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Genetic diversity of old bread wheat germplasm from the Black Sea region evaluated by microsatellites and agronomic traits

Published online by Cambridge University Press:  14 July 2014

Svetlana Landjeva*
Affiliation:
Institute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, 1113Sofia, Bulgaria
Ganka Ganeva
Affiliation:
Institute of Plant Physiology and Genetics, Bulgarian Academy of Sciences, 1113Sofia, Bulgaria
Viktor Korzun
Affiliation:
KWS LOCHOW GMBH, Ferdinand-von-Lochow-Straße 5, 29303Bergen, Germany
Dean Palejev
Affiliation:
Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113Sofia, Bulgaria
Sabina Chebotar
Affiliation:
Plant Breeding and Genetics Institute – National Center of Seed and Cultivar Investigations, Ovidiopolskaya doroga 3, 65036Odessa, Ukraine
Alexander Kudrjavtsev
Affiliation:
Vavilov Institute of General Genetics, Russian Academy of Sciences, Gubkina Street 3, 119991Moscow, Russia
*
*Corresponding authors:Corresponding author. E-mails: [email protected]; [email protected]

Abstract

Old germplasm is an important genetic resource for enhancing modern crops with new alleles. In the present study, the genetic diversity of 52 historic varieties and landraces of bread wheat originated from the Western (Bulgaria) and Northeastern (Ukraine, Russia and Georgia) regions of the Black Sea basin was assessed based on microsatellite markers and agronomic characteristics. A set of 24 markers detected a total of 263 alleles at 25 microsatellite loci, with an average number of 10.5 alleles per locus and an average polymorphic information content (PIC) of 0.74. A total of 63 alleles at 22 loci were unique, being specific to a particular accession. Half of the alleles (132) were regionally specific, and the rest were common between the Western and Northeastern accessions. The latter group was characterized with greater total and private allelic richness, a higher number of unique alleles and a higher average PIC. The population was found to be very heterogeneous (average heterogeneity 41%), with the Northeastern pool (52.8%) being more diverse than the Western pool (30.9%). Most of the accessions of the Western group clustered together, and the rest were distributed among the subclusters of the Northeastern germplasm. Large inter-group differences in the frequencies of alleles ranging from 3.1 at Xgwm294-2A to 16.7 at Xgwm333-7B were observed. This variation might partly account for the differences in certain yield-related traits. The Northeastern accessions had significantly longer spikes with more number of spikelets. Some issues related to germplasm preservation in seed genebanks are discussed herein. The large molecular variation observed could be utilized by breeders for the selection of diverse parents, or by researchers for the production of mapping populations.

Type
Research Article
Copyright
Copyright © NIAB 2014 

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References

Al Khanjari, S, Hammer, K, Buerkert, A and Röder, MS (2007) Molecular diversity of Omani wheat revealed by microsatellites: II. Hexaploid landraces. Genetic Resources and Crop Evolution 54: 14071417.Google Scholar
Balfourier, F, Roussel, V, Strelchenko, P, Exbrayat-Vinson, F, Sourdille, P, Boutet, G, Koenig, J, Ravel, C, Mitrofanova, O, Beckert, M and Charmet, G (2007) A worldwide bread wheat core collection arrayed in a 384-well plate. Theoretical and Applied Genetics 114: 12651275.Google Scholar
Börner, A (2006) Preservation of plant genetic resources in the biotechnology era. Biotechnology Journal 1: 13931404.Google Scholar
Börner, A, Chebotar, S and Korzun, V (2000) Molecular characterization of the genetic integrity of wheat (Triticum aestivum L.) germplasm after long-term maintenance. Theoretical and Applied Genetics 100: 494497.Google Scholar
Camacho Villa, T, Maxted, N, Scholten, M and Ford-Lloyd, B (2005) Defining and identifying crop landraces. Plant Genetic Resources: Characterization and Utilization 3: 373384.Google Scholar
Chebotar, S (2004) Microsatellite analysis of winter wheat varieties that were a basis of breeding process at the South of Ukraine. Selection, seed production and cultivation of field crops. Proceedings of International scientific conference “Problems of agricultural production in the region of Southern Russia (landscape farming system, soil fertility, plant breeding and seed production)”, 7–9 June 2004, Rostov-on-Don , pp. 126130.Google Scholar
Denčić, S, Kastori, R, Kobiljski, B and Duggan, B (2000) Evaluation of grain yield and its components in wheat cultivars and landraces under near optimal and drought conditions. Euphytica 113: 4352.Google Scholar
Devos, KM, Bryan, GJ, Collins, AJ, Stephenson, P and Gale, MD (1995) Application of two microsatellite sequences in wheat storage proteins as molecular markers. Theoretical and Applied Genetics 90: 247252.Google Scholar
Dobrovolskaya, O, Saleh, U and Malysheva-Otto, L (2005) Rationalising germplasm collections: a case study for wheat. Theoretical and Applied Genetics 111: 13221329.Google Scholar
Dotlačil, L, Hermuth, J, Stehno, Z, Dvoráček, V, Bradová, J and Leišová, L (2010) How can wheat landraces contribute to present breeding? Czech Journal of Genetics and Plant Breeding 46 (Special Issue): S70S74.Google Scholar
Gregová, E, Hermuth, J, Kraic, J and Dotlačil, L (2006) Protein heterogeneity in European wheat landraces and obsolete cultivars: additional information II. Genetic Resources and Crop Evolution 53: 867871.Google Scholar
Heidari, B, Sayed-Tabatabaei, BE, Saeidi, G, Kearsey, M and Suenaga, K (2011) Mapping QTL for grain yield, yield components, and spike features in a doubled haploid population of bread wheat. Genome 54: 517527.Google Scholar
Huang, XQ, Börner, A, Röder, MS and Ganal, MW (2002) Assessing genetic diversity of wheat (Triticum aestivum L.) germplasm using microsatellite markers. Theoretical and Applied Genetics 105: 699707.Google Scholar
Jorjadze, M, Berishvili, T and Shatberashvili, E (2014) The ancient wheats of Georgia and their traditional use in the southern part of the country. Emirates Journal of Food and Agriculture 26: 192202.Google Scholar
Khlestkina, EK, Röder, MS, Efremova, TT, Börner, A and Shumny, VK (2004) The genetic diversity of old and modern Siberian varieties of common spring wheat as determined by microsatellite markers. Plant Breeding 123: 122127.Google Scholar
Khlestkina, EK, Giura, A, Röder, MS and Börner, A (2009) A new gene controlling the flowering response to photoperiod in wheat. Euphytica 165: 579585.Google Scholar
Khvoiko, VV (1909) Excavations in the square of the village Kritoborodintsakh, Letichevsk municipality, Podolsk region and near the village of Veremiye, Kiev municipality Tr. Mosk. Arkheolog. Obshch. T. XXII, vip. 2. M., pp. 281–309. Google Scholar
Konovalova, IG (1994) Export of grain from the North-Western Black Sea region in the XIV century and its importance for the economic development of the region. In: Dragnev, D (ed.) Evul Mediu Timpuriu în Moldova: Probleme de Istoriografie şi Istoria Urbană. Chişinău: Romanian Edition, pp. 108125.Google Scholar
Korzun, VN, Röder, MS, Ganal, MW, Worland, AJ and 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 L.). Theoretical and Applied Genetics 96: 11041109.Google Scholar
Leonova, I, Pestsova, E, Salina, E, Efremova, T, Röder, M, Börner, A and Fischbeck, G (2003) Mapping of the Vrn-B1 gene in Triticum aestivum using microsatellite markers. Plant Breeding 122: 209212.Google Scholar
Maccaferri, M, Sanguineti, MC, Donini, P and Tuberosa, R (2003) Microsatellite analysis reveals a progressive widening of the genetic basis in the elite durum wheat germplasm. Theoretical and Applied Genetics 107: 783797.Google Scholar
Majdrakov, P (1945) For wheat from Pavlikeni. Seed Production 4: 132141.Google Scholar
Martynov, S, Dobrotvorskaya, T, Hon, I and Faberova, I (2006) Wheat pedigree and identified alleles of genes on Line. Crop Research Institute, Prague. Available at http://genbank.vurv.cz/wheat/pedigree/.Google Scholar
Mitrofanova, OP, Strelchenko, PP, Konarev, AV and Balfourier, F (2009) Genetic differentiation of hexaploid wheat inferred from analysis of microsatellite loci. Russian Journal of Genetics 45: 13511359.Google Scholar
Newton, AC, Akar, T, Baresel, JP, Bebeli, PJ, Bettencourt, E, Bladenopoulos, KV, Czembor, JH, Fasoula, DA, Katsiotis, A, Koutis, K, Koutsika-Sotiriou, M, Kovacs, G, Larsson, H, Pinheiro de Carvalho, MAA, Rubiales, D, Russell, JR, dos Santos, TMM and Vaz Patto, MC (2010) Cereal landraces for sustainable agriculture. A review. Agronomy for Sustainable Development 30: 237269.CrossRefGoogle Scholar
Pinheiro de Carvalho, MAA, Bebeli, PJ, Bettencourt, E, Costa, G, Dias, S, Dos Santos, TMM and Slaski, JJ (2013) Cereal landraces genetic resources in worldwide GeneBanks. A review. Agronomy for Sustainable Development 33: 177203.Google Scholar
R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at http://www.R-project.org/.Google Scholar
Ribeiro-Carvalho, C, Guedes-Pinto, H, Igrejas, G, Stephenson, P, Schwarzacher, T and Heslop-Harrison, JS (2004) High levels of genetic diversity throughout the range of the Portuguese wheat landrace ‘Barbela’. Annals of Botany 94: 699705.Google Scholar
Rogowsky, PM, Guidet, FLY, Langridge, P, Shepherd, KW and Koebner, RMD (1991) Isolation and characterisation of wheat-rye recombinants involving chromosome arm 1DS of wheat. Theoretical and Applied Genetics 82: 537544.Google Scholar
Roussel, V, Koenig, J, Beckert, M and Balfourier, F (2004) Molecular diversity in French bread wheat accessions related to temporal trends and breeding programs. Theoretical and Applied Genetics 108: 920930.Google Scholar
Röder, MS, Korzun, V, Wendehake, K, Plaschke, J, Tixier, M-H, Leroy, P and Ganal, MW (1998) A microsatellite map of wheat. Genetics 149: 20072023.Google Scholar
Serpolay, E, Dawson, JC, Chable, V, Lammerts Van Bueren, E, Osman, A, Pino, S, Silveri, D and Goldringer, I (2011) Diversity of different farmer and modern wheat varieties cultivated in contrasting organic farming conditions in western Europe and implications for European seed and variety legislation. Organic Agriculture 1: 127145.Google Scholar
Smale, M, with contributions from Aquino P, Crossa, J, del Toro, E, Dubin, J, Fischer, T, Fox, P, Khairallah, M, Mujeeb-Kazi, A, Nightingale, KJ, Ortiz-Monasterio, I, Rajaram, S, Singh, R, Skovmand, B, van Ginkel, M, Varughese, G and Ward, R (1996) Understanding global trends in the use of wheat diversity and international flows of wheat genetic resources. Economics Working Paper 96-02. Mexico, D.F. CIMMYT.Google Scholar
Šíp, V, Chrpová, J, Žofajová, A, Pánková, K, Užík, M and Snape, JW (2010) Effects of specific Rht and Ppd alleles on agronomic traits in winter wheat cultivars grown in middle Europe. Euphytica 172: 221233.Google Scholar
Stachel, M, Lelley, T, Grausgruber, H and Vollmann, J (2000) Application of microsatellites in wheat (Triticum aestivum L.) for studying genetic differentiation caused by selection for adaptation and use. Theoretical and Applied Genetics 100: 242248.Google Scholar
StatSoft (2005) Statistica 7 (StatSoft Inc.: Tulsa, OK). Available at www.statsoft.com/textbook/.Google Scholar
van de Wouw, M, Kik, C, van Hintum, T, van Treuren, R and Visser, B (2009) Genetic erosion in crops: concept, research results and challenges. Plant Genetic Resources: Characterization and Utilization 8: 115.Google Scholar
Ward, JH Jr (1963) Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58: 236244.Google Scholar
Yao, J, Wang, L, Liu, L, Zhao, C and Zheng, Y (2009) Association mapping of agronomic traits on chromosome 2A of wheat. Genetica 137: 6775.Google Scholar
Zeven, AC (1998) Landraces: a review of definitions and classifications. Euphytica 104: 127139.Google Scholar
Zhao, C, Cui, F, Fan, Z, Li, J, Ding, A and Wang, H (2013) Genetic analysis of important loci in the winter wheat backbone parent Aimengniu-V. Australian Journal of Crop Science 7: 182188.Google Scholar
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