European Journal of Wildlife Research

, Volume 57, Issue 3, pp 679–682 | Cite as

First set of microsatellite markers for genetic characterization of the Eurasian beaver (Castor fiber) based on tissue and hair samples

  • Christiane Frosch
  • Peter Haase
  • Carsten NowakEmail author
Short Communication


Noninvasive genetic techniques have become indispensible tools in wildlife conservation and management. Here, we report the development of the first set of microsatellite markers for the Eurasian beaver (Castor fiber). All 15 loci show considerable variation within the sampled region in southwestern Germany, with number of alleles ranging from two to six alleles per locus. A comparison between tissue and hair samples revealed that amplification success was only slightly lower for hair samples, making their use in noninvasive monitoring feasible. Despite some evidence for false alleles and allelic dropout, 77% of all loci were genotyped successfully among all hair samples and loci tested. The developed markers will be used for subspecies differentiation and reconstruction of dispersal routes, following reintroductions in Central Europe.


Microsatellites Noninvasive sampling Wildlife genetics Eurasian beaver Castor fiber 



We are grateful to all the beaver managers in Germany for kindly providing us samples. Genomic microsatellite identification was performed by GENterprise Genomics, Mainz, Germany. The study was funded by the Regierungspräsidium Darmstadt, federal state of Hesse. Additional funding was provided by the Hessian initiative for scientific and economic excellence (LOEWE - Landes-Offensive zur Entwicklung wissenschaftlich-ökonomischer Exzellenz) of the Hessian Ministry of Higher Education, Research, and the Arts.


The authors of this manuscript declare that all experiments performed in this study comply with the current laws in Germany. Furthermore, we declare that we have no conflict of interest concerning the published data.


  1. Crawford J, Liu Z, Nelson T, Nielsen C, Bloomquist C (2008) Isolation and characterization of microsatellite loci in the beaver (Castor canadensis). Mol Ecol Resources 8:616–618. doi: 10.1111/j.1471-8286.2007.02016.x CrossRefGoogle Scholar
  2. Ducroz J-F, Stubbe M, Saveljev AP, Heidecke D, Samjaa R, Ulevičius A, Stubbe A, Durka W (2005) Genetic variation and population structure of the Eurasian beaver Castor fiber in Eastern Europe and Asia. J Mammal 86:1059–1067. doi: 10.1644/1545-1542(2005)86[1059:GVAPSO]2.0.CO;2 CrossRefGoogle Scholar
  3. Durka W, Babik W, Ducroz JF, Heidecke D, Rosell F, Samjaa R, Saveljev AP, Stubbe A, Ulevicius A, Stubbe M (2005) Mitochondrial phylogeography of the Eurasian beaver Castor fiber L. Mol Ecol 14:3843–3856. doi: 10.1111/j.1365-294X.2005.02704.x PubMedCrossRefGoogle Scholar
  4. Guo SW, Thompson EA (1992) Performing the exact test of Hardy-Weinberg proportions for multiple alleles. Biometrics 48:361–372. doi: 10.2307/2532296 PubMedCrossRefGoogle Scholar
  5. Nolet BA, Rosell F (1998) Come back of the beaver Castor fiber: an overview of old and new conservation problems. Biol Conserv 83:165–173. doi: 10.1016/S0006-3207(97)00066-9 CrossRefGoogle Scholar
  6. Paetkau D, Strobeck C (1994) Microsatellite analysis of genetic variation in black bear populations. Mol Ecol 3:489–495. doi: 10.1111/j.1365-294X.1994.tb00127.x PubMedCrossRefGoogle Scholar
  7. Peakall R, Smouse PE (2006) Genalex 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295. doi: 10.1111/j.1471-8286.2005.01155.x CrossRefGoogle Scholar
  8. Pelz-Serrano K, Munguia-Vega A, Piaggio AJ, Neubaum M, Munclinger P, Pártl A, van Riber C, Culver M (2009) Development of nine new microsatellite loci for the American beaver, Castor canadensis (Rodentia: Castoridae), and cross-species amplification in the European beaver, Castor fiber. Mol Ecol Resources 9:551–554. doi: 10.1111/j.1755-0998.2008.02364.x CrossRefGoogle Scholar
  9. Raymond M, Rousset F (1995) Genepop (version- 1.2) - Population Genetics Software for exact tests and ecumenicism. J Hered 86:248–249Google Scholar
  10. Rosell F, Bozsér O, Collen P, Parker H (2005) Castor fiber and Castor canadensis and their ability to modify ecosystems. Mamm Soc 35:248–276. doi: 10.1111/j.1365-2907.2005.00067.x Google Scholar
  11. Rozen S, Skaletsky HJ (2000) Primer3 on the WWW for general users and for biologist programmers. In: Krawetz S, Misener S (eds) Bioinformatics methods and protocols: methods in molecular biology. Humana Press, Totowa, pp 365–386Google Scholar
  12. Taberlet P, Waits LP, Luikart G (1999) Noninvasive genetic sampling: look before you leap. Trends Ecol Evol 4:323–327. doi: 10.1016/S0169-5347(99)01637-7 CrossRefGoogle Scholar
  13. Valiere N (2002) gimlet: a computer program for analysing genetic individual identification data. Mol Ecol Notes 2:377–379. doi: 10.1046/j.1471-8286.2002.00228.x Google Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Christiane Frosch
    • 1
  • Peter Haase
    • 1
    • 2
  • Carsten Nowak
    • 1
    • 2
    Email author
  1. 1.Department of Limnology and ConservationSenckenberg Research Institutes and Natural History MuseumsGelnhausenGermany
  2. 2.Biodiversity and Climate Research Centre (BiK-F)Frankfurt am MainGermany

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