Czech J. Anim. Sci., 2012, 57(4):171-177 | DOI: 10.17221/5892-CJAS

Microsatellite variability in nutria (Myocastor coypus) genetic resource in the Czech Republic

K. Kaplanová, L. Putnová, M. Bryndová, P. Bartoňová, I. Vrtková, J. Dvořák
Department of Animal Morphology, Physiology and Genetics, Faculty of Agronomy, Mendel University in Brno, Brno, Czech Republic

Nutria (Myocastor coypus) is a large rodent native to South America which was introduced worldwide originally with the intention of fur farming. Three colour forms (Standard, Moravian Silver, and Prestice Multicolour) fall into the Farm Animal Genetic Resources of the Czech Republic protected by the National Programme on Conservation and Utilization of Plant, Animal and Microbial Genetic Resources for Food and Agriculture coordinated by the National Focal Point. The objective of our investigation in the Czech Republic was to establish microsatellite panel for nutria and determine microsatellite variability in the local nutria population, levels of genetic diversity within and among subpopulations with respect to colour form and the levels of inbreeding within subpopulations. The genetic variability was studied in 64 animals by investigating 11 microsatellite markers (McoD214, McoD217, McoD59, McoD69, McoC124, McoC203, McoD60, McoB17, McoC118, McoA04, and McoD228) analysed by multicoloured capillary electrophoresis. The whole population showed a moderate level of genetic variability in terms of number of alleles (5 alleles per locus) or heterozygosity (50.4%) and the Prestice Multicolour form exhibited the highest level of diversity. Particular attention should be paid to organizing mate to minimise inbreeding, especially in the Standard colour form (FIS = 0.238) which showed the highest level of inbreeding out of the three colour forms. High combined exclusion probability (CEP) values (99.5, 94.5, and 99.9%) implied that the panel of microsatellite markers established in this study was usable for individual identification or routine parentage testing in nutria population in the Czech Republic.

Keywords: nutria; genetic resource; microsatellite marker; diversity; inbreeding

Published: April 30, 2012  Show citation

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Kaplanová K, Putnová L, Bryndová M, Bartoňová P, Vrtková I, Dvořák J. Microsatellite variability in nutria (Myocastor coypus) genetic resource in the Czech Republic. Czech J. Anim. Sci. 2012;57(4):171-177. doi: 10.17221/5892-CJAS.
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    References

    1. Baroch J., Hafner M. (2002): Biology and natural history of the nutria, with the special reference to nutria in Lousiana. Baroch J., Hafner M., Brown T.L., Mach J.J., Poche R.M. (eds): Nutria (Myocastor coypus) in Lousiana. Genesis Laboratories Inc., Wellington, USA, 3-86.
    2. Botstein D., White R.L., Skolnick M., Davis R.W. (1980): Construction of a genetic linkage map using restriction fragment length polymorphisms. American Journal of Human Genetics, 32, 314-331.
    3. Callahan C.R., Henderson A.P., Eackles M.S., King T.L. (2005): Microsatellite DNA markers for the study of population structure and dynamics in nutria (Myocastor coypus). Molecular Ecology Notes, 5, 124-126. Go to original source...
    4. Carter J., Leonard B.P. (2002): A review of the literature on the worldwide distribution, spread of, and efforts to eradicate the coypu (Myocastor coypus). Wildlife Society Bulletin, 30, 162-175.
    5. Castleberry S.B., King T.L., Wood P.B., Ford W.M. (2000): Microsatellite DNA markers for the study of Allegheny woodrat (Neotoma magister) populations and crossspecies amplification in the genus Neotoma. Molecular Ecology, 9, 824-826. Go to original source... Go to PubMed...
    6. Excoffier L., Lischer H.E.L. (2010): Arlequin suite v 35: a new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Research, 10, 564-567. Go to original source... Go to PubMed...
    7. Glaubitz J. (2004): CONVERT: a user-friendly program to reformat diploid genotypic data for commonly used population genetic software packages. Molecular Ecology Notes, 4, 309-310. Go to original source...
    8. Goudet J. (2001): FSTAT: a program to estimate and test gene diversities and fixation indices (version 293). Available from httm//: www.unil.ch/popgen/softwares/ fstat.html (accessed Apr 6, 2011).
    9. Guo S.W., Thompson E.A. (1992): Performing the exact test of Hardy-Weinberg proportions for multiple alleles. Biometrics, 48, 361-372. Go to original source... Go to PubMed...
    10. Hendrick P.W. (1983): Genetics of populations. Science Books International, Boston, USA.
    11. Jamieson A., Taylor St.C.S. (1997): Comparisons of three probability formulae for parentage exclusion. Animal Genetics, 28, 397-400. Go to original source... Go to PubMed...
    12. Kaplan J. (2011): Nutria. In: Matlova V., Rehout V., Fiedler J., Dykova Z., Jelinek J., Policek B., Milerski M., Vejcik A., Konrad R., Tumova E., Stejskalova E., Wilhelm J., Korbova J., Kaplan J., Machander V., Flajshans M., Titera D. (eds): Annual Report 2010 of the National Programme on Conservation and Utilization of Plant, Animal and Microbial Genetic Resources for Food and Agriculture. National Focal Point, Prague, Czech Republic, 48-49. (in Czech)
    13. Kourková L., Vrtková I., ©rubařová P. (2009): Microsatellite DNA analysis of genetic diversity in selected horse population. Journal of Agrobiology, 26, 57-60.
    14. Nei M. (1987): Molecular evolutionary genetics. Columbia University Press, New York. Go to original source...
    15. Page R.D. (1996): Tree view: an application to display phylogenetic trees on personal computers. Computer Applications in the Biosciences, 12, 357-358. Go to original source... Go to PubMed...
    16. Park S.D.E. (2001): Trypanotolerance in West African cattle and the population genetic effects of selection. PhD Diss. Ireland, University of Dublin.
    17. Putnová L., Knoll A., Dvořák V., Dvořák J. (2003): A novel porcine microsatellite panel for the identification of individuals and parentage control in the Czech Republic. Czech Journal of Animal Science, 48, 307-314.
    18. Putnová L., Vrtková I., ©rubařová P., Stehlík L. (2011): Utilization of a 17 microsatellites set for bovine traceability in Czech cattle populations. Iranian Journal of Applied Animal Science, 1, 31-37.
    19. Raymond M., Rousset F. (1995): GENEPOP (version 12): population genetics software for exact tests and ecumenicism. Journal of Heredity, 86, 248-249. Go to original source...
    20. Rice W.R. (1989): Analyzing tables of statistical tests. Evolution, 43, 223-225. Go to original source... Go to PubMed...
    21. Sneath P.H.A., Sokal R.R. (1973): Numerical taxonomy: the Principles and Practice of Numerical Classification. Freeman W.H., San Francisco, USA.
    22. Tunez J.I., Guichon M.L., Centron D., Henderson A.P., Callahan C.R., Cassini M.H. (2009): Relatedness and social organization of coypus in the Argentinean pampas. Molecular Ecology, 18, 147-155. Go to original source... Go to PubMed...
    23. Weir B.S., Cockerham C.C. (1984): Estimating F-statistics for the analysis of population structure. Evolution, 38, 1358-1370. Go to original source... Go to PubMed...
    24. Wright S. (1951): The genetical structure of populations. Annals of Eugenics, 15, 323-354. Go to original source... Go to PubMed...
    25. Yeh F.C., Yang R.C., Boyle T. (1999): POPGENE. Microsoft windows-based freeware for population genetic analysis. Release 1.31. University of Alberta, Edmonton, Canada.

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