SavedAdd your journal

Journals / Journal of Agricultural Sciences / 2026 / Volume: 21 Issue: 3

Dissection of Barley Landraces Originated From Twelve Different

Basit Sıra Tekrarı İşaretleyicilerini Kullanarak On İki Farklı Ülkeden Köken Alan Arpa Yerel Çeşitlerinin İncelenmesi

Hülya Sipahi
Ayşen Yumurtacı
Pages
—
Publication Date
2015-08-12
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results provided additional genetic information about the barley landraces from different countries for future breeding process.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Landraces, as an important source of genetic diversity, are important for improvement of crop species.
📊
Key Findings & Data:Investigating of genetic diversity among landraces is necessary to conserve genetic resources and develop future strategies on barley breeding.
💡
Conclusion & Impact:The results provided additional genetic information about the barley landraces from different countries for future breeding process.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Barley · Landraces · SSRs

Abstract

Landraces, as an important source of genetic diversity, are important for improvement of crop species. Investigating of genetic diversity among landraces is necessary to conserve genetic resources and develop future strategies on barley breeding. In this study, genetic diversity in barley landraces originating from twelve countries was studied using simple sequence repeat (SSR) markers. Sixteen SSR markers belong to the seven barley linkage groups revealed high genetic diversity. A total of 92 polymorphic alleles were scored and the number of alleles ranged from 1 to 7 per locus, with an average of 5.75. Genetic diversity was the highest in landraces from Turkey (0.66 ± 0.13) and the lowest in those from Ukraine (0.38 ± 0.24). While the highest percentage of polymorphic loci was found for landraces from Germany, Netherland, Russia, Turkey and USA as 100%, the lowest one was in England with 75%. Clustering analysis of landraces divided them into four main groups. The results provided additional genetic information about the barley landraces from different countries for future breeding process.

Özet

Genetik çeşitliliğin önemli bir kaynağı olan yerel çeşitler, tahıl türlerinin geliştirilmesi için önemlidirler. Yerel çeşitler arasındaki genetik çeşitliliğin araştırılması, genetik kaynakları koruma ve arpa ıslahında gelecek stratejileri geliştirme için önemlidir. Bu çalışmada, on iki ülkeden köken alan arpa yerel çeşitlerindeki genetik çeşitlilik, basit sıra tekrarları (BST) işaretleyicileri kullanılarak çalışılmıştır. Yedi arpa bağlantı grubuna ait onaltı BST işaretleyicisi yüksek genetik çeşitliği ortaya çıkarmıştır. Toplamda 92 polimorfik allel sayılmış ve allel sayısı 5.75 ortalama ile lokus başına 1 ila 7 arasında olmuştur. Genetik çeşitlilik en yüksek Türkiye yerel çeşitlerinde (0.66 ± 0.13), en düşük Ukrayna yerel çeşitlerinde (0.38 ± 0.24) belirlenmiştir. Polimorfik lokus yüzdesi, Almanya, Holanda, Rusya, Türkiye ve Amerika’da en yüksek yani % 100 iken, % 75 ile en düşük İngiltere’de bulunmuştur. Yerel çeşitlerin kümeleme analizleri onları dört ana gruba ayırmıştır. Sonuçlar gelecekteki ıslah çalışmaları için farklı ülkelerden arpa yerel çeşitleri hakkında ilave genetik bilgiler sağlamıştır.

🔖

Cite This Article

Sipahi, H., Yumurtacı, A. (2015). Dissection of Barley Landraces Originated From Twelve Different. Journal of Agricultural Sciences, Volume: 21 Issue: 3. https://doi.org/10.1501/Tarimbil_0000001345

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (39)

  1. Ahmed M (2002). Assessment of genomic diversity among wheat genotypes as determined by simple sequence repeats. Genome 45(4): 646-651
  2. Badr A, Muller K, Schafer-Pregl R, El Rabey H, Effgen S, Ibrahim H H, Pozzi C, Rohde W & Salamini F (2000). On the origin and domestication history of barley (Hordeum vulgare). Molecular Biology Evolution 17(4): 499-510
  3. Becher S A, Steinmetz K, Weising K, Boury S, Peltier D, Renou J P, Kahl G & Wolff K (2000). Microsatellites for cultivar identification in Pelargonium. Theoretical and Applied Genetics 101(4): 643-651
  4. Dizkirici A, Guren H E, Onde S, Temel F, Akar T, Budak H & Kaya Z (2008). Microsatellite (SSR) variation in barley germplasm and its potential use for marker assisted selection in scald resistance breeding. International Journal of Integrative Biology 4(1): 9-15
  5. Fu Y & Horbach B (2012). Genetic diversity in a core subset of wild barley germplasm. Diversity 4(2): 239- 257
  6. Hagenblad J, Zie J & Leino M W (2012). Exploring the population genetics of genebank and historical landrace varieties. Genetics Resources and Crop Evolution 59(6): 1185-1199
  7. Hokanson S C, Szewc-McFadden A K, Lamboy W F & McFerson J R (1998). Microsatellite (SSR) markers reveal genetic identities, genetic diversity and relationships in a Malus × domestica borkh. core subset collection. Theoretical and Applied Genetics 97(5): 671-683
  8. Hu X, Wang J, Lu P & Zhang H (2009). Assessment of genetic diversity in broomcorn millet (Panicum miliaceum L.) using SSR markers. Journal of Genetics and Genomics 36(8): 491-500
  9. Jilal A (2011). Assessment of genetically diverse international barley germplasm for development of food product applications. Dissertation, Southern Cross University
  10. Jones H, Lister D L, Bower M A, Leigh F J, Smith L M J & Jones M K (2008). Approaches and constraints of using existing landraces and extant plant material to understand agricultural spread in prehistory. Plant Genetic Resources 6(2): 98-112
  11. Kishore G, Gupta S & Pandey A (2012). Assessment of population genetic diversity of Fagopyrum tataricum using SSR molecular marker. Biochemical Systematic and. Ecology 43: 32-41
  12. Leišová L, Kučera L & DotLačiL L (2007). Genetic resources of barley and oat characterized by microsatellites. Czech Journal of Genetics and Plant Breeding 43(3): 97-104
  13. Li C D, Rossnagel B G & Scoles G J (2000). The development of oat microsatellite markers and their use in identifying relationships among Avena species and oat cultivars. Theoretical and Applied Genetics 101(8): 1259-1268
  14. Liu Z W, Biyashev R M & Saghai-Maroof M A (1996). Development of simple sequence repeat DNA markers and their integration into a barley linkage map. Theoretical and Applied Genetics 93: 869-876
  15. Lopes M S, Sefc K M, Eiras D, Steinkellner E, Laimer da Câmara Machado H M & da Câmara Machad A (1999). The use of microsatellites for germplasm management in a Portuguese grapevine collection. Theoretical and Applied Genetics 99(3-4): 733-739
  16. Macaulay M, Ramsay L, Powell W & Waugh R (2001). A representative, highly informative ‘genotyping set’ of barley SSRs. Theoretical and Applied Genetics 102(6-7): 801-809
  17. Malysheva-Otto, L, Ganal M W, Law J R, Reeves J C & Röder M S (2007). Temporal trends of genetic diversity in European barley cultivars (Hordeum vulgare L.). Molecular Breeding 20(4): 309-322
  18. Matus I A & Hayes P M (2002). Genetic diversity in three groups of barley germplasm assessed by simple sequence repeats. Genome 45(6): 1095-1106
  19. Morrell P L & Clegg M T (2006). Genetic evidence for a second domestication of barley (Hordeum vulgare) east of the Fertile Crescent. Proceedings of National Academy of Sciences of the United States of America 104(9): 3289-3294
  20. Nei M & Li W H (1979). Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of National Academy of Sciences 76(10): 5269-5273
  21. Peeters J P (1988). The emergence of new centres of diversity: evidence from barley. Theoretical and Applied Genetics 76(1): 17-24
  22. Prasad M, Varshney R K, Roy J K, Balyan H S & Gupta P K (2000). The use of microsatellites for detecting DNA polymorphism, genotype identification and genetic diversity in wheat. Theoretical and Applied Genetics 100(3-4): 584-592
  23. Rohlf F J (1993). NTSYS-pc version 1.80. Distribution by Exeter Software, Setauket, NewYork
  24. Saavedra J, Silva T A, Mora F & Scapim C A (2013). Bayesian analysis of the genetic structure of a Brazilian popcorn germplasm using data from simple sequence repeats (SSR). Chilean Journal of Agricultural Research 73: 2
  25. Saghai-Maroof M A, Biyashev R M, Yang G P, Zhang Q & Allard R W (1994). Extraordinarily polymorphic microsatellite DNA in barley: Species diversity, chromosomal location, and population dynamics. Proceedings of National Academy of Sciences 91(12): 5466-5470
  26. Schuster I, Elisa V S N, Silva G J, Franco F A & Marchioro V S (2009). Genetic variability in Brazilian wheat cultivars assessed by microsatellite markers. Genetics and Molecular Biology 32(3): 557-563
  27. Senior M L, Murphy J P, Goodman M M & Stuber C W (1998). Utility of SSRs for determining genetic similarities and relationships in maize using an agarose gel system. Crop Science 38: 1088-1098
  28. Sipahi H (2011). Genetic screening of Turkish barley genotypes using simple sequence repeat markers. Journal of Cell and Molecular Biology 9(2): 19-26
  29. Sneath P H A & Sokal R R (1973). Numerical Taxonomy. Freeman, San Francisco
  30. Struss D & Plieske J (1998). The use of microsatellite markers for detection of genetic diversity in barley populations. Theoretical and Applied Genetics 37(1- 2): 2308-2315
  31. Sun D, Ren W, Sun G & Peng J (2011). Molecular diversity and association mapping of quantitative traits in Tibetan wild and worldwide originated barley (Hordeum vulgare L.) germplasm. Euphytica 178(1): 31-43
  32. Varshney R K, Chabane K, Hendre P, Aggarwal R K & Graner A (2007). Comparative assessment of EST- SSR, EST-SNP and AFLP markers for evaluation of genetic diversity and conservation of genetic resources using wild, cultivated and elite barleys. Plant Science 173(6): 638-649
  33. Veasey E A, Borges A, Rosa M S, Queiroz-Silva J R, Bressan E A & Peroni N (2008). Genetic diversity in Brazilian sweet potato (Ipomoea batatas (L.) Lam., Solanales, Convolvulaceae) landraces assessed with microsatellite markers. Genetics and Molecular Biology 31(3): 725-733
  34. Weber J L (1990). Informativeness of human (dC-dA) n (dG-dT)n polymorphisms. Genomics 7(4): 524-530
  35. Westman A L & Kresovich S (1999). Simple sequence repeat (SSR)-based marker variation in Brassica nigra genebank accessions and weed populations. Euphytica 109(2): 85-92
  36. Yang S, Wei Y, Qi P & Zheng Y (2008). Sequence polymorphisms and phylogenetic relationships of hina gene in wild barley from Tibet, China. Agricultural Sciences in China. 7(7): 796-803
  37. Yeh, F, Yang C & Boyle T (1999). POPGENE Version1.32: Microsoft Window-based Freeware for Population Genetic Analysis. University of Alberta, Edmonton
  38. Zhang P, Dreisigacker S, Buerkert A, Alkhanjari S, Melchinger A E, Warburton M L (2006). Genetic diversity and relationships of wheat landraces from Oman investigated with SSR markers. Genetic Resources and Crop Evolution 53(7): 1351-1360
  39. Zeven A C (1998). Landraces: A review of definitions and classifications. Euphytica 104(2): 127-139