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Russian Journal of Genetics

, Volume 51, Issue 12, pp 1213–1220 | Cite as

Genetic variation, population structure, and differentiation in scots pine (Pinus sylvestris L.) from the northeast of the Russian plain as inferred from the molecular genetic analysis data

  • A. I. Vidyakin
  • S. V. Boronnikova
  • Yu. S. Nechayeva
  • Ya. V. Pryshnivskaya
  • I. V. Boboshina
Plant Genetics

Abstract

The DNA polymorphism in Pinus sylvestris L. from Severodvinsk, Upper Vetluga, and Vetluga–Vyatka populations, which were isolated earlier based on specific features of the geographic variation of allometric cone indices, was examined by the ISSR method. It was demonstrated that the Severodvinsk population of P. sylvestris differed from the chorologically adjacent Upper Vetluga population with respect to all of the examined genetic indices, and the Upper Vetluga population differed from the Vetluga–Vyatka population. It was suggested that the main the reason for the lack of statistically significant differences between Upper Vetluga and Vetluga–Vyatka samples of P. silvestris with respect to genetic variation indices (P 95, H E, n a, n e) may be their formation based on the gene pools of two glacial refugia. It was demonstrated that the proportion of the interpopulation component of total genetic diversity (G ST), as calculated based on the ISSR marker polymorphism, reached a value of 0.488, which was an order of magnitude higher than the previous estimates obtained based on data from allozyme analysis. It was concluded that P. sylvestris cone allometric indices reflected the specificity of spatial population subdivision, like the genetic diversity and population genetic structure indices calculated based on ISSR-marker polymorphism. Population isolation and mapping based on two-step phenogenetic studies is suggested.

Keywords

genetic markers intraand interpopulational variability Pinus sylvestris L. 

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References

  1. 1.
    Timofeev-Resovskii, N.V., Yablokov, A.V., and Glotov, N.V., Ocherk ucheniya o populyatsii (An Essay on the Population Theory), Moscow: Nauka, 1973.Google Scholar
  2. 2.
    Shurkhal, A.V., Podogas, A.V., Zhivotovskii, L.A., and Podgornyi, Yu.K., The study of genetic variation in the Crimean pine (Pinus pallasiana Asch., Graebn.), Genetika (Moscow), 1988, vol. 24, no. 2, pp. 311–315.Google Scholar
  3. 3.
    Krutovskii, K.V., Politov, D.V., and Altukhov, Yu.P., Genetic variation of Siberian pine Pinus sibirica Du Tour: 2. The levels of allozyme variation in natural populations of the Western Sayan, Genetika (Moscow), 1988, vol. 24, no. 1, pp. 118–125.Google Scholar
  4. 4.
    Krutovskii, K.V., Politov, D.V., Altukhov, Yu.P., et al., Genetic variation of Siberian pine Pinus sibirica Du Tour: 4. Genetic diversity and degree of genetic differentiation between populations, Genetika (Moscow), 1989, vol. 25, no. 11, pp. 2009–2032.Google Scholar
  5. 5.
    Goncharenko, G.G. and Potenko, V.V., The parameters of genetic variation and differentiation in populations of Norway spruce (Picea abies (L.) Karst.) and Siberian spruce (Picea obovata Ledeb.), Genetika (Moscow) 1991, vol. 27, no. 10, pp. 1759–1772.Google Scholar
  6. 6.
    Goncharenko, G.G., Silin, A.E., and Padutov, V.E., A study of the genetic structure and the level of differentiation in Pinus sylvestris L. in the central and marginal populations of Eastern Europe and Siberia, Genetika (Moscow) 1993, vol. 29, no. 12, pp. 2019–2037.Google Scholar
  7. 7.
    Loveless, M.D. and Hamrick, J.L., Ecological determinants of genetic structure in plant populations, Ann. Rev. Ecol. Syst., 1984, vol. 15, pp. 65–95.CrossRefGoogle Scholar
  8. 8.
    Politov D.V., Allozyme polymorphism, genetic differentiation and mating system of Siberian pine Pinus sibirica Du Tour, Cand. Sci. (Biol.) Dissertation, Moscow: Institute of General Genetics, Academy of Sciences of the Soviet Union, 1989.Google Scholar
  9. 9.
    Svetlakova, T.N., Boboshina, I.V., Nechaeva, Yu.S., and Boronnikova, S.V., Genetic differentiation of the Populus tremula L. populations in the Perm Krai based on the polymorphism of ISSR-markers, Agrar. Vestn. Ural., 2012, no. 3(95), pp. 11–13.Google Scholar
  10. 10.
    Novikov P.S. Use of ISSR-PCR-markers for the study of intraspecific genetic polymorphism of Scots pine at the objects of united genetic-breeding complex, Extended Abstract of Cand. Sci. Dissertation, Ufa, 2013.Google Scholar
  11. 11.
    Vidyakin, A.I., Index-based assessment of features of the population structure of Scots pine, Lesovedenie, 1991, no. 1, pp. 57–62.Google Scholar
  12. 12.
    Vidyakin, A.I., Phens of forest woody plants: isolation, scaling and use in population studies (by the example of Pinus sylvestris L.), Ekologiya, 2001, no. 3, pp. 197–202.Google Scholar
  13. 13.
    Vidyakin, A.I., Isolation of phens of color of Scots pine seed, Lesovedenie, 2003, no. 2, pp. 69–73.Google Scholar
  14. 14.
    Vidyakin, A.I., Metodicheskie osnovy vydeleniya fenov lesnykh drevesnykh rastenii (na primere sosny obyknovennoi Pinus sylvestris L.) (Methodical Bases of the Isolation of Forest Woody Plant Phens (by the Example of Scots Pine, Pinus sylvestris L.), issue 65 of Novye nauchnye metodiki i informatsionnye tekhnologii (New Scientific Methods and Information Technologies), Syktyvkar: Komi Nauch. Tsentr Ural. Otd. Ross. Akad. Nauk, 2010.Google Scholar
  15. 15.
    Vidyakin, A.I. and Glotov, N.V., Variation in the number of cotyledons of Scotch pine in the eastern European part of Russia, Ekologiya, 1999, no. 3, pp. 170–176.Google Scholar
  16. 16.
    Vidyakin, A.I., Population structure of Scots pine in the eastern European part of Russia, Extended Abstract of Doctoral Dissertation, Yekaterinburg, 2004.Google Scholar
  17. 17.
    Vidyakin, A.I., Population-chorological structure of Scots pine on the Volga Uplands: organization, factors and specificity of formation, fundamental and applied value, in The Forest-Steppe of Eastern Europe: The Structure, Dynamics, and Conservation (Proc. Int. Sci. Conf. in honor of 140 Anniversary of I.I. Sprygin, Pensa), Pensa, 2013, pp. 66–67.Google Scholar
  18. 18.
    Vidyakin, A.I. and Kantor, G.Ya., The spatial organization and the factors of formation of groups of Scots pine populations in the Southern Urals, Vestn. Orenburg. Gos. Univ., 2013, no. 10, pp. 182–185.Google Scholar
  19. 19.
    Timofeev-Resovskii, N.V., Vorontsov, N.N., and Yablokov, A.V., Kratkii ocherk teorii evolyutsii (A Brief Essay on the Theory of Evolution), Moscow: Nauka, 1977.Google Scholar
  20. 20.
    Altukhov, Yu.P., Geneticheskie protsessy v populyatsiyakh (Genetic Processes in Populations), Moscow: Akademkniga, 2003, 3rd ed.Google Scholar
  21. 21.
    Ayala, F.J., Population and Evolutionary Genetics: A Primer, Menlo Park, CA: Benjamin and Cummings, 1982.Google Scholar
  22. 22.
    Rogers, S.O. and Bendich, A.J., Extraction of DNA from milligram amounts of fresh, herbarium and mummified plant tissues, Plant. Mol. Biol., 1985, no. 19, pp. 69–76.CrossRefGoogle Scholar
  23. 23.
    Zietkiewicz, E., Rafalski, A., and Labuda, D., Genome fingerprinting by simple sequence repeat (SSR)anchored polymerase chain reaction amplification, Genomics, 1994, vol. 20, pp. 176–183.CrossRefPubMedGoogle Scholar
  24. 24.
    Boronnikova, S.V., Molecular marking and genetic certifying of resource and rare species of plants in order to optimize their gene pool conservation, Agrar. Vestn. Ural., 2009, no. 2, pp. 57–59.Google Scholar
  25. 25.
    Yeh, F.C., Yang, R.C., and Boyle, T., POPGENE. Microsoft Windows-Based Freeware for Population Genetic Analysis: Release 1.31, Edmonton: Univ. Alberta, 1999.Google Scholar
  26. 26.
    Peakall, R. and Smouse, P.E., GenAlEx6: genetic analysis in Excel. Population genetic software for teaching and research, Mol. Ecol. Not., 2006, vol. 6, pp. 288–295.CrossRefGoogle Scholar
  27. 27.
    Williams, J.G.K., Kubelik, A.R., Livak, K.J., et al., DNA polymorphisms amplified by arbitrary primers are useful as genetic markers, Nucleic Acids Res., 1990, vol. 18, pp. 6531–6535.PubMedCentralCrossRefPubMedGoogle Scholar
  28. 28.
    Kimura, M. and Crow, J.F., The number of alleles that can be maintained in a finite population, Genetics, 1964, vol. 49, pp. 725–738.PubMedCentralPubMedGoogle Scholar
  29. 29.
    Nei, M., Molecular Evolutionary Genetics, New York: Columbia Univ. Press, 1987.Google Scholar
  30. 30.
    Nei, M., Molecular Population Genetics and Evolution, Amsterdam, 1975.Google Scholar
  31. 31.
    Nei, M., Genetic distance between populations, Am. Nat., 1972, vol. 106, pp. 283–292.CrossRefGoogle Scholar
  32. 32.
    Nei, M. and Li, W.-H., Mathematical model for studying genetic variation in terms of restriction endonucleases, Proc. Natl. Acad. Sci. U.S.A., 1979, vol. 76, pp. 5269–5273.PubMedCentralCrossRefPubMedGoogle Scholar
  33. 33.
    Lakin, G.F., Biometriya (Biometry), Moscow: Vysshaya Shkola, 1973, 2nd ed.Google Scholar

Copyright information

© Pleiades Publishing, Inc. 2015

Authors and Affiliations

  • A. I. Vidyakin
    • 1
  • S. V. Boronnikova
    • 2
    • 3
  • Yu. S. Nechayeva
    • 2
    • 3
  • Ya. V. Pryshnivskaya
    • 2
    • 3
  • I. V. Boboshina
    • 3
  1. 1.Institute of Biology of the Komi Scientific Center of Ural Branch of the Russian Academy of SciencesKirovRussia
  2. 2.Perm State National Research UniversityPermRussia
  3. 3.Institute of Natural Science of the Perm National Research UniversityPermRussia

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