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Cereal Research Communications

, Volume 37, Issue 1, pp 23–29 | Cite as

Detection of the Genetic Variability of Triticale Using Wheat and Rye SSR Markers

  • T. VyhnánekEmail author
  • E. Nevrtalová
  • K. Slezáková
Genetics

Abstract

The variability of microsatellite markers of 16 genotypes of triticale (× Triticosecale Wittmack, 2n = 6x = 42, BBAARR) was studied. Five varieties from Poland (Gutek, Kitaro, Lamberto, Presto and Tornado), three from Germany (Lupus, Ticino and Triamant), one from Russia (Valentin-90) and seven translocation forms derived from cv. Presto (donors of good bread-making quality) were analysed. SSR markers localised on chromosomes of the A, B, D and R genomes were chosen from literature for analysis. Based on 48 SSR markers (27 wheat and 21 rye SSR markers) a dendrogram was calculated, which highly significantly differentiated the Valentine-90 genotype from all the other 15 genotypes split into three sub-clusters. The first one includes the cv. Gutek, Tornado, Presto and translocation forms of cv. Presto. The second sub-cluster consists of the cv. Kitaro, Lamberto, Ticino and Triamant. The third sub-cluster cluster consists of the cv. Lupus only. The diversity index (DI), the probabilities of identity (PI) and the polymorphic information content (PIC) of SSR markers were calculated. We detected 184 alleles from 48 markers with an average of 3.83 alleles per locus (ranging from 1 to 9 alleles per locus). The average polymorphic information content was 0.48 ranging between 0.00 and 0.85.

Keywords

genetic variability triticale × Triticosecale Wittmack microsatellites SSR 

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References

  1. Bohn, F., Utz, H.F., Melchinger, A.E. 1999. Genetic similarities among winter wheat cultivars determined on the basis of RFLPs, AFLPs, and SSRs and their use for predicting progeny variance. Crop Sci. 39:228–237.CrossRefGoogle Scholar
  2. Brantestam Kolodinska, A., von Bothmer, R., Dayteg, C., Rashai, I., Weibull, J. 2007. Genetic diversity changes and relationships in spring barley (Hordeum vulgare L.) germplasm of Nordic and Baltic areas as shown by SSR markers. Genet. Resour. Crop Evol. 54:749–758.CrossRefGoogle Scholar
  3. Devos, K.M., Bryan, G.J., Collins, A.J., Stephenson, P., Gale, M.D. 1995. Application of two microsatellite sequences in wheat storage proteins as molecular markers. Theor. Appl. Genet. 90:247–252.CrossRefGoogle Scholar
  4. Giunta, F., Motzo, R. 2004. Sowing rate and cultivar affect total biomass and grain yield of spring triticale (× Triticosecale Wittmack) grain in a Mediterranean-type environment. Field Crops Res. 87:193–197.CrossRefGoogle Scholar
  5. Gregáňová, Z., Kraic, J., Gálová, Z. 2005. Effectiveness of microsatellites in differentiation of elite wheat cultivars. Biologia 60:665–670.Google Scholar
  6. Jaccard, P. 1908. Nouvelles recherches sur la distribution florale. Bulletin del la Société Vaudoise des Sciences Naturelles 44:223–270.Google Scholar
  7. Jones, E.S., Sullivan, H., Bhattramakki, D., Smith, J.S.C. 2007. A comparison of simple sequence repeat and single nucleotide polymorphism marker technologies for the genotypic analysis of maize (Zea mays L.). Theor. Appl. Genet. 115:361–371.CrossRefGoogle Scholar
  8. Khlestkina, E.K., Than, M.H.M., Pestsova, E.G., Röder, M.S., Malyshev, S.V., Korzun, V., Börner, A. 2004. Mapping of 99 new microsatellite-derived loci in rye (Secale cereale L.) including 39 expressed sequences tags. Theor. Appl. Genet. 109:725–732.CrossRefGoogle Scholar
  9. Kuelung, C., Baezinger, P.S., Dweikat, I. 2004. Transferability of SSR markers among wheat, rye and triticale. Theor. Appl. Genet. 108:1147–1150.CrossRefGoogle Scholar
  10. Kuelung, C., Baenziger, P.S., Kachman, S.D., Dweikat, I. 2006. Evaluating the genetic diversity of triticale with wheat and rye SSR markers. Crop Sci. 46:1692–1700.CrossRefGoogle Scholar
  11. Lukaszewski, A.J. 2006. Cytogenetically engineered rye chromosomes 1R to improve bread-making quality of hexaploid triticale. Crop Sci. 46:2183–2194.CrossRefGoogle Scholar
  12. Manifesto, M.M., Schlatter, A.R., Hopp, H.E., Suarez, E.Y., Dubcovsky, J. 2001. Quantitative evalution of genetic diversity in wheat germplasm using molecular markers. Crop Sci. 41:682–690.CrossRefGoogle Scholar
  13. Mantovani, P., van der Linden, G., Maccaferri, M., Sanguineti, M.C., Tuberosa, R. 2006. Nucleotide-binding site (NBS) profiling of genetic diversity in durum wheat. Genome 49:1473–1480.CrossRefGoogle Scholar
  14. Martinek, P., Vinterová, M., Burešová, I., Vyhnánek, T. 2008. Agronomic and quality characteristics of triticale (× Triticosecale Wittmack) with HMW glutenin subunits 5+10. J. Cereal Sci. 47:68–78.CrossRefGoogle Scholar
  15. Röder, M.S., Korzun, V., Wendehake, K., Plaschke, J., Tixier, M.H., Leroy, P., Ganal, M.W. 1998. A microsatellite map of wheat. Genetics 149:2007–2023.PubMedPubMedCentralGoogle Scholar
  16. Russell, J., Fuller, J., Young, G., Thomas, B., Taramino, G., Macaulay, M., Waugh, R., Powell, W. 1997. Discriminating between barley genotypes using microsatellite markers. Genome 40:442–450.CrossRefGoogle Scholar
  17. Somers, D.J., Isaac, P., Edwards, K. 2004. A high-density wheat microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor. Appl. Genet. 109:1105–1114.CrossRefGoogle Scholar
  18. Tams, S.H., Bauer, E., Oettler, G., Melchinger, A.E. 2004. Genetic diversity in European winter triticale determined with SSR markers and coancestry coefficient. Theor. Appl. Genet. 108:1385–1391.CrossRefGoogle Scholar
  19. Tams, S.H., Melchinger, A.E., Bauer, E. 2005. Genetic similarity among European winter triticale elite germplasms assessed with AFLP and comparisons with SSR and pedigree data. Plant Breed. 124:154–160.CrossRefGoogle Scholar
  20. Vyhnánek, T., Bednár, J. 2003. Detection of the varietal purity in sample of harvested wheat and triticale grains by prolamin marker. Plant Soil Environ. 49:95–98.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest 2009

Authors and Affiliations

  1. 1.Mendel University of Agriculture and Forestry in BrnoBrnoCzech Republic

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