Mammalian Biology

, Volume 97, Issue 1, pp 59–63 | Cite as

No evidence for recent introgressive hybridization between the European and Siberian roe deer in Poland

  • Magdalena ŚwisłockaEmail author
  • Magdalena Czajkowska
  • Maciej Matosiuk
  • Alexander P. Saveljev
  • Mirosław Ratkiewicz
  • Anetta Borkowska
Short communication


Wildlife translocations increase the rate of introgressive hybridization between closely related species. In this study, we investigated the population genetic structure of the European roe deer (Capreolus capreo-lus) in Poland, affected by widespread ancient mtDNA introgression from Siberian roe deer (C. pygargus), for signs of recent human-mediated admixture. We analysed two nuclear gene sequences (FPGT and LRRIQ3) and 10 microsatellite loci in 258 European roe deer and 78 introgressed individuals (C. capreolus with mtDNA of C. pygargus) collected from 16 populations from Poland. Eighteen Siberian roe deer from Russia were also genotyped. Population genetic structure, assessed using Bayesian analysis and Principal Coordinate Analysis, indicated the existence of one genetic cluster in the European roe deer in Poland and gave no evidence for recent introgression in nuclear markers. Measures of genetic diversity for pure C. capreolus and introgressed individuals did not differ, while species lineages exhibited significant high genetic differentiation from one another (FST = 0.271; P< 0.001). The discordance between previous mtDNA results and the present study based on nuclear markers confirms the impact of ancient natural hybridization process on the genetic structure of European roe deer populations in Poland.


Capreolus sp Genetic structure Introgressive hybridization Microsatellites Translocations 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Allendorf, F.W., Leary, R.F., Spruell, P., Wenburg, J.K., 2001. The problems with hybrids: setting conservation guidelines. Trends Ecol. Evol., 16, 613–622.CrossRefGoogle Scholar
  2. Currat, M., Ruedi, M., Petit, R.J., Excoffier, L., 2008. The hidden side of invasions: massive introgression by local genes. Evolution, 62, 1908–1920.PubMedGoogle Scholar
  3. Danilkin, A.A., Hewison, A.J.M., 1996. Behavioural Ecology of Siberian and European Roe Deer. Chapman and Hall, London.Google Scholar
  4. Danilkin, A.A., Plakhina, DA, Zvychaynaya, E.Y., Domnich, A.V., Kholodova, M.V., Sorokin, P.A., et al., 2017. Siberian roe deer (Capreolus pygargus Pallas, 1771) in Ukraine: analysis of the mitochondrial and nuclear DNA. Biol. Bul., 44, 575–583.CrossRefGoogle Scholar
  5. Evanno, G., Regnaut, S., Goudet, J., 2005. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol. Ecol. 14 (8), 2611–2620.CrossRefGoogle Scholar
  6. Excoffier, L., Lischer, H.E.L., 2010. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol. Ecol. Res., 10, 564–567.CrossRefGoogle Scholar
  7. Gleiss, H.G.W., 1967. Unter Robben, Gnus und Tigerschlangen. Chronik des Zoologischen Gartens Breslau 1865–1965. Natura et Patria Verlag, Wedel, Germany.Google Scholar
  8. Goudet, J., 1995. FSTAT: a computer program to calculate F-statistics. J. Hered., 86, 485–486.CrossRefGoogle Scholar
  9. Hall, T.A., 1999. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl. Acids Symp. Ser., 41, 95–98.Google Scholar
  10. Hornbeck, G.E., Mahoney, J.M., 2000. Introgressive hybridization of mule deer and white-tailed deer in southwestern Alberta. Wild. Soc. Bull., 28, 1012–1015.Google Scholar
  11. Iacolina, L., Corlatti, L., Buzan, E., Safner, T., Sprem, N., 2018. Hybridization in European ungulates: an overview of the current status, causes, and consequences. Mamm. Rev., Scholar
  12. Kalinowski, S.T., Taper, M.L., Marshall, T.C., 2007. Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol. Ecol., 16, 1099–1106.CrossRefGoogle Scholar
  13. Librado, P., Rozas, J., 2009. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 25, 1451–1452.CrossRefGoogle Scholar
  14. Lorenzini, R., Garofalo, L., Qin, X., Voloshina, I., Lovari, S., 2014. Global phylogeography of the genus Capreolus (Artiodactyla: cervidae), a Palearctic meso-mammal. Zool. J. Linn. Soc., 170, 209–221.CrossRefGoogle Scholar
  15. Markov, G., Zvychaynaya, E., Danilkin, A., Kholodova, M., Sugar, L., 2016. Genetic diversity and phylogeography of roe deer (Capreolus capreolus L.) in different biogeographical regions in Europe. Compt. Rend. Acad. Bulg. Sci., 69, 579–584.Google Scholar
  16. Matosiuk, M., Borkowska, A., Swislocka, M., Mirski, P., Borowski, Z., Krysiuk, K., et al., 2014a. Unexpected population genetic structure of European roe deer in Poland: an invasion of the mtDNA genome from Siberian roe deer. Mol. Ecol., 23, 2559–2572.CrossRefGoogle Scholar
  17. Matosiuk, M., Sheremetyeva, I.N., Sheremetyev, I.S., Saveljev, A.P., Borkowska, A., 2014b. Evolutionary neutrality of mtDNA introgression: evidence from complete mitogenome analysis in roe deer. J. Evol. Biol., 27, 2483–2494.CrossRefGoogle Scholar
  18. McDevitt, A.D., Edwards, C.J., OToole, P., O’Sullivan, P., O’Reilly, C., Carden, R.F., 2009. Genetic structure of, and hybridisation between, red (Cervus elaphus) and sika (Cervus nippon) deer in Ireland. Mamm. Biol., 74, 263–273.CrossRefGoogle Scholar
  19. Olano-Marin, J., Plis, K., Sönnichsen, L., Borowik, T., Niedzialkowska, M., Jėdrzejewska, B., 2014. Weak population structure in European roe deer (Capreolus capreolus) and evidence of introgressive hybridization with Siberian roe deer (C. pygargus) in northeastern Poland. PLoS One 9 (10), e109147.Google Scholar
  20. Pavlov, M.P., 1999. Akklimatizatsia okhotnich’e-promylovykh zverei i ptits v SSSR. Chast’ 3. Kopytnye (Acclimation of game mammals and birds in the Soviet Union: part 3. Ungulates). Russian Research Institute of Game Management and Fur Farming. In: Kirov [in Russian].Google Scholar
  21. Peakall, R., Smouse, P.E., 2006. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol. Ecol. Notes, 6, 288–295.CrossRefGoogle Scholar
  22. Plakhina, DA., Zvychainaya, E.Y., Kholodova, M.V., Danilkin, A.A., 2014. Identification of European (Capreolus capreolus L.) and Siberian (C Pygargus Pall.) roe deer hybrids by microsatellite marker analysis. Russ. J. Genet., 50, 757–762.CrossRefGoogle Scholar
  23. Pritchard, J.K., Stephens, M., Donnelly, P., 2000. Inference of population structure using multilocus genotype data. Genetics, 155, 945–959.PubMedPubMedCentralGoogle Scholar
  24. Raymond, M., Rousset, F., 1995. GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J. Hered., 86, 248–249.CrossRefGoogle Scholar
  25. Senn, H.V., Swanson, G.M., Goodman, S.J., Barton, N.H., Pemberton, J.M., 2010. Phenotypic correlates of hybridisation between red and sika deer (genus Cervus). J. Anim. Ecol., 79, 414–425.CrossRefGoogle Scholar
  26. Shurtliff, Q.R., 2011. Mammalian hybrid zones: review. Mamm. Rev., 43, 1–21.CrossRefGoogle Scholar
  27. Trifonov, V.A., Dementyeva, P.V., Larkin, D.M., O’Brien, P.C.M., Perelman, P.L., Yang, F., Ferguson-Smith, MA, Graphodatsky, A.S., 2013. Transcription of a protein-coding gene on B chromosomes of the Siberian roe deer (Capreolus pygargus). BMC Biol. 11, 90.CrossRefGoogle Scholar
  28. Van Oosterhout, C., Hutchinson, W.F., Wills, D.P.M., Shipley, P., 2004. Micro-checker: software for identifying correcting genotyping errors in microsatellite data. Mol. Ecol. Notes 4, 135.Google Scholar

Copyright information

© Deutsche Gesellschaft für Säugetierkunde 2019

Authors and Affiliations

  • Magdalena Świsłocka
    • 1
    Email author
  • Magdalena Czajkowska
    • 1
  • Maciej Matosiuk
    • 1
  • Alexander P. Saveljev
    • 2
  • Mirosław Ratkiewicz
    • 1
  • Anetta Borkowska
    • 1
  1. 1.Institute of BiologyUniversity of BialystokBialystokPoland
  2. 2.Department of Animal EcologyRussian Research Institute of Game Management and Fur FarmingKirovRussia

Personalised recommendations