. А. Селекция персика и ее результаты // Сб. научн. тр. ГНБС, 2015. - Т. 140. - С. 24-33.

3. Aranzana M. J., Abbassi El-K., Howad W., Arus P. Genetic variation, population structure and linkage disequilibrium in peach commercial varieties // BMC Genetics, 2010. - Vol. 11:69. doi: 10.1186/1471-2156-11-69.

4. Zhongping C., Hongwen H. SSR fingerprinting of chinese peach cultivars and landraces (Prunus persica) and analysis of their genetic relationships // Scientia Horticulturae, 2009. - Vol. 120. - P. 188-193.

5. Aranzana M. J., Carbу J., Arus P. Microsatellite variability in peach [Prunus persica (L.) Batsch]: cultivar identifi cation, marker mutation, pedigree inferences and population structure // Theoretical and Applied Genetics, 2003. - Vol. 106. - P. 1341-1352.

6. Dirlewanger E., Cosson P., Tavaud M., Aranzana M. J., Poizat C., Zanetto A., Arús P., Laigret F. Development of microsatellite markers in peach [Prunus persica (L.) Batsch] and their use in genetic diversity analysis in peach and sweet cherry (Prunus avium L.) // Theoretical and Applied Genetics, 2002. - Vol. 125. - P. 127-138.

7. Bouhadida M., Casas A. M., Gonzalo M. J., Arus P., Moreno M. A., Gogorcena Y. Molecular characterization and genetic diversity of Prunus rootstocks // Scientia Horticulturae, 2009. - Vol. 120. - P. 37-245.

8. Супрун И. И., Токмаков С. В., Степанов И. В., Балапанов И. М. Разработка мультиплексных наборов SSRмаркеров для использования в изучении генетического разнообразия в пределах родов Malus, Prunus и Pyrus // Методологическое обеспечение селекции садовых культур и винограда на современном этапе: науч. труды ГНУ СКЗНИИ- СиВ, 2013. - Т. 1. - С. 97-101.