Main page Contacts Preview papers   Contents   Themes Subscription Information to authors Editorial board Standard version

Changes in allele frequencies at storage protein loci of winter common wheat under climate change

Kozub N.O., Sozinov I.O., Chaika V.M., Sozinova O.I., Janse L.A., Blume Ya.B.

[Free Internet Supplement]

SUMMARY. Allele frequencies at the storage protein loci Gli-A1, Gli-B1, Gli-D1, Glu-A1, Glu-B1, Glu-D1, and Gli-A3, as well as the population structure, were studied in groups of winter common wheat cultivars developed in different periods of time in two soil and climate zones: the Forest-Steppe of Ukraine (at the Myronivka Remeslo Institute of Wheat (MIW)) and the Steppe of Ukraine (at the Plant Breeding and Genetics Institute (PBGI)), a total of 275 cultivars. The cultivars were grouped based on registration time: before 1996 (period 1), in 1996–2010 (period 2), and after 2010 (period 3). Differences in mean annual temperature in the periods of development of these cultivars amounted 0,6–0,7 °С between periods 1 and 2, and as high as 0,9 and 1,0 °С between periods 2 and 3 for the Forest-Steppe and Steppe zones, respectively. In the groups of winter wheat varieties of both MIW and PBGI developed after 2010, specific sets of predominant alleles were basically retained. At the same time, there were clear correlations between changes in frequencies of certain alleles and annual temperature changes in the locations were selection of genotypes (future cultivars) during breeding took place. The most prominent changes in allele frequencies were revealed for the cultivars developed in the Steppe of Ukraine: for the PBGI cultivars such temporal changes were detected for 10 alleles at 4 loci. Most probably this is due to the fact that in the Steppe zone the annual temperature has reached the high absolute value, and new coadaptive gene associations are being formed and selected during breeding. The increased contribution of wheat germplasm derived from regions with the higher temperatures to winter common wheat breeding in the Steppe zone might be expected.  

Key words: Triticum aestivum L., cultivars, gliadins, high-molecular-weight glutenin subunits, population structure, global warming

Tsitologiya i Genetika 2020, vol. 54, no. 4, pp. 30-45

1. Insitute of Plant Protection, National Academy of Agrarian Sciences of Ukraine, 03022, Kyiv, Vasylkivska str., 33, Ukraine
2. Institute of Food Biotechnology and Genomics, National Academy of Sciences of Ukraine, 04123, Kyiv, Osypovskogo str., 2а, Ukraine
3. National University of Life and Environmental Sciences of Ukraine, 03041, Kyiv, Heroyiv Oborony st., 15, Ukraine

E-mail: natalkozub gmail.com

Kozub N.O., Sozinov I.O., Chaika V.M., Sozinova O.I., Janse L.A., Blume Ya.B. Changes in allele frequencies at storage protein loci of winter common wheat under climate change, Tsitol Genet., 2020, vol. 54, no. 4, pp. 30-45.

In "Cytology and Genetics":
I. O. Sozinov, V. M. Chaika, O. I. Sozinova, L. A. Janse & Ya. B. Blume Changes in Allele Frequencies at Storage Protein Loci of Winter Common Wheat under Climate Change, Cytol Genet., 2020, vol. 54, no. 4, pp. 305–317
DOI: 10.3103/S0095452720040076

References

1. Grigg, D., The pattern of world protein consumption, Geoforum, 1995, vol. 26, no. 1, pp. 1–17. https://doi.org/10.1016/0016-7185(94)00020-8

2. Shewry, P.R. and Hey, S.J., The contribution of wheat to human diet and health, Food Energy Secur., 2015, vol. 4, no 3, pp. 178–202. https://doi.org/10.1002/fes3.64

3. Sozinov, A.A., Protein Polymorphism and Its Importance for Genetics and Breeding, Moscow: Nauka, 1985.

4. Vereijken, J.M., Klostermann, V.L.C., Beckers, F.H.R., Spekking, W.T.J., and Graveland, A., Intercultivar variation in the proportions of wheat protein fractions and relation to mixing behaviour, J. Cereal. Sci., 2000, vol. 32, no. 2, pp. 159–167. https://doi.org/10.1006/jcrs.2000.0333

5. Payne, P.I., Genetics of wheat storage proteins and the effect of allelic variation on bread-making quality, Annu. Rev. Plant Physiol., 1987, vol. 38, pp. 141–153.

6. Metakovsky, E., Melnik, V., Rodriguez-Quijano, M., Upelniek, V., and Carrillo, J.M., A catalog of gliadin alleles: polymorphism of 20th-century common wheat germplasm, Crop J., 2018, vol. 6, no. 6, pp. 628–641. https://doi.org/10.1016/j.cj.2018.02.003

7. McIntosh, R.A., Catalogue of Gene Symbols, Gene Catalogue, 2013. http:www.shigen.nig.ac.jp/wheat/ komugi/genes/download.jspMacGene.

8. Metakovsky, E.V., Chernakov, V.M., Upelniek, V.P., Redaelli, R., Dardevet, M., Branlard, G., and Pogna, N.E., Recombination mapping of ω-gliadin-coding loci on chromosome 1A of common wheat: a revision, J. Genet. Breed., 1996, vol. 50, pp. 277–286.

9. Pogna, N.E., Metakovsky, E.V., Redaelli, R., Raineri, F., and Dachkevitch, T., Recombination mapping of Gli-5, a new gliadin-coding locus on chromosome 1A and 1B in common wheat, Theor. Appl. Genet., 1993, vol. 87, pp. 113–121. https://doi.org/10.1007/BF00223754

10. Jackson, E., Holt, L., and Payne, P., Glu-B2, a storage protein locus controlling the D group of LMW glutenin subunits in bread wheat (Triticum aestivum), Genet. Res., 1985, vol. 46, no. 1, pp. 11–17. https://doi.org/10.1017/S0016672300022412

11. Sobko, T.A., Identification of a locus controlling synthesis of alcohol-soluble proteins of winter wheat endosperm, Visn. Silskohospodar. Nauki, 1984, no. 7, pp. 78–80.

12. Metakovsky, E.V., Branlard, G., Chernakov, V.M., Upelniek, V.P., Redaelli, R., and Pogna, N.E., Recombination mapping of some chromosome 1A-, 1B-, 1D- and 6B-controlled gliadins and low-molecular-weight glutenin subunits in common wheat, Theor. Appl. Genet., 1997, vol. 94, no. 6–7, pp. 788–795. https://doi.org/10.1007/s001220050479

13. Sozinov, A., Sozinov, I., Kozub, N., and Sobko, T., Stable gene associations in breeding and evolution of grasses, in Evolutionary Theory and Processes: Modern Perspectives. Papers in Honor of Eviatar Nevo, Wasser, S.P., Ed., Kluwer Acad. Publ., 1999, pp. 97–113. https://doi.org/10.1007/978-94-011-4830-6_7

14. Kozub, N.A., Sozinov, I.A., Sobko, T.A., Kolyuchii, V.T., Kuptsov, S.V., and Sozinov, A.A., Variation at storage protein loci in winter common wheat cultivars of the Central Forest-Steppe of Ukraine, Cytol. Genet., 2009, vol. 43, no. 1, pp. 55–62. https://doi.org/10.3103/S0095452709010101

15. Laemmli, U.K., Cleavage of structural proteins during the assembly of the head of bacteriophage T4, Nature, 1970, vol. 227, no. 5259, pp. 680–685.

16. Kozub, N.A., Sozinov, I.A., Karelov, A.V., Blume, Ya.B., and Sozinov, A.A., Diversity of Ukrainian winter common wheat varieties with respect to storage protein loci and molecular markers for disease resistance genes, Cytol. Genet., 2017, vol. 51, no. 2, pp. 117–129. https://doi.org/10.3103/S0095452717020050

17. Payne, P.I. and Lawrence, G., Catalogue of alleles for the complex gene loci, Glu-A1, Glu-B1, Glu-D1 which code for high-molecular-weight subunits of glutenin in hexaploid wheat, Cer. Res. Commun., 1983, vol. 11, pp. 29–34.

18. Wrigley, C.W., Asenstorfer, R., Batey, I.L., Cornish, G.B., Day, L., Mares, D., and Mrva, K., The biochemical and molecular basis of wheat quality, in Wheat: Science and Trade, Carver, B.F., Ed., Oxford, UK: Wiley–Blackwell, 2009, ch. 21, pp. 495–520.

19. Baracskai, I., Balázs, G., Liu, L., Ma, W., Oszvald, M., Newberry, M., Tömösközi, S., Láng, L., Bedö, Z., and Bekes, F., A retrospective analysis of HMW and LMW glutenin alleles of cultivars bred in Martonvásár, Hungary, Cer. Res. Commun., 2011, vol. 39, pp. 225–236. https://doi.org/10.1556/CRC.39.2011.2.6

20. Marchylo, B.A., Lukow, O.M., and Kruger, J.E., Quantitative variation in high molecular weight glutenin subunit 7 in some Canadian wheats, J. Cereal. Sci., 1992, vol. 15, pp. 29–37. https://doi.org/10.1016/s0733-5210(09)80054-4

21. Metakovsky, E.V., Gliadin allele identification in common wheat. II Catalogue of gliadin alleles in common wheat, J. Genet. Breed., 1991, vol. 45, pp. 325–344.

22. Sobko, T.A. and Poperelya, F.A. The frequency of alleles of gliadin-coding loci in different cultivars of winter common wheat, Visn. Silskohospodar. Nauki, 1986, no. 5, pp. 84–87.

23. Pritchard, J.R., Stephens, M., and Donnelly, P., Inference of population structure using multilocus genotype data, Genetics, 2000, vol. 155, no. 2, pp. 945–959.

24. Evanno, G., Regnaut, S., and Goudet, J., Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study, Mol. Ecol., 2005, vol. 14, no. 8, pp. 2611–2620. https://doi.org/10.1111/j.1365-294X.2005.02553.x

25. Earl, D.A. and vonHoldt, B.M., STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method, Conserv. Genet. Res., 2012, vol. 4, no. 2, pp. 359–361. https://doi.org/10.1007/s12686-011-9548-7

26. Peakall, R. and Smouse, P.E., GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research, Mol. Ecol. Not., 2006, vol. 6, pp. 288–295. https://doi.org/10.1111/j.1471-8286.2005.01155.x

27. Peakall, R. and Smouse, P.E., GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update, Bioinformatics, 2012, vol. 28, pp. 2537–2539. https://doi.org/10.1093/bioinformatics/bts460

28. Kumar, S., Stecher, G., Li, M., Knyaz, C., and Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms, Mol. Biol. Evol., 2018, vol. 35, pp. 1547–1549.

29. Clark-Carter, D., Doing Quantitative Psychological Research: From Design to Report, Psychology Press, 1997.

30. Poperelya, F.O. and Blagodarova, O.M., Genetics of grain quality of first Ukrainian genotypes of superstrong wheat, Cytol. Genet., 1998, vol. 32, no. 6, pp. 11–19.

31. Nevo, E. and Payne, P.I., Wheat storage proteins: diversity of HMW glutenin subunits in wild emmer from Israel. 1. Geographical patterns and ecological predictability, Theor. Appl. Genet., 1987, vol. 74, pp. 827–836.

32. Metakovsky, E.V., Pogna, N.E., Biancardi, A.M., and Redaelli, R., Gliadin composition of common wheat cultivars grown in Italy, J. Genet. Breed., 1994, vol. 48, pp. 55–66.

33. Chernakov, V.M. and Metakovsky, E.V. Diversity of gliadin-coding locus allelic variants and evaluation of genetic similarity of common wheat varieties from different breeding centers, Genetika, 1994, vol. 30, pp. 509–17.

34. Metakovsky, E.V. and Branlard, G., Genetic diversity of French common wheat germplasm based on gliadin alleles, Theor. Appl. Genet., 1998, vol. 96, pp. 209–218.

35. Sobko, T.A. and Sozinov, A.A., Analysis of genotype structure of common wheat cultivars licensed for growing in Ukraine using genetic markers, Cytol. Genet., 1999, vol. 33, pp. 30–41.

36. Metakovsky, E.V., Gomes, M., Vasquez, J.F., and Carrillo, J.M., High genetic diversity of Spanish common wheats as judged from gliadin alleles, Plant Breed., 2000, vol. 119, pp. 37–42.

37. Wrigley, C.W., Békés, F., Cavagh, C.R., and Bushuk, W., The Gluten Composition of Wheat Varieties and Genotypes, 2006. http://www.aaccnet.org/initiatives/definitions/Pages/ gliadin.aspx.

38. Blagodarova, O.M., Lytvynenko, M.A., and Golub, Ye.A., Gene geography of alleles at gliadin- and glutenin-coding loci of Ukrainian winter common wheat varieties and their association with agronomical traits, Collect. Sci. Paper.Inst. Breed. Genet., 2004, vol. 46, no. 6, pp. 124–138.

39. Novosel’skaya-Dragovich, A.Y., Krupnov, V.A., Saifulin, R.A., and Pukhalskiy, V.A, Dynamics of genetic variation at gliadin-coding loci in Saratov cultivars of common wheat Triticum aestivum L. over eight decades of scientific breeding, Genetika, 2003, vol. 39, pp. 1347–1352.

40. Roussel, V., Koenig, J., Beckert, M., and Balfourier, F., Molecular diversity in French bread wheat accessions related to temporal trends and breeding programmes, Theor. Appl. Genet., 2004, vol. 108, pp. 920–930. https://doi.org/10.1007/s00122-003-1502-y

41. Orabi, J., Jahoor, A., and Backes, G., Changes in allelic frequency over time in European bread wheat (Triticum aestivum L.) varieties revealed using DArT and SSR markers, Euphytica, 2014, vol. 197, pp. 447–462. https://doi.org/10.1007/s10681-014-1080-x

42. Laido, G., Mangini, G., Taranto, F., Gadaleta, A., Blanco A., Cattivelli, L., Marone, D., Mastrangelo, A.M., Papa, R., and De Vita, P. Genetic diversity and population structure of tetraploid wheats (Triticum turgidum L.) estimated by SSR, DArT and pedigree data, PLoS One, 2013, vol. 8, no. 6, e67280. https://doi.org/10.1371/journal.pone.0067280

43. Balfourier, F., Bouchet, S., Robert, S., De Oliveira, R., Rimbert, H., Kitt, J., and Choulet, F., International Wheat Genome Sequencing Consortium, Breed Wheat Consortium, Paux E., Worldwide phylogeography and history of wheat genetic diversity, Sci. Adv., 2019, vol. 5, no. 5, eaav0536. https://doi.org/10.1126/sciadv.aav0536

44. Zhang, L., Liu, D., Guo, X., Yang, W., Sun, J., Wang, D., Sourdille, P., and Zhang, A., Investigation of genetic diversity and population structure of common wheat cultivars in northern China using DArT markers, BMC Genet., 2011, vol. 12, p. 42. http://www.biomed-central.com/1471-2156/12/42https://doi.org/10.1186/1471-2156-12-42

45. Lopes, M.S, Dreisigacker, S., Peca, R.J., Sukumaran, S., and Reynolds, M.P., Genetic characterization of the wheat association mapping initiative (WAMI) panel for dissection of complex traits in spring wheat, Theor. Appl. Genet., 2015, vol. 128, pp. 453–464. https://doi.org/10.1007/s00122-014-2444-2

46. Chen, T., Tantasawat, P.A., Wang, W., Gao, X., and Zhang, L., Population structure of Chinese south west wheat germplasms resistant to stripe rust and powdery mildew using the DArT-seq technique, Ciencia Rural, Santa Maria, 2018, vol. 48, no. 4, e20 160 066. https://doi.org/10.1590/0103-8478cr20160066

47. Nielsen, N.H., Backes, G., Stougaard, J., Andersen, S.U., and Jahoor, A., Genetic diversity and population structure analysis of European hexaploid bread wheat (Triticum aestivum L.) varieties, PLoS One, 2014, vol. 9, no. 4, e94 000. https://doi.org/10.1371/journal.pone.0094000

48. Maccaferri, M., Harris, N.S., Twardziok, S.O., et al., Durum wheat genome highlights past domestication signatures and future improvement targets, Nat. Genet., 2019, vol. 51, pp. 885–895. https://doi.org/10.1038/s41588-019-0381-3

49. Boychenko, S., Voloshchuk, V., Movchan, Ya., Ser-djuchenko, N, Tkachenko, V., Tyshchenko, O., and Savchenko, S., Features of climate change on Ukraine: scenarios, consequences for nature and agro-ecosystems, Proc. Natl. Aviat. Univ., 2016, vol. 69, no. 4, pp. 96–113. https://doi.org/10.18372/2306-1472.69.11061

50. Jones, P.D., Lister, D.H., Osborn, T.J., Harpham, C., Salmon, M., and Morice, C.P., Hemispheric and large-scale land surface air temperature variations: an extensive revision and an update to 2010, J. Geoph. Res., 2012, vol. 117, D05127. doi 10.10292011JD017139

51. Diab, A., Kantety, R.V., Ozturk N.Z., Benscher, D., Nachit, M.V., and Sorrells, M.E., Drought-inducible genes and differentially expressed sequence tags associated with components of drought tolerance in durum wheat, Sci. Res. Essay, 2008, vol. 3, pp. 9–26.

52. Xu, Y., Li, S., Li, L. Ma, F., Fu, X., Shi, Z., Xu, H., Ma, P., and An, D., QTL mapping for yield and photosynthetic related traits under different water regimes in wheat, Mol. Breed., 2017, vol. 37, e34. https://doi.org/10.1007/s11032-016-0583-7

53. El-Feki, W., Byrne, P.F., Reid, S.D., and Haley, S.D., Mapping quantitative trait loci for agronomic traits in winter wheat under different soil moisture levels, Agronomy, 2018, vol. 8, e133. https://doi.org/10.3390/agronomy8080133

54. Ovenden, B., Milgate, A., Wade, L.J., Rebetzke, G.J., and Holland, J.B., Genome-wide associations for water-soluble carbohydrate concentration and relative maturity in wheat using SNP and DArT marker arrays, G3: Genes, Genomes,Genet., 2017, vol. 7, pp. 2821–2830. https://doi.org/10.1534/g3.117.039842

55. Soriano, J.M. and Alvaro, F., Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis, Sci. Rep., 2019, vol. 9, e10 537.https://doi.org/10.1038/s41598-019-47038-2

56. Joukhadar, R., Daetwyler, H.D., Bansal, U.K., Gendall, A.R., and Hayden, M.J., Genetic diversity, population structure and ancestral origin of Australian wheat, Front. Plant Sci., 2017, vol. 8, e2115. https://doi.org/10.3389/fpls.2017.02115

57. Nevo, E., Fu, Y., Pavlicek, T., Khalifa, S., Tavasi, M., and Avigdor, A., Evolution of wild cereals during 28 years of global warming in Israel, Proc. Natl. Acad. Sci. U. S. A., 2012, vol. 109, no. 9, pp. 3412–3415. https://doi.org/10.1073/pnas.1121411109

58. Qian, C., Yan, X., Shi, Y. Yin, H., Chang, Y., Chen, J., Ingvarsson, P.K., Nevo, E., and Ma, X., Adaptive signals of flowering time pathways in wild barley from Israel over 28 generations, Heredity, 2020, vol. 124, pp. 62–76. https://doi.org/10.1038/s41437-019-0264-5