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Comparative analysis of the genetic structure of paddlefish (Polyodon spathula) populations by microsatellite DNA-markers
SUMMARY. The comparative analysis of the genetic structure of artificial Ukrainian and Polish populations with natural paddlefish populations from the United States was conducted using three microsatellite DNA markers: Psp21, Psp26 and Psp28. The average value of Na was 6.1 and 5.5 for the Ukrainian and Polish populations, respectively. For natural populations Na index was almost twice as high and averaged at 11.1 alleles. It was established that there was predominance of the mean values of the observed heterozygosity (Íî) over expected heterozygosity (Íe) both for the Ukrainian (0.709 > 0.616) and for the Polish (0.809 > 0.699) populations. For natural populations, the mean values of Ho and He were close to the Hardy-Weinberg Equilibrium (HWE) and were at the level of 0.817 and 0.813, respectively. According to comparable data, it has been established that there has been a decrease in the total number of allelic variants for artificial populations, compared with natural populations. The obtained values of the level of heterozygosity and the negative fixation indexes Fis for artificial paddlefish populations indicated the absence of inbreeding at this stage of paddlefish cultivation, which was a confirmation of a sufficient number of individuals in broodstock with heterozygous genotypes for reproduction under aquaculture conditions.
Key words: Polyodon spathula, DNA-markers, microsatellites, genetic structure, alleles, loci, polymorphism
E-mail: khrystyna.kurta gmail.com, malisheva.sirota gmail.com, spyrydonov ukr.net
1. Mims, S.D. and Shelton, W.L., Paddlefish Aquaculture, Wiley-Blackwell, 2015.
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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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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