Molecular Breeding

, Volume 20, Issue 4, pp 309–322

Temporal trends of genetic diversity in European barley cultivars (Hordeum vulgare L.)

  • Lyudmylla Malysheva-Otto
  • Martin W. Ganal
  • John R. Law
  • James C. Reeves
  • Marion S. Röder


The changes of genetic diversity over time were monitored in 504 European barley cultivars released during the 20th century by genotyping with 35 genomic microsatellites. For analysis, the following four temporal groups were distinguished: 1900–1929 (TG1 with 19 cultivars), 1930–1949 (TG2 with 40 cultivars), 1950–1979 (237 cultivars as TG3), and 1980–2000 (TG4 consisting of 208 cultivars). After rarefaction of allelic diversity data to the comparable sample size of 18 varieties, of the 159 alleles found in the first group (TG1) 134 were retained in the last group (TG4) resulting in a loss of only 15.7% of alleles. On the other hand 51 novel alleles were discovered in the group representing the last investigated time period (TG4) in comparison with the TG1. Novel alleles appeared evenly distributed over the genome, almost at all investigated genomic loci, with up to five such novel alleles per locus. Alleles specific for a temporal group were discovered for all investigated time periods, however analysis of molecular variance (AMOVA) did not reveal any significant population structure attributable to temporal decadal grouping. Only 2.77% of the total observed variance was due to differences between the four temporal groups and 1.42% between individual decades of the same temporal group, while 95.81% of the variance was due to variation within temporal groups. The distinction between two-rowed and six-rowed genetic types accounted for 19.5% of the total observed variance by AMOVA, whereas the comparison between ‘winter’ and ‘spring’ types accounted for 17% of the total observed variation. The analysis of linkage disequilibrium did not reveal statistically significant differences between the temporal groups. The results indicated that the impact of breeding effort and variety delivery systems did not result in any significant quantitative losses of genetic diversity in the representative set of barley cultivars over the four time periods.


Impact of breeding Genetic diversity Genetic erosion Simple sequence repeats (SSR) Molecular variance Linkage disequilibrium Barley 


  1. Christiansen MJ, Andersen SB, Ortiz R (2002) Diversity changes in an intensively bred wheat germplasm during the 20th century. Mol Breed 9:1–11CrossRefGoogle Scholar
  2. Donini P, Law JR, Koebner RMD, Reeves JC, Cooke RJ (2000) Temporal trends in the diversity of UK wheat. Theor Appl Genet 100:912–917CrossRefGoogle Scholar
  3. Fu Y-B, Peterson GW, Richards KW, Somers D, DePauw RM, Clarke JM (2005) Allelic reduction and genetic shift in the Canadian hard red spring wheat germplasm released from 1845 to 2004. Theor Appl Genet 110:1505–1516PubMedCrossRefGoogle Scholar
  4. Fu Y-B, Peterson GW, Yu Ju-K, Gao L, Jia J, Richards KW (2006) Impact of plant breeding on genetic diversity of the Canadian hard red spring wheat germplasm as revealed by EST-derived SSR markers. Theor Appl Genet 112:1239–1247PubMedCrossRefGoogle Scholar
  5. Fu Y-B (2006) Impact of plant breeding on genetic diversity of agricultural crops: searching for molecular evidence. Plant Genet Res 4:71–78Google Scholar
  6. Glemin S, Gaude T, Guillemin M-L, Lourmas M, Olivieri I, Mignot A (2005) Balancing selection in the wild: testing population genetics theory of self-incompatibility in the rare species Brassica insularis. Genetics 171:279–289PubMedCrossRefGoogle Scholar
  7. Hinds DA, Stuve LL, Nilsen GB, Halperin E, Eskin E, Ballinger DG, Frazer KA, Cox DR (2005) Whole-genome patterns of common DNA variation in three human populations. Science 307:1072–1079PubMedCrossRefGoogle Scholar
  8. Huang XQ, Wolf M, Ganal MW, Orford S, Koebner RMD, Röder MS (2007) Did modern plant breeding lead to genetic erosion in European winter wheat varieties? Crop Sci 47:343–349CrossRefGoogle Scholar
  9. Khlestkina EK, Huang XQ, Quenum FJB, Chebotar S, Röder MS, Börner A (2004) Genetic diversity in cultivated plants-loss or stability. Theor Appl Genet 108:1466–1472PubMedCrossRefGoogle Scholar
  10. Khlestkina EK, Varshney RK, Röder MS, Graner A, Börner A (2006) A comparative assessment of genetic diversity in cultivated barley collected in different decades of the last century in Austria, Albania and India by using genomic and genic SSR markers. Plant Genet Resour 4:125–133CrossRefGoogle Scholar
  11. 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
  12. Kraakman ATW, Niks RE, Van der Berg PM, Stam P, Van Eeuwijk FA (2004) Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars. Genetics 168:435–446PubMedCrossRefGoogle Scholar
  13. Le Clerc V, Cadot V, Canadas M, Lallemand J, Guerin D, Boulineau F (2006) Indicators to assess temporal genetic diversity in the French catalogue: no losses for maize and peas. Theor Appl Genet 113:1197–1209PubMedCrossRefGoogle Scholar
  14. Li Y, Röder MS, Fahima T, Kirzhner V, Beiles A, Korol AB, Nevo A (2000) Natural selection causing microsatellite divergence wild emmer wheat at the ecologically variable microsite at Ammiad, Israel. Theor Appl Genet 100:985–999CrossRefGoogle Scholar
  15. Li JZ, Sjakste TG, Röder MS, Ganal MW (2003) Development and genetic mapping of 127 new microsatellite markers in barley. Theor Appl Genet 107:1021–1027PubMedCrossRefGoogle Scholar
  16. Liu ZW, Biyashev RM, Saghai Maroof MA (1996) Development of simple sequence repeat DNA markers and their integration into a barley linkage map. Theor Appl Genet 93:869–876Google Scholar
  17. Lu H, Bernardo R (2001) Molecular marker diversity among current and historical maize inbreds. Theor Appl Genet 103:613–617CrossRefGoogle Scholar
  18. Maccaferri M, Sanguineti MC, Noli E, Tuberosa R (2005) Population structure and long-range linkage disequilibrium in a durum wheat elite collection. Mol Breed 15:271–289CrossRefGoogle Scholar
  19. Malysheva-Otto LV, Ganal MW, Röder MS (2006) Analysis of molecular diversity, population structure and linkage disequilibrium in a worldwide survey of cultivated barley germplasm (Hordeum vulgare L.). BMC Genet 7:6PubMedCrossRefGoogle Scholar
  20. Nei M (1973) Analysis of gene diversity in subdivided populations. Proc Natl Acad Sci USA 70:3321–3323PubMedCrossRefGoogle Scholar
  21. Nei M, Li WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc Natl Acad Sci USA 76:5269–5273PubMedCrossRefGoogle Scholar
  22. Ordon F, Ahlemeyer J, Werner K, Köhler W, Friedt W (2005) Molecular assessment of genetic diversity in winter barley and its use in breeding. Euphytica 146:21–28CrossRefGoogle Scholar
  23. Petit RJ, Mousadik AE, Pons O (1998) Identifying populations for conservation on the basis of genetic markers. Conserv Biol 12:844–855CrossRefGoogle Scholar
  24. Ramsay L, Macaulay M, Ivanissevich degli S, MacLean K, Cardle L, Fuller J, Edwards KJ, Tuvesson S, Morgante M, Massari A, Maestri E, Marmiroli N, Sjakste T, Ganal M, Powell W, Waugh R (2000) A simple sequence repeat-based linkage map of barley. Genetics 156:1997–2005PubMedGoogle Scholar
  25. Reeves JC, Chiapparino E, Donini P, Ganal M, Guiard J, Hamrit S, Heckenberger M, Huan XQ, Van Kaauwen M, Kochieva E, Koebner R, Law JR, Lea V, LeClerc V, Van der Lee T, Leigh F, Van der Linden G, Malysheva L, Melchinger AE, Orford S, Reif JC, Röder M, Schulman A, Vosman B, Van der Wiel C, Wolf M, Zhang D (2004) Changes over time in the genetic diversity of four major European crops: a report from the Gediflux Framework 5 project. Proceedings of the XVIIth EUCARPIA General Congress, Tulln, Austria, 8–11 September 2004, 3–7Google Scholar
  26. Reif JC, Hamrit S, Heckenberger M, Schipprack W, Maurer HP, Bohn M, Melchinger AE (2005a) Trends in genetic diversity among European maize cultivars and their parental components during the past 50 years. Theor Appl Genet 111:838–845CrossRefGoogle Scholar
  27. Reif JC, Zhang P, Dreisigacker S, Warburton ML, van Ginkel M, Hoisington D, Bohn M, Melchinger AE (2005b) Wheat genetic diversity trends during domestication and breeding. Theor Appl Genet 110:859–864CrossRefGoogle Scholar
  28. 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
  29. Röder MS, Wendehake K, Korzun V, Bredemeijer G, Laborie D, Bertrand L, Isaac P, Rendell S, Jackson J, Vosman B, Ganal MW (2002) Construction and analysis of a microsatellite-based database of European wheat varieties. Theor Appl Genet 106:67–73PubMedGoogle Scholar
  30. Rohlf FJ (1998) NTSYS-pc: numerical taxonomy and multivariate analysis system. Applied Biostatistics Inc., New YorkGoogle Scholar
  31. Roussel V, Leisova L, Exbrayat F, Stehno Z, Balfourier F (2005) SSR allelic diversity changes in 480 European bread wheat varieties released from 1840 to 2000. Theor Appl Genet 111:162–170PubMedCrossRefGoogle Scholar
  32. Roussel V, Koenig J, Beckert M, Balfourier F (2004) Molecular diversity in French bread wheat accessions related to temporal trends and breeder origin. Theor Appl Genet 108:920–930PubMedCrossRefGoogle Scholar
  33. Russell JR, Ellis RP, Thomas WTB, Waugh R, Provan J, Booth A, Fuller J, Lawrence P, Young G, Powell W (2000) A retrospective analysis of spring barley germplasm development from ‘foundation genotypes’ to currently successful cultivars. Mol Breed 6:553–568CrossRefGoogle Scholar
  34. Schneider S, Roessli D, Excoffier L (2002) Arlequin ver 2.001: a software for population genetics data analysis. Genetics and Biometry Laboratory, University of Geneva, Switzerland (available at Scholar
  35. Soleimani VD, Baum BR, Johnson DA (2005) Genetic diversity among barley cultivars assessed by sequence-specific amplification polymorphism. Theor Appl Genet 110:1290–1300PubMedCrossRefGoogle Scholar
  36. Struss D, Plieske J (1998) The use of microsatellite markers for detection of genetic diversity in barley populations. Theor Appl Genet 97:308–315CrossRefGoogle Scholar
  37. Tanksley SD, McCouch SR (1997) Seed banks and molecular maps: unlocking genetic potential from the wild. Science 277:1063–1066PubMedCrossRefGoogle Scholar
  38. Yeh FC, Yang RC, Boyle T, Ye ZH, Mao JX (1997) POPGENE, the user-friendly shareware for population genetic analysis. Molecular Biology and Biotechnology Center, University of Alberta, CanadaGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Lyudmylla Malysheva-Otto
    • 1
  • Martin W. Ganal
    • 2
  • John R. Law
    • 3
  • James C. Reeves
    • 3
  • Marion S. Röder
    • 1
  1. 1.Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)GaterslebenGermany
  2. 2.TraitGenetics GmbHGaterslebenGermany
  3. 3.NIABCambridgeUK

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