Skip to main content
Log in

Variability of Genetic nSSR Markers in Anthropogeneously Disturbed Scots Pine Populations in Middle and Western Siberia: Methodological Aspects of Genetic Monitoring

  • Published:
Contemporary Problems of Ecology Aims and scope

Abstract—

The results of an analysis of nuclear microsatellite loci (nSSR) for studying the genetic diversity of natural populations of Scots pine (Pinus sylvestris L.) in the southern taiga and forest steppe of Middle and Western Siberia affected by fires and logging of different intensity are presented. Six polymorphic loci suitable for studying the genetic variability of the populations of the species in Siberia have been selected. The set of genetic markers used had never been studied in the Siberian part of the species range. Population genetic studies are carried out in 13 Siberian populations of Scots pine (26 samples) based on selected nSSR markers (psyl57, PtTx2146, lw_isotig04195, lw_isotig04306, lw_isotig10603, and lw_isotig21953) containing a total of 62 alleles. Fifteen of them are found only in one (two) of the populations and can be used to study the spatial and population structure of the species and determine the geographical boundaries of the populations. It has been established that their variability is significantly higher compared to isoenzyme markers; they contain a significant number of rare and very rare alleles and are quite informative for the purposes of genetic monitoring and assessing the impact of forestry activities and other natural and anthropogenic damaging factors on intrapopulation genetic diversity and the sustainability of one of the main forest-forming coniferous species of Siberia. In the process of analyzing the similarity of populations of the species according to the studied markers, a certain relationship is revealed between the genetic differentiation of populations and their geographical location which is often not detected when using isoenzyme markers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.

Similar content being viewed by others

REFERENCES

  1. Altukhov, Yu.P., Dynamics of population gene pools under anthropogenic pressure, Vestn. Vavilovskogo O-va. Genet. Sel., 2004, vol. 8, no. 2, pp. 40–59.

    Google Scholar 

  2. Auckland, L., Bui, T., Zhou, Y., Shepherd, M., and Williams, C., Conifer Microsatellite Handbook, Texas: Texas A&M Univ., 2002.

  3. Borovikov, V.P., STATISTICA: Iskusstvo analiza dannykh na komp’yutere (STATISTICA: the Art of Data Analysis on Computer), St. Petersburg: Piter, 2003.

  4. Buchert, G.P., Rajora, O.P., Hood, J.V., and Dancik, B.P., Effects of harvesting on genetic diversity in old-growth eastern white pine (Pinus strobes L.) in Ontario, Canada, Conserv. Biol., 1997, no. 11, pp. 747–758.

  5. Devey, M.E., Bell, J.C., Smith, D.N., Neale, D.B., and Morgan, G.F., A genetic linkage map for Pinus radiata based on RFLP, RAPD and microsatellite markers, Theor. Appl. Genet., 1996, vol. 92, no. 6, pp. 673–679.

    Article  CAS  PubMed  Google Scholar 

  6. Ekart, A.K., Larionova, A.Y., Zatsepina, K.G., Kravchenko, A.N., Zhamyansuren, S., Tikhonova, I.V., and Tarakanov, V.V., Genetic diversity and differentiation of populations of scots pine in Southern Siberia and Mongolia, Contemp. Probl. Ecol., 2014, vol. 7, no. 1, pp. 52–59.

    Article  Google Scholar 

  7. Elsik, C.G., Minihan, V.T., Hall, S.E., Scarpa, A.M., and Williams, C.G., Low-copy microsatellite markers for Pinus taeda L., Genome, 2000 vol. 43, no. 3, pp. 550–555.

    Article  CAS  PubMed  Google Scholar 

  8. Fang, P., Niu, S., Yuan, H., Li, Z., Zhang, Y., Yuan, L., and Li, W., Development and characterization of 25 EST-SSR markers in Pinus sylvestris var. mongolica (Pinaceae), Appl. Plant Sci., 2014, vol. 2, no. 1, p. 1300057. https://doi.org/10.3732/apps.1300057

    Article  Google Scholar 

  9. Furyaev, V.V., Zablotsky, V.I., and Chernykh, V.A., Fire Resistance of Pine Forests, Novosibirsk: Nauka, 2005.

    Google Scholar 

  10. Goncharenko, G.G., Silin, A.E., and Padutov, V.E., Studies on the genetic structure and differentiation level in Pinus sylvestris L. in central and marginal populations of Eastern Europe and Siberia, Genetika, 1993, vol. 29, no. 12, pp. 2019–2038.

    CAS  Google Scholar 

  11. Hedrick, Ph.W., Genetics of Populations, Sudbury: Jones and Bartlett, 1999.

    Google Scholar 

  12. Ilinov, A.A. and Raevsky, B.V., Comparative evaluation of the genetic diversity of natural populations and clonal seed orchards of Pinus sylvestris L. and Picea × fennica (Regel) Kom. in Karelia, Russ. J. Genet.: Appl. Res., 2017, vol. 7, no. 6, pp. 607–616.

    Article  Google Scholar 

  13. Ishutin, Ya.N., Bushkov, N.T., Gopienko, K.A., Il’ichev, Yu.N., and Tarakanov, V.V., Natural reforestation in slashes in the burnt-out areas of the Priobsky forests of Altai: problems and prospects, Lesn. Khoz., 2006, no. 1, pp. 12–15.

  14. Kravchenko, A.N., Intraspecific diversity and population differentiation of Siberian spruce (Picea obovata Ledeb.) in Central Siberia, Extended Abstract of Cand. Sci. (Biol.) Dissertation, Krasnoyarsk: Inst. Lesa Sib. Otd. Ross. Akad. Nauk, 2009.

  15. Larionova, A.Ya., Genetic variability in Scotch pine in the south-eastern part of its range, Russ. J. Genet., 2002, vol. 38, no. 12, pp. 1391–1396.

    Article  CAS  Google Scholar 

  16. Ledig, F., Human impacts on genetic diversity in forest ecosystems, Oikos, 1992, vol. 63, pp. 87–108.

    Article  Google Scholar 

  17. Marquard, P.E., Echt, C.S., Epperson, B.K., and Pubanz, D.M., Genetic structure, diversity, and inbreeding of eastern white pine under different management conditions, Can. J. For. Res., 2007, vol. 37, pp. 2652–2662.

    Article  Google Scholar 

  18. Padutov, V.E., Khotyleva, L.V., Baranov, O.Yu., and Ivanovskaya, S.I., Genetic effects of transformation of forest ecosystems, Ekol. Genet., 2008, vol. 6, no. 1, pp. 3–11.

    Article  Google Scholar 

  19. Peakall, R. and Smouse, P.E., GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research, Mol. Ecol. Notes, 2006, no. 6, pp. 288–295.

  20. Politov, D.V., Population genetics and evolutionary relationships of pine species (fam. Pinaceae) of Northern Eurasia, Extended Abstract of Doctoral (Biol.) Dissertation, Moscow, 2007.

  21. Potenko, V.V., Polymorphism of isoenzymes and phylogenetic relationships of coniferous species of the Russian Far East, Doctoral (Biol.) Dissertation, Khabarovsk, 2004.

  22. Ratnam, W., Rajora, Om, P., Finkeldey, R., Aravanopoulos, F., Bouvet, J.-M., Vaillancourt, R.E., Kanashiro, M., Fady, B., Tomita, M., and Vinson, Ch., Genetic effects of forest management practices: Global synthesis and perspectives, For. Ecol. Manage., 2014, vol. 333, pp. 52–65. https://doi.org/10.1016/j.foreco.2014.06.008

    Article  Google Scholar 

  23. Rousset, F., Genepop’007: a complete re-implementation of the genepop software for Windows and Linux, Mol. Ecol. Resour., 2008, vol. 8, no. 1, pp. 103–106.

    Article  PubMed  Google Scholar 

  24. Sannikov, S.N. and Petrova, I.V., Phylogenogeography and genotaxonomy of Pinus sylvestris L. populations, Russ. J. Ecol., 2012, vol. 43, no. 4, pp. 273–280.

    Article  Google Scholar 

  25. Sannikov, S.N., Petrova, I.V., and Semerikov, V.L., Geno- and phenogeographic analysis of Pinus sylvestris L. populations along the transect extending from the northern to southern boundary of the species range, Russ. J. Ecol., 2002, vol. 33, no. 2, pp. 86–91.

    Article  Google Scholar 

  26. Sebastiani, F., Pinzauti, F., Kujala, S.T., Gonza’lez-Martı’nez, S.C., and Vendramin, G.G., Novel polymorphic nuclear microsatellite markers for Pinus sylvestris L., Conserv. Genet. Resour., 2012, no. 4, pp. 231–234.

  27. Semerikov, V.L., Semerikova, S.A., Dymshakova, O.S., Zatsepina, K.G., Tarakanov, V.V., Tikhonova, I.V., Ekart, A.K., Vidyakin, A.I., Jamiyansuren, S., Rogovtsev, R.V., and Kalchenko, L.I., Microsatellite loci polymorphism of chloroplast DNA of scots pine (Pinus sylvestris L.) in Asia and eastern Europe, Russ. J. Genet., 2014, vol. 50, no. 6, pp. 577–585.

    Article  CAS  Google Scholar 

  28. Semerikov, V.L., Semerikova, S.A., Putintseva, Y.A., Oreshkova, N.V., and Krutovsky, K.V., Development of new mitochondrial DNA markers in Scots pine (Pinus sylvestris L.) for population and phylogeographic studies, Russ. J. Genet., 2015, vol. 51, no. 12, pp. 1199–1203.

    Article  CAS  Google Scholar 

  29. Semerikov, V.L., Semerikova, S.A., Putintseva, Y.A., Oreshkova, N.V., Krutovsky, K.V., Tarakanov, V.V., Tikhonova, I.V., and Vidyakin, A.I., Colonization history of Scots pine in Eastern Europe and North Asia based on mitochondrial DNA variation, Tree Genet. Genomes, 2018, vol. 14, no. 8, p. 7.

    Article  Google Scholar 

  30. Semerikova, S.A., Population-taxonomic structure of fir species (Abies Mill., Pinaceae) of the north-east of Eurasia, Extended Abstract of Doctoral (Biol.) Dissertation, Yekaterinburg: Inst. Ekol. Rast. Zhivotn. Ural. Otd. Ross. Akad. Nauk, 2008.

  31. Shchur, A., Bragina, E., Sieber, A., Pidgeon, A.M., and Radeloff, V.C., Monitoring selective logging with Landsat satellite imagery reveals that protected forests in Western Siberia experience greater harvest than non-protected forests, Environ. Conserv., 2017, vol. 44, no. 2, pp. 191–199.

    Article  Google Scholar 

  32. Sheller, M., Tóth, E.G., Ciocîrlan, E., Mikhaylov, P., Kulakov, S., Kulakova, N., Melnichenko, N., Ibe, A., Sukhikh, T., and Curtu, A.L., Genetic Diversity and Population Structure of Scots Pine (Pinus sylvestris L.) in Middle Siberia, Forests, 2023, vol. 14, p. 119. https://doi.org/10.3390/f14010119

    Article  Google Scholar 

  33. Shuvaev, D.N., Ibe, A.A., Shcherba, Yu.Ye., Sukhikh, T.V., Shilkina, Ye.A., Sheller, M.A., Usova, Ye.A., Lisotova, Ye.V., Repyakh, M.V., and Stupakova, O.M., Molecular genetic characteristic of the Scots pine population in Krasnoyarsk territory using the 15 nuclear microsatellite loci panel, Lesovedenie, 2022, no. 5, pp. 530–539.

  34. State report “On the state and protection of the environment of the Russian Federation in 2015. Forest 2015”. https://www.mnr.gov.ru/upload/iblock/28d/les_2015.docx

  35. Tikhonova, I.V., Ekart, A.K., Kravchenko, A.N., and Zatsepina, K.G., Disequilibrium distribution of genotypes in the pairs of isozyme loci in the pine populations of the forest-steppe regions of Siberia, Russ. J. Genet., 2016, vol. 52, no. 9, pp. 926–938.

    Article  CAS  Google Scholar 

  36. Tikhonova, I.V., Ekart, A.K., Kravchenko, A.N., Tikhonova, N.A., and Semenyakin, D.A., Influence of cuttings of different intensity on the genetic diversity of pine undergrowth in the northern forest-steppe of Central Siberia, Lesovedenie, 2021a, no. 4, pp. 379–392.

  37. Tikhonova, I.V., Ekart, A.K., Kravchenko, A.N., and Tikhonova, N.A., Genetic variability in Pinus sylvestris, Picea obovata, and Abies sibirica populations and in felling in the Southern Taiga of Central Siberia, Russ. J. Genet., 2021b, vol. 57, no. 3, pp. 297–310.

    Article  CAS  Google Scholar 

  38. Wright, S., Evolution and the Genetics of Populations, vol. 4: Variability within and among natural populations, Chicago: Univ. Chicago, 1978.

    Google Scholar 

  39. Zatsepina, K.G., Tarakanov, V.V., Kal’chenko, L.I., Ekart, A.K., and Larionova, A.Ya., Differentiation of scots pine populations in the belt pine forests of Altai krai discovered with markers of various nature, Sib. Lesn. Zh., 2016, no. 5, pp. 21–32.

Download references

ACKNOWLEDGMENTS

This study was conducted using equipment of the Krasnoyarsk Regional Center for Collective Use, Krasnoyarsk Science Center, Siberian Branch, Russian Academy of Sciences no. 0287-2021-0009.

Funding

This study was conducted within the framework of the State Task of the Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, and Krasnoyarsk Science Center, Siberian Branch, Russian Academy of Sciences.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to I. V. Tikhonova.

Ethics declarations

Conflict of interests. The authors declare that they have no conflict of interest.

Statement on the welfare of animals. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

Additional information

Translated by N. Ruban

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tikhonova, I.V., Ekart, A.K., Kravchenko, A.N. et al. Variability of Genetic nSSR Markers in Anthropogeneously Disturbed Scots Pine Populations in Middle and Western Siberia: Methodological Aspects of Genetic Monitoring. Contemp. Probl. Ecol. 16, 583–592 (2023). https://doi.org/10.1134/S199542552305013X

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S199542552305013X

Keywords:

Navigation