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Nuclear and mitochondrial genetic structure in the Eurasian beaver (Castor fiber) - implications for future reintroductions

Research output: Contribution to journalArticle

  • Helen Senn
  • Rob Ogden
  • Christiane Frosch
  • Alena Syrůčková
  • Roisin Campbell-Palmer
  • Pavel Munclinger
  • Walter Durka
  • Robert H S Kraus
  • Alexander P Saveljev
  • Carsten Nowak
  • Annegret Stubbe
  • Michael Stubbe
  • Johan Michaux
  • Vladimir Lavrov
  • Ravchig Samiya
  • Alius Ulevicius
  • Frank Rosell

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Original languageEnglish
Pages (from-to)645-662
Number of pages18
JournalEvolutionary Applications
Issue number6
Publication statusPublished - Jun 2014


Many reintroduction projects for conservation fail, and there are a large number of factors that may contribute to failure. Genetic analysis can be used to help stack the odds of a reintroduction in favour of success, by conducting assessment of source populations to evaluate the possibility of inbreeding and outbreeding depression and by conducting postrelease monitoring. In this study, we use a panel of 306 SNP (single nucleotide polymorphism) markers and 487-489 base pairs of mitochondrial DNA control region sequence data to examine 321 individuals from possible source populations of the Eurasian beaver for a reintroduction to Scotland. We use this information to reassess the phylogenetic history of the Eurasian beavers, to examine the genetic legacy of past reintroductions on the Eurasian landmass and to assess the future power of the genetic markers to conduct ongoing monitoring via parentage analysis and individual identification. We demonstrate the capacity of medium density genetic data (hundreds of SNPs) to provide information suitable for applied conservation and discuss the difficulty of balancing the need for high genetic diversity against phylogenetic best fit when choosing source population(s) for reintroduction.

    Research areas

  • applied conservation genetics, ascertainment bias, evolutionarily significant unit, inbreeding depression, outbreeding depression, population augmentation, conservation genomics

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