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Journal of Mountain Science

, Volume 12, Issue 3, pp 549–557 | Cite as

Biogeography and evolutionary factors determine genetic differentiation of Pinus mugo (Turra) in the Tatra Mountains (Central Europe)

  • Konrad CelińskiEmail author
  • Veronika Zbránková
  • Aleksandra Wojnicka-Półtorak
  • Ewa Chudzińska
Article

Abstract

Inter Simple Sequence Repeats (ISSR) markers were used to assess genetic diversity within and among populations of dwarf mountain pine (Pinus mugo Turra) growing in the Tatra National Park (UNESCO Biosphere Reserve) in Southern Poland (Central Europe). The analyzed population belongs to two different geobotanical sub-districts: the Western and High Tatras. The level of genetic diversity assessed in this study for P. mugo is generally comparable to that reported for the other pine species in the Pinaceae family assessed by ISSR markers, especially with respect to Nei’s genetic diversity and the percentage of polymorphic bands. Bayesian analysis clustered the analyzed populations into two groups, corresponding to their geobotanical locations in the Tatras. Significant divergence between the two genetical clusters was supported by the results of Analysis of Molecular Variance (AMOVA). According to the Mantel test, there was no correlation between the genetic distance and the geographical distance. The present study confirms the existence of two genetically distinct clusters of P. mugo populations in the Tatra Mountains. The observed high population-genetic differentiation of P. mugo in the Tatras could be attributed to several genetic, environmental and historical factors occurring in this mountain area.

Keywords

Biogeography Conservation genetics The Tatra Mountains Pinus mugo 

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References

  1. Bączkiewicz A, Buczkowska K, Wachowiak W (2005) Anatomical and morphological variability of needles of Pinus mugo Turra on different substrata in the Tatra Mountains. Biological Letters 42: 21–32.Google Scholar
  2. Bączkiewicz A, Prus-Głowacki W (2005) Morphological and anatomical variability of isoenzymatic identified clones of Pinus mugo Turra. Acta Biologica Cracoviensia Series Botanica 47: 21–32.Google Scholar
  3. Boratyńska K, Marcysiak K, Boratyński A (2005) Pinus mugo (Pinaceae) in the Abruzzi Mountains: high morphological variation in isolated populations. Botanical Journal of the Linnean Society 147: 309–316.CrossRefGoogle Scholar
  4. Boratyńska K, Muchewicz E, Drojma M (2004) Pinus mugo Turra geographic differentiation based on needle characters. Dendrobiology 51: 9–17.Google Scholar
  5. Carcaillet C, Fauvart N, Roiron P, et al. (2009) A new, isolated and endangered relict population of dwarf mountain pine (Pinus mugo Turra) in the northwestern Alps. Comptes Rendus Biologies 332: 456–463.CrossRefGoogle Scholar
  6. Celiński K (2008) Genetic structure of Pinus mugo populations growing in different habitats in Tatra Mountains examined by molecular markers. PhD thesis, Adam Mickiewicz University, Poznań. (In Polish)Google Scholar
  7. Celiński K, Pawlaczyk EM, Wojnicka-Półtorak A, et al. (2013a) Cross-species amplification and characterization of microsatellite loci in Pinus mugo Turra. Biologia 68: 621–626.Google Scholar
  8. Celiński K, Zbránková V, Wojnicka-Półtorak A, et al. (2013b) Application of ISSR and SSR combined data to assess genetic diversity in dwarf mountain pine (Pinus mugo Turra). Scientia iuvenis. Constantine the Philosopher University in Nitra, Nitra, Slovakia. pp 85–92.Google Scholar
  9. Christensen KI (1987) Taxonomic revision of the Pinus mugo complex and P. x rhaetica (P. mugo x sylvestris) (Pinaceae). Nordic Journal of Botany 7: 383–408.CrossRefGoogle Scholar
  10. Cui L, Baofeng C, Mengben W (2008) Population genetic structure of Pinus tabulaeformis in Shanxi Plateau, China. Russian Journal of Ecology 39: 34–40.CrossRefGoogle Scholar
  11. Dirnböck T, Dullinger S, Grabherr G (2003) A regional impact assessment of climate and land-use change on alpine vegetation. Journal of Biogeography 30: 401–417.CrossRefGoogle Scholar
  12. DoleŽal J, Šrutek M (2002) Altitudinal changes in composition and structure of mountain-temperate vegetation: a case study from the Western Carpathians. Plant Ecology 158: 201–221.CrossRefGoogle Scholar
  13. Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Focus 12:13–15.Google Scholar
  14. Dullinger S, Dirnböck T, Grabherr G (2004) Modelling climate change-driven treeline shifts: relative effects of temperature increase, dispersal and invasibility. Journal of Eology 92: 241–252.CrossRefGoogle Scholar
  15. Dzialuk A, Boratyński A, Boratyńska K, et al. (2012) Geographic patterns of genetic diversity of Pinus mugo (Pinaceae) in Central European mountains. Dendrobiology 68: 31–41.Google Scholar
  16. Earl DA, vonHoldt BM (2012) Structure Havester: a website and program for visualizing structure output and implementing the Evanno method. Conservation Genetics Resources 4: 359–361.CrossRefGoogle Scholar
  17. Evanno G, Regnout S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular Ecology 14: 2611–2620.CrossRefGoogle Scholar
  18. Falush D, Stephens M, Pritchard JK (2003) Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics 164: 1567–1587.Google Scholar
  19. Falush D, Stephens M, Pritchard JK (2007) Inference of population structure using multilocus genotype data: dominant markers and null alleles. Molecular Ecology Notes 7: 574–578.CrossRefGoogle Scholar
  20. Feng FJ, Han SJ, Wang H (2006) Genetic diversity and genetic differentiation of natural Pinus koraiensis population. Journal of Forestry Research 17: 21–24.CrossRefGoogle Scholar
  21. Frankham R, Ballou JD, Briscoe D (2002) Introduction to Conservation Genetics. Cambridge University Press, Cambridge, country name?.CrossRefGoogle Scholar
  22. Godt MJW, Hamrick JL (1995) Low levels of allozyme differentiation between Pyxidanthera (pyxie-moss) taxa (Diapensiaceae). Plant Systematics and Evolution 195: 159–168.CrossRefGoogle Scholar
  23. Heuertz M, Teufel J, González-Martínez SC, et al. (2010) Geography determines genetic relationships between species of mountain pine (Pinus mugo complex) in western Europe. Journal of Biogeography 37: 541–556.CrossRefGoogle Scholar
  24. Hubisz MJ, Falush D, Stephens M, et al. (2009) Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources 9: 1322–1332.CrossRefGoogle Scholar
  25. Jankovská V, Pokorný P (2008) Forest vegetation of the last full-glacial period in the Western Carpathians (Slovakia and Czech Republic). Preslia 80: 307–324.Google Scholar
  26. Korshikov II, Pirko YV (2002) Genetic variation and differentiation of peat-bog and dry-meadow populations of dwarf mountain pine Pinus mugo Turra in the highlands of the Ukrainian Carpathians. Russian Journal of Genetics 38: 1044–1050.CrossRefGoogle Scholar
  27. Labra M, Grassi F, Sgorbati S, et al. (2006) Distribution of genetic variability in southern populations of Scots pine (Pinus sylvestris L.) from the Alps to the Apennines. Flora 201: 468–476.CrossRefGoogle Scholar
  28. Li Y, Fahima T, Korol AB, et al. (2000) Microsatellite diversity correlated with ecological-edaphic and genetic factors in three microsites of wild emmer wheat in North Israel. Molecular Biology and Evolution 17: 851–862.CrossRefGoogle Scholar
  29. Li HY, Jiang J, Liu GF, et al. (2005) Genetic variation and division of Pinus sylvestris provenances by ISSR markers. Journal of Forest Research 16: 216–218.CrossRefGoogle Scholar
  30. Mariette S, Chagné D, Lézier C, et al. (2001) Genetic diversity within and among Pinus pinaster populations: comparison between AFLP and microsatellite markers. Heredity 86: 469–479.CrossRefGoogle Scholar
  31. Mičieta K, Murín G (1998) Three species of genus Pinus suitable as bioindicators of polluted environment. Water, Soil and Air Pollution 104: 413–422.CrossRefGoogle Scholar
  32. Mirek Z, Piękoś-Mirkowa H (1992) Flora and vegetation of the Polish Tatra Mountains. Mountain Research and Development 12: 147–173.CrossRefGoogle Scholar
  33. Mirek Z, Piękoś-Mirkowa H (1996) Flowering plants and pteridophytes. In: Mirek Z, GŁowaciński Z, Klimek K, et al. (Eds.), Nature of the Tatra National Park. TPN Press, Kraków-Zakopane, County name?. pp 275–318. (In Polish with English summary)Google Scholar
  34. Mosca E, Eckert AJ, Liechty JD, et al. (2012) Contrasting patterns of nucleotide diversity for four conifers of Alpine European forests. Evolutionary Applications 5: 762–775.CrossRefGoogle Scholar
  35. Naydenov KD, Naydenov MK, Tremblay F, et al. (2011) Patterns of genetic diversity that result from bottlenecks in Scots pine and the implications for local genetic conservation and management practices in Bulgaria. New Forests 42: 179–193.CrossRefGoogle Scholar
  36. Nei M (1972) Genetic distance between populations. The American Naturalist 106: 283–292.CrossRefGoogle Scholar
  37. Nevo E, Beiles A, Krugman T (1988). Natural selection of allozyme polymorphisms: a microgeographical differentiation by edaphic, topographical, and temporal factors in wild emmer wheat (Triticum dicoccoides). Theoretical and Applied Genetics 76: 737–752.CrossRefGoogle Scholar
  38. Nevo E, Noy-Meir I, Beiles A, et al. (1991) Natural selection of allozyme polymorphisms: micro-geographical spatial and temporal ecological differentiations in wild emmer wheat. Israel Journal of Botany 40: 419–450.Google Scholar
  39. Palombo C, Battipaglia G, Cherubini P, et al. (2014) Warmingrelated growth responses at the southern limit distribution of mountain pine (Pinus mugo Turra subsp. mugo). Journal of Vegetation Science 25: 571–583.CrossRefGoogle Scholar
  40. Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and researchan update. Bioinformatics 28: 2537–2539.CrossRefGoogle Scholar
  41. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155: 945–959.Google Scholar
  42. Prus-Głowacki W, Bączkiewicz A, Wysocka D (2005) Clonal structure of small isolated populations of Pinus mugo Turra from peatbogs in the Tatra Mts. Acta Biologica Cracoviensia Series Botanica 47: 53–59.Google Scholar
  43. Richardson DM (1998) Ecology and biogeography of Pinus. Cambridge University Press, Cambridge, UK.Google Scholar
  44. Rieseberg LH, Church SA, Morjan CL (2004) Integration of populations and differentiation of species. New Phytologist 161: 59–69.CrossRefGoogle Scholar
  45. Sannikov SN, Petrova IV, Schweingruber F, et al. (2011) Genetic differentiation of Pinus mugo Turra and P. sylvestris L. populations in the Ukrainian Carpathians and the Swiss Alps. Russian Journal of Ecology 42: 270–276.CrossRefGoogle Scholar
  46. Schoettle AW, Goodrich BA, Hipkins V, et al. (2012) Geographic patterns of genetic variation and population structure in Pinus aristata, rocky Mountain bristlecone pine. Canadian Journal of Forest Research 42: 23–37.CrossRefGoogle Scholar
  47. Slavov GT, Zhelev P (2004) Allozyme variation, differentiation, and inbreeding in populations of Pinus mugo in Bulgaria. Canadian Journal of Forest Research 34: 2611–2617.CrossRefGoogle Scholar
  48. Solar J, Janiga M (2013) Long-term changes in dwarf pine (Pinus mugo) cover in the High Tatra Mountains, Slovakia. Mountain Research and Development 33: 51–62.CrossRefGoogle Scholar
  49. Švajda J, Solár J, Janiga M, et al. (2011) Dwarf pine (Pinus mugo) and selected abiotic habitat conditions in the Western Tatra Mountains. Mountain Research and Development 31: 220–228.CrossRefGoogle Scholar
  50. Turpeinen T, Tenhola T, Manninen O, et al. (2001) Microsatellite diversity associated with ecological factors in Hordeum spontaneum populations in Israel. Molecular Ecology 10: 1577–1591.CrossRefGoogle Scholar
  51. Wachowiak W, Boratyńska K, Cavers S (2013) Geographical patterns of nucleotide diversity and population differentiation in three closely related European pine species in the Pinus mugo complex. Botanical Journal of the Linnean Society 172: 225–238.CrossRefGoogle Scholar
  52. Wang MB, Hao ZZ (2010) Rangewide genetic diversity in natural populations of Chinese pine (Pinus tabulaeformis). Biochemical Genetics 48: 590–602.CrossRefGoogle Scholar
  53. Weinstein LH, Davison AW (2003) Native plant species suitable as bioindicators and biomonitors for airborne fluoride. Environmental Pollution 125: 3–11.CrossRefGoogle Scholar
  54. Woo LS, Hoon YB, Don HS, et al. (2008) Genetic variation in natural populations of Abies nephrolepis Max. in South Korea. Annals of Forest Science 65: 302.CrossRefGoogle Scholar
  55. Yang CP, Wei L, Jiang J, et al. (2005) Analysis of genetic diversity for nineteen populations of Pinus sibirica Du Tour with technique of ISSR. Journal of Northeast Forestry University 33: 1–3.Google Scholar
  56. Yeh FC, Yang RC, Yeh FC, et al. (1999) POPGENE version 1.31-Microsoft Windows-based freeware for population genetic analysis. Quick users’ guide. University of Alberta, Edmonton, Canada.Google Scholar
  57. Zhang X, Korpelainen H, Chunyang L (2006) Microsatellite variation of Quercus aquifolioides populations at varying altitudes in the Wolong Natural Reserve of China. Silva Fennica 40: 407–415.Google Scholar
  58. Zhang ZY, Chen YY, Li DZ (2005). Detection of low genetic variation in a critically endangered Chinese pine, Pinus squamata, using RAPD and ISSR markers. Biochemical Genetics 43: 239–249.CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Konrad Celiński
    • 1
    Email author
  • Veronika Zbránková
    • 2
  • Aleksandra Wojnicka-Półtorak
    • 1
  • Ewa Chudzińska
    • 1
  1. 1.Department of GeneticsAdam Mickiewicz University in PoznańPoznańPoland
  2. 2.Department of Biology and EcologyUniversity of OstravaOstravaCzech Republic

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