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February 2016, № 2 (190)



Prishnivskaya Ya.V., Nechaeva Yu.S., Krasilnikov V.P., Boronnikova S.V. MOLECULAR GENETIC OF FOUR POPULATIONS PINUS SYLVESTRIS L. IN THE EAST OF THE RUSSIAN PLAIN BASED ON POLYMORPHISM ISSR-MARKERSTo solve modern problems of conservation and restoration of forests requires assessment of biodiversity in forest ecosystems, an important element of which is the study of the genetic diversity of populations of main forest-forming species, one of which is Scots pine (Pinus sylvestris L.). Population genetic studies of P. Sylvestris held, mostly on the basis of isozyme analysis, and using polymorphism analysis of DNA markers, such as ISSR-markers, studies are rare and performed only in artificial plantations. Molecular genetic analysis is carried out in four populations of P. Sylvestris L., located in the east of the Russian Plain. It revealed 125 ISSR-markers, of which 120 were polymorphic (P95 = 0.960). It was established that studied in the east of the Russian Plain four populations are characterized by a high level of genetic diversity (P95 = 0.960; He = 0.159; ne = 1.543), while the largest values of the studied parameters are noted in PsIV population (P95 = 0.783; He = 0.211; ne = 1.367) and the smallest — in PsIII (P95 = 0.553; He = 0.101; ne = 1.157). The studied population is strongly differentiated, as the inter-population component accounted 50.14 % of genetic diversity. The study of population genetic structure using the program STRUCTURE 2.3.4 identified a clear correspondence between the clusters of genotypes and populations studied. Thus, the analysis of polymorphism ISSR-markers can effectively assess the genetic diversity and differentiation of P. Sylvestris, the need for sustainable forest management.Key words: genetic diversity, DNA polymorphism, ISSR-markers, the gene pool of populations, Pinus sylvestris L.

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References:

1. Vidyakin AI spatial organization and factors of population groups of Scots pine in the Southern Trans-Urals // AI Vidyakin, GY Cantor / Bulletin of the Orenburg State University. — 2013. — №10. — S. 34-39.

2. VV Tarakanov variability of structure, selection and seed-growing pine in Siberia. Diss..... Dr. c. / s. Sciences. Novosibirsk Institute of Forest SB RAS, 2003. — 454 p.

3. Vidyakin AI Population structure of Scots pine in the east of the European part of Russia: Author. Dis.... Dr. biol. Sciences. Ekaterinburg, 2004. — 48 p.

4. Goncharenko GG A study of the genetic structure and differentiation levels in Pinus sylveslris L. in central and marginal populations of Eastern Europe and Siberia // GG Goncharenko, AE Silin VE Fall / Genetics. — 1993. — T. 29, №12. — S. 2019-2036.

5. Petrova EA Genetic diversity and differentiation of populations of Siberian cedar on the southern boundary of the area in the plains of Western Siberia // EA Petrov, SN Velisevich, Belokon MM, Belokon Yu S., D. B. polities SN Goroshkevich / Ecological genetics. -2014. — T.XXII. №1. — P. 48-61.

6. Rogers S.O. Extraction of DNA from milligram amounts of fresh, herbarium and mummified plant tissues // S.O. Rogers, A.J. Bendich / Plant Molecular Biology. — 1985. — Vol. l. №19. — P. 69-76.

7. Nechayev Yu Optimization of DNA extraction methods of some coniferous species of plants of Perm Region // YS Nechayev [and others] / Proceedings of the international conference "Knowledge Synthesis in the natural sciences. Rudnik future: projects, technologies and equipment. " — Perm, 2011. — S. 278 — 282.

8. Zietkiewicz E. Genome fingerprinting by simple sequence repeat (SSR) -anchored polymerase chain reaction amplification // E. Zietkiewicz, A. Rafalski, D. Labuda / Genomics. — 1994. — V. 20. — P. 176-183.

9. Boronnikova S., R. Calendar IRAP-use method for the analysis of genetic variability of the resource, and rare species of plants // Genetics. — 2010. — T.46, №1 — S. 44-50 (Boronnikova, SV, Kalendar ', RN Using IRAP markers for analysis of genetic variability in populations of resource and rare species of plants // Genetika — 2010 — 46 (1), — P. 44-50).

10. Boronnikova SV Molecular genetic analysis and assessment of gene pools of resource species of plants of Perm region: monograph. Perm. state. nat. issled. Univ. Perm, 2013. 223 p.

11. Yeh F.C. POPGENE, the Microsoft Windows-based user-friendly software for population genetic analysis of co-dominant and dominant markers and quantitative traits / F.C. Yeh, R.C. Young, J. Mao et al. — Department of Renewable Resources, Univ. of Alberta, Edmonton. Alta, 1999. — 238p.

12. Peakall R. GenAlEx6: Genetic analysis in Excel. Population genetic software for teaching and research // R. Peakall, P.E. Smouse / Mol. Ecol. Not. — 2006. — V. 6. — P. 288-295.

13. Williams J.G.K. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers // J.G.K. Williams, A.R. Kubelik, K.J. Livak et al. / Nucl. Acids Res. — 1990. — V. 18. — P. 6531-6535.

14. Kimura M. The number of alleles that can be maintained in a finite population // M. Kimura, J.F. Crow / Genetics (US). — 1964. — V. 49. — P. 725-738.

15. Nei M. Molecular Evolutionary Genetics / M. Nei. — New York: Columbia University Press, 1987. — 512r.

16. Nei M. Molecular population genetics and evolution. / M. Nei. — Amsterdam, 1975. — 278 p.17. Falush D. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies // D. Falush, M. Stephens, J.K. Pritchard / Genetics. — 2003. — Vol. 164. — P. 1567-1587.

18. Smulders M.J.M. Trinucleotide repeat microsatellite markers for black poplar (Populus nigra L.) // M.J.M. Smulders, J. van der Schoot, P. Arens / Mol. Ecol. Notes. — 2001. — Vol. 1. — P. 188-190.

19. Evanno G. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study // G. Evanno, S. Regnaut, J. Goudet / Mol. Ecol. — 2005. — Vol. 14. — P. 2611-2620.

20. Earl A. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method // A. Earl, M.von Holdt / Conservation Genetics Resources. — 2012. — Vol. 4 (2). — P. 359-361.

21. Hubisz M.J. In ferring weak population structure with the assistance of sample group information // M.J. Hubisz, D. Falush, M. Stephens, J.K. Ritchard / Mol. Ecol. Resources. — 2009. — V. 9, — P. 1322-1332.

22. Dent A.E., vonHoldt, (2012): STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. // A. E. Dent, B.M. vonHoldt / Conservation Genetics Resources. — 2012. — №4 — P. 359-361.


About this article

Authors: Prishnivskaya Ya.V., Nechaeva Yu.S., Krasilnikov V.P., Boronnikova S.V.

Year: 2016


Editor-in-chief
Sergey Aleksandrovich
MIROSHNIKOV

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