Theoretical and Applied Genetics

, Volume 111, Issue 1, pp 162–170 | Cite as

SSR allelic diversity changes in 480 European bread wheat varieties released from 1840 to 2000

  • V. Roussel
  • L. Leisova
  • F. Exbrayat
  • Z. Stehno
  • F. Balfourier
Original Paper

Abstract

A sample of 480 bread wheat varieties originating from 15 European geographical areas and released from 1840 to 2000 were analysed with a set of 39 microsatellite markers. The total number of alleles ranged from 4 to 40, with an average of 16.4 alleles per locus. When seven successive periods of release were considered, the total number of alleles was quite stable until the 1960s, from which time it regularly decreased. Clustering analysis on Nei’s distance matrix between these seven temporal groups showed a clear separation between groups of varieties registered before and after 1970. Analysis of qualitative variation over time in allelic composition of the accessions indicated that, on average, the more recent the European varieties, the more similar they were to each other. However, European accessions appear to be more differentiated as a function of their geographical origin than of their registration period. On average, western European countries (France, The Netherlands, Great Britain, Belgium) displayed a lower number of alleles than southeastern European countries (former Yugoslavia, Greece, Bulgaria, Romania, Hungary) and than the Mediterranean area (Italy, Spain and Portugal), which had a higher number. A hierarchical tree on Nei’s distance matrix between the 15 geographical groups of accessions exhibited clear opposition between the geographical areas north and south of the arc formed by the Alps and the Carpathian mountains. These results suggest that diversity in European wheat accessions is not randomly distributed but can be explained both by temporal and geographical variation trends linked to breeding practices and agriculture policies in different countries.

Notes

Acknowledgements

The authors would like to thank the two anonymous reviewers for their very constructive comments to improve this paper. They also thank M. Ambrose (UK), A. de Keyser (Belgium), I. Faberova (Czech Republic), D. Fossati (Switzerland), G. Ittu (Romania), W. Kainz (Austria), J. Koenig (France), J.A. Oliveira (Spain) and L. Van Soest (Netherlands) for their help in recovering passport data. This research was realised as part of ‘Barrande’ project between the Czech Republic and France.

Supplementary material

List of the accessions’ name and their respective breeder

122_2005_2014_ESM_supp.pdf (171 kb)
(PDF 171 KB)

References

  1. Becker RA, Chambers JM, Wilks AR (1988) The new S language. A programming environment for data analysis and graphics. Wadsworth and Brooks/Cole Advanced Books and Software, Pacific Grove, Calif.Google Scholar
  2. Ben Amer IM, Borner A, Röder MS (2001) Detection of genetic diversity in Lybian wheat genotypes using wheat microsatellite markers. Genet Res Crop Evol 48:579–585CrossRefGoogle Scholar
  3. Christiansen MJ, Andersen SB, Ortiz R (2002) Diversity changes in an intensively bread wheat germplasm during the 20th century. Mol Breed 9:1–11CrossRefGoogle Scholar
  4. Donini P, Law JR, Koebner RM, Reeves JC, Cooke RJ (2000) Temporal trends in the diversity of UK wheat. Theor Appl Genet 100:912–917CrossRefGoogle Scholar
  5. Fu YB, Peterson GW, Scoles G, Rossnagel B, Schoen DJ, Richards KW (2003) Allelic diversity changes in 96 Canadian oat cultivars released from 1886 to 2001. Crop Sci 43:1989–1995Google Scholar
  6. Huang XQ, Borner A, Roder MS, Ganal MW (2002) Assessing genetic diversity of wheat (Triticum aestivum L.) germplasm using microsatellite markers. Theor Appl Genet 105:699–707CrossRefPubMedGoogle Scholar
  7. Koebner RM, Donini P, Reeves JC, Cooke RJ, Law JR (2003) Temporal flux in the morphological and molecular diversity of UK barley. Theor Appl Genet 106:550–558PubMedGoogle Scholar
  8. Korzun V, Röder MS, Ganal MW, Worland AJ, Law CN (1998) Genetic analysis of the dwarfing gene Rht8 in wheat Part I. Molecular mapping of Rht8 on the short arm of chromosome 2D of bread wheat (Triticum aestivum). Theor Appl Genet 96:1104–1109CrossRefGoogle Scholar
  9. Leisova L, Ovesna J (2001) The use of microsatellite analysis for the identification of wheat varieties. Czech J Genet Plant Breed 37:29–33Google Scholar
  10. Manifesto MM, Schlatter AR, Hopp HE, Suarez HE, Dubcovsky J (2001) Quantitative evaluation of genetic diversity in wheat germplasm using molecular markers. Crop Sci 41:682–690Google Scholar
  11. Nei M (1973) Analysis of gene diversity in subdivised populations. Proc Natl Acad Sci USA 70:3321–3323PubMedGoogle Scholar
  12. Petit RJ, El Mousadik A, Pons O (1998) Identifying populations for conservation on the basis of genetic markers. Cons Biol 12:844–855CrossRefGoogle Scholar
  13. Plaschke J, Ganal MW, Roder MS (1995) Detection of genetic diversity in closely related bread wheat using microsatellite markers. Theor Appl Genet 91:1001–1007CrossRefGoogle Scholar
  14. Prasad M, Varshney RK, Roy JK, Balyan HS, Gupta PK (2000) The use of microsatellites for detecting DNA polymorphism, genotype identification and genetic diversity in wheat. Theor Appl Genet 100:584–592Google Scholar
  15. Röder MS, Korzun V, Wendehake K, Plaschke J, Tixier MH, Leroy P, Ganal MW (1998) A microsatellite map of wheat. Genetics 149:2007–2023PubMedGoogle Scholar
  16. Röder MS, Wendehake K, Korzun V, Bredemeijer G, Laborie D, Bertrand L, Isaac P, Rendell S, Jackson J, Cooke RJ, Vosman B, Ganal MW (2002) Construction and analysis of a microsatellite-based database of European wheat varieties. Theor Appl Genet 106:67–73PubMedGoogle Scholar
  17. Roussel V, Koenig J, Beckert M, Balfourier F (2004) Molecular diversity in French bread wheat accessions related to temporal trends and breeding programmes. Theor Appl Genet 108:920–930CrossRefPubMedGoogle Scholar
  18. Schneider S, Kneffer JM, Roessle D, Excoffier L (1996) arlequin. Genetics and biometry laboratory, Department of Anthropology, University of Geneva, SwitzerlandGoogle Scholar
  19. Zhang XY, Li CW, Wang LF, Wang HM, You GX, Dong YS (2002) An estimation of the minimum number of SSR alleles needed to reveal genetic relationships in wheat varieties I. Information from large-scale planted varieties and cornerstone breeding parents in Chinese wheat improvement and production. Theor Appl Genet 106:112–117PubMedGoogle Scholar

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • V. Roussel
    • 1
  • L. Leisova
    • 2
  • F. Exbrayat
    • 1
  • Z. Stehno
    • 2
  • F. Balfourier
    • 1
  1. 1.Amélioration et Santé des Plantes (UMR 1095)INRAClermont-Ferrand, Cedex 2 France
  2. 2.Research Institute of Crop ProductionPraha 6-RuzyneCzech Republic

Personalised recommendations