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Russian Journal of Genetics

, Volume 48, Issue 8, pp 831–837 | Cite as

A panel of microsatellite loci for population studies of Sakhalin taimen Parahucho perryi (Brevoort)

  • M. V. Shitova
  • A. A. Yurchenko
  • E. G. Shaykhaev
  • L. A. Zhivotovsky
Animal Genetics

Abstract

Using DNA samples of Sakhalin taimen and a set of microsatellite loci, earlier reported for other salmonid fishes (Salmonidae), successful cross-species amplification was performed. A total of 56 Sakhalin taimen (Parahucho perryi) samples from the Daga, Nabil, Poronai, and Agnevo rivers (Sakhalin Island) were examined at 36 microsatellite loci, most of which were described for other species and first tested in taimen. Among the 21 loci first tested in taimen, two loci produced no amplification products. The remaining 19 loci were successfully amplified (for some loci, new primers were generated). Thirteen of these loci were monomorphic, while six loci were polymorphic and used in further population genetic analysis. In addition, with the purpose of modification of the allele sizes and optimization of the research technique, new primers for the already known 12 loci of Sakhalin taimen were designed. Three more loci were included in analysis without changes. As a result, a joint panel consisting of 21 polymorphic microsatellite markers was suggested for analysis of Sakhalin taimen. This panel was tested with four population samples from the rivers of Sakhalin Island.The results showed that this panel of markers could be used in detailed population studies for evaluation of the level of genetic differentiation, inbreeding, and migrations in Sakhalin taimen, an endangered species with a fragmented range. Using this approach in further studies will make it possible to isolate basic populations, which is necessary for conservation of this rare species.

Keywords

Microsatellite Locus Oncorhynchus Kisutch Tetranucleotide Repeat Genetic Diversity Index Amur Tiger 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  • M. V. Shitova
    • 1
  • A. A. Yurchenko
    • 1
  • E. G. Shaykhaev
    • 1
    • 2
  • L. A. Zhivotovsky
    • 1
  1. 1.Vavilov Institute of General GeneticsRussian Academy of SciencesMoscowRussia
  2. 2.OOO “Isogene Laboratory,”MoscowRussia

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