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Comparative Analysis of Paddlefish (Polyodon spathula) Populations’ Genetic Structure with Regard to Microsatellite DNA Markers

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Comparative characteristics in genetic structure of cultured Ukrainian and Polish populations and the natural paddlefish populations from the United States is reported for three microsatellite DNA markers: Psp21, Psp26, and Psp28. The average Na value was 6.1 and 5.5 for the Ukrainian and Polish populations, respectively. The Na value for the natural populations was almost two times higher at 11.1 alleles on average. The mean values of observed (Но) heterozygosity were shown to exceed those of expected heterozygosity (Не) for both Ukrainian (0.709 > 0.616) and Polish (0.809 > 0.699) populations. The mean Но and Не values for the natural populations were in the range of genetic equilibrium according to the Hardy–Weinberg equation at 0.817 and 0.813, respectively. According to the data presented, changes in the total number of allelic variants in the cultured populations as compared to natural populations were demonstrated. The heterozygosity level values obtained and negative values of the fixation index Fis for the cultured populations point at the absence of inbreeding at the present stage of paddlefish cultivation, and this is indicative of a sufficient number of breeders with a heterozygous genotype for reproduction under aquaculture conditions.

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Fig. 1.


  1. 1

    Mims, S.D. and Shelton, W.L., Paddlefish Aquaculture, Wiley-Blackwell, 2015.

  2. 2

    Raymakers, C., CITES, the convention on international trade in endangered species of wild fauna and flora: its role in the conservation of Acipenseriformes, J. Appl. Ichtyol., 2006, no. 22 (1), pp. 53–65. https://doi.org/10.1111/j.1439-0426.2007.00929.x

  3. 3

    Hupfeld, R.N., Phelps, Q.E., Tripp, S.J., and Herzog, D.P., Mississippi River basin paddlefish population dynamics: implications for the management of a highly migratory species, J. Fish., 2016, vol. 41, no. 10, pp. 600–610.

  4. 4

    Stell, E.G., Hoover, J.J., Cage, B.A., Hardesty, D., and Parson, G.R., Long-distance movements of four Polyodon spathula (paddlefish) from a remote oxbow lake in the lower Mississippi River basin, Southeast. Nat., 2018, vol. 17, no. 2, pp. 230–238. https://doi.org/10.1656/058.017.0205

  5. 5

    Schooley, J.D., Scarnecchia, D.L., and Crews, A., Harvest management regulation options for Oklahoma’s Grand Lake stock of paddlefish. J. South. Assoc. Fish Wildlife Agen., 2014, no. 1, pp. 89–97.

  6. 6

    Pikitch, E., Doukakis, P., Lauck, L., Chakraborty, P., and Erickson, D.L., Status, trends and management of sturgeon and paddlefish fisheries, Fish. Fish., 2005, no. 6, pp. 233–265. doi . 00190.xhttps://doi.org/10.1111/j.1467-2979.2005

  7. 7

    Abdul-Muneer, P.M., Application of microsatellite markers in conservation genetics and fisheries management: recent advances in population structure analysis and conservation strategies, Genet. Res. Int., 2014, vol. 2014, pp. 691–759. https://doi.org/10.1155/2014/691759

  8. 8

    Dudu, R., Suciu, M., Parashiv Georgescu, S.E., Costache, M., and Berrebi, P., Nuclear markers of Danube sturgeons hybridization, Mel. Sci., 2011, no. 12, pp. 6796–6809. https://doi.org/10.3390/ijms12106796

  9. 9

    Dudu, A., Georgescu, S.E., and Costache, M., Evaluation of genetic diversity in fish using molecular markers, in Molecular Approaches to Genetic Diversity, chapter: Evaluation of Genetic Diversity in Fish Using Molecular Markers, InTech, 2015, pp. 163–193. https://doi.org/10.5772/60423

  10. 10

    Barmintseva, A.E. and Mugue, N.S., The use of microsatellite loci for identification of sturgeon species (Acipenseridae) and hybrid forms, Genetics, 2013, vol. 49, no. 9, pp. 1093–1105. https://doi.org/10.7868/S0016675813090038

  11. 11

    Askari, G., Shabani, A., and Kolangi, H., Miandare. Application of molecular markers in fisheries and aquaculture, Sci. J. Anim. Sci., 2013, no. 2 (4), pp. 82–88.

  12. 12

    Costache, M., Dudu, A., and Georgescu, S.E., Low Danube sturgeon identification using DNA markers, in Analysis of Genetic Variation in Animals, Bucharest: InTech, 2012, pp. 243–268.

  13. 13

    Timoshkina, N.N., Vodolazhskii, D.Y., and Usatov, A.V., Molecular genetic markers in the study of the intra- and interspecific polymorphism of sturgeon fish (Acipenseriformes), Ecol. Genet., 2010, vol. 8, no. 1, pp. 12–24.

  14. 14

    Garza, J.C. and Williamson, E.G., Detection of reduction in population size using data from microsatellite loci, Mol. Ecol., 2001, no. 10, pp. 305–318.

  15. 15

    McCusker, M.R. and Benzten, P., Positive relationships between genetic diversity and abundance in fishes, Mol. Ecol., 2010, vol. 19, no. 22, pp. 4852–4862.

  16. 16

    Leary, S.J., Hice, L.A., Feldheim, K.A., Frisk, M.G., McElroy, A.E., Fast, M.D., and Chapman, D.D., Severe inbreeding and small effective number of breeders in a formerly abundant marine fish, PLoS One, 2013, no. 8 (6), pp. 66–126. https://doi.org/10.1371/journal.pone.0066126

  17. 17

    Dzitsiuk, V.V. and Melnyk, O.V., Microsatellites of DNA in the preservation of genetic diversity of horses, Anim. Genet., 2013, no. 12 (52), pp. 7–10.

  18. 18

    Chistiakov, D.A., Hellemans, B., and Volckaert, F.A.M., Microsatellites and their genomic distribution, evolution, function and applications: A review with special reference to fish genetics, Aquaculture, 2006, nos. 1–4, pp. 1–29. https://doi.org/10.1016/j.aquaculture.2005.11.031

  19. 19

    Heist, E.J., Nicholson, E.H., Sipiorski, J.T., and Keeney, D.B., Microsatellite markers for the paddlefish (Polyodon spathula), Conserv. Genet., 2002, no. 3, pp. 205–207. https://doi.org/10.1023/A:1015272414957

  20. 20

    Ieist, E.J. and Mustapha, A., Genetic structure in paddlefish inferred from DNA microsatellite loci, Trans. Am. Fish. Soc., 2008, vol. 137, no. 3, pp. 909–915. https://doi.org/10.1577/T07-078.1

  21. 21

    Kaczmarczyk, D., Luczynski, M., and Brzuzan, P., Genetic variation of three paddlefish (Polyodon spathula Walbaum) stocks based on microsatellite DNA analysis, Czech. J. Anim. Sci., 2012, no. 57, pp. 345–352.

  22. 22

    Kaczmarczyk, D., Selection of optimal spawning pairs to maintain genetic variation among captive populations of Acipenseridae based on the polymorphism of microsatellite loci, Arch. Polish. Fish., 2016, no. 24, pp. 77–84.

  23. 23

    Zheng, X., Schneider, K., Lowe, J.D., Gomelsky, B., Mims, S.D., and Bu, S., Genetic structure among four populations of paddlefish, Polyodon spathula (Actinopterygii: Acipenseriformes: Polyodontidae), based on disomic microsatellite markers, Acta Ichthyol. Piscat., 2014, no. 44 (3), pp. 213–219.

  24. 24

    Zou, Y.C., Zou, Q.W., and Wei, G.B., Pan Induction of meiotic gynogenesis in paddlefish (Polyodon spathula) and its confirmation using microsatellite markers, J. Appl. Ichthyol., 2011, vol. 27, no. 2, pp. 505–509. https://doi.org/10.1111/j.1439-0426.2011.01681.x

  25. 25

    Kurta, K., Malysheva, O., and Spyrydonov, V., Comparative analysis of the genetic structure of paddlefish (Polyodon spathula) of Ukrainian populations, Biol. Res. Nat. Manage., 2018, no. 10 (3–4).https://doi.org/10.31548/bio2018.03.025

  26. 26

    Carter, M.J. and Milton, I.D., An inexpensive and simple method for DNA purifications on silica particles, Nucleic Acids Res., 1993, vol. 21, pp. 1044–1046. https://doi.org/10.1093/nar/21.4.1044

  27. 27

    Kurta, K., Malysheva, O., and Spyrydonov, V., Optimization of polymerase chain reaction’s conditions for studies of paddlefish (Polyodon spathula) microsatellite DNA, Anim. Biol., 2017, vol. 19, no. 2, pp. 56–63. https://doi.org/10.15407/animbiol19.02.056

  28. 28

    Peakall, R. and Smouse, P.E., GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research, Mol. Ecol. Notes, 2006, no. 6, pp. 288–295.https://doi.org/10.1111/j.1471-8286.2005.01155.x

  29. 29

    Peakall, R. and Smouse, P.E., GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update, Bioinformatics, 2012, no. 28 (19), pp. 2537–2539. https://doi.org/10.1093/bioinformatics/bts460

  30. 30

    Kalinowski, S.T., Taper, M.L., and Marshall, T.C., Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment, Mol. Ecol., 2007, vol. 16, no. 5, pp. 1099–1106.https://doi.org/10.1111/j.1365-294X.2007

  31. 31

    Marshall, T.C., Slate, J., Kruuk, L.E.B., and Pemberton, J.M., Statistical confidence for likelihood-based paternity inference in natural populations, Mol. Ecol., 1998, no. 7 (5), pp. 639–655.https://doi.org/10.1046/j.1365-294x.1998.00374.x

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This work was not supported by any specific grant from financial organizations in the state, commercial, or noncommercial sector.

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Correspondence to Kh. M. Kurta or O. O. Malysheva or V. G. Spyrydonov.

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The authors declare that they have no conflict of interest. This article does not contain any studies involving animals or human participants performed by any of the authors.

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Translated by S. Semenova

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Kurta, K.M., Malysheva, O.O. & Spyrydonov, V.G. Comparative Analysis of Paddlefish (Polyodon spathula) Populations’ Genetic Structure with Regard to Microsatellite DNA Markers. Cytol. Genet. 54, 31–37 (2020). https://doi.org/10.3103/S0095452720010107

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  • Polyodon spathula
  • DNA markers
  • microsatellites
  • genetic structure
  • alleles
  • loci
  • polymorphism