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:: Volume 6, Issue 2 (2020) ::
pgr 2020, 6(2): 97-110 Back to browse issues page
Assessment of Diversity in Barley Genotypes (Hordeum vulgare L) Based on Beta-Glucan Content and ISSR Markers
Raheleh Aziznia , Hedieh Badakhshan * , Taimoor Javadi , Soma Zamani
Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran , h.badakhshan@uok.ac.ir
Abstract:   (14779 Views)
In this study, variation of beta-glucan content was assessed in 20 barley line and cultivars based on complete block design with three replications. Genetic diversity of these genotypes was also evaluated using ISSR markers. Beta-glucan extracted by an enzymatic method. Significant differences were found at the level of 1% among barley genotypes for beta-glucan content. The beta glucan content was variable from 7.21 to 12.48 and, the Yosef, E94B3 and E94B17 genotypes hold the highest content of the beta-glucan. ISSR primers with average polymorphism of 66.79%, genetic diversity of 0.25 and Shannon index of 0.37 were determined as efficient markers for studying genetic diversity. The barley lines and cultivars were assigned in two distinct groups according to their genetic pedigree. On the basis of non-parametric Kruskal-Wallis, Spearman correlation, and stepwise regression analysis, nine informative primers were detected explaining highest seed’s beta-glucan content variations ranging from 24.3 to 42.4 percent. The ISSR6 (700), the combination of ISSR1+ISSR4 (1400) and IS2+ ISSR2 (1400) primers were the most informative primers for the beta-glucan content. The informative markers provide possible functional and efficient marker based selection method and, screening the barley germplasms for the highest beta-glucan content.
Keywords: Barley, Beta-glucan, Informative markers, Kruskal-Wallis, Stepwise regression
Full-Text [PDF 1127 kb]   (1665 Downloads)    
Type of Study: Research | Subject: Molecular genetics
References
1. Arnau, G., Lallemand, J. and Bourgoin, M. (2002). Fast and reliable strawberry cultivar identification using inter simple sequence repeat (ISSR) amplification. Euphytica, 129: 69-79. [DOI:10.1023/A:1021509206584]
2. Asima Gazal, Z.A., Zaffar, D., Lone, I., Abidi, A.S. and Khan, N.Y. (2014). Trends in breeding oat for nutritional grain quality. Journal of Applied and Natural Science, 6(2): 904-912 [DOI:10.31018/jans.v6i2.552]
3. Baik, B.K., and Ullrich, S.E. (2008). Barley for food: characteristics, improvement, and renewed interest. Journal of Cereal Science, 48: 233-242. [DOI:10.1016/j.jcs.2008.02.002]
4. Bourton, R.A., Jobling, S.A., Harvey, A.J., Shirley, N.J., Mather, D.E., Bacic, A. and Fincher, G.B. (2008). The genetics and transcriptional profiles of the cellulose synthase- like HvCSLF gene family in barley. Plant Physiology, 146: 1821-1833. [DOI:10.1104/pp.107.114694]
5. Bourton, R.A., Wilson, S.M., Hrmva, M., Harvey, A.J., Shirley, N.J., Medhurst, A., Stone, B.A., Newbigin, E.J., Bacic, A. and Fincher, G.B. (2006). Cellulose synthase-like CslF genes mediate the synthesis of cell wall (1,3; 1,4)- β- D-glucans. Science, 311: 1940-1942. [DOI:10.1126/science.1122975]
6. Cheghamirza, K., Zarei, L., Zebarjadi, A.R. and Jalali Honarmand, S. (2017). A study of the association between ISSR and RAPD markers and some agronomic traits in barley using a multiple regression analysis. Journal of Biotechnology, Computational Biology and Biotechnology, 98(1): 33-40. [DOI:10.5114/bta.2017.66615]
7. Drine, S., Guasmi, F., Ben Ali, S., Triki, T., Boussorra, F. and Ferchichi, A. (2016). Genetic diversity analysis of different barley (Hordeum vulgare L.) genotypes from arid and humid regions using ISSR and RAPD markers. Journal of New Sciences, 34(2): 1930-1939.
8. Fernandez, M.E., Figueiras, C. and Benito, C. (2002). The use of ISSR and RAPD markers for detecting DNA polymorphism, genotype identification and genetic diversity among barley cultivars with known origin. Theoretical and Applied Genetics, 104: 845-851. [DOI:10.1007/s00122-001-0848-2]
9. Griffy, C., Brooks, W., Kurantz, M., Thomason, W., Taylor, F., Obert, D., Moreau, R., Flores, R., Sohn, M. and Hicks, K. (2010). Grain composition of Virginia winter barley and implications for use in feed, food, and biofuels production. Journal of Cereal Science, 51: 41-49. [DOI:10.1016/j.jcs.2009.09.004]
10. Havrlentova, M. and Kraic, J. (2006). Content of β-glucan in cereal grains. Journal of Food and Nutrition Research, 45(3): 97-103.
11. Henry, R.J. (1986). Genetic and environmental variation in the pentosan and β- glucan contents of barley and their relation to malting quality. Journal of Cereal Science, 4: 269-277. [DOI:10.1016/S0733-5210(86)80029-7]
12. Hosseini, M., Ghorbanli, M., Sabouri, H., Dadras, A.R., Sattarian, A. and Fallahian, H.A. (2017). Investigation the genetic diversity in some of cultivated and wild barley. Cereal Research, 6(4): 533-544 (In Persian).
13. Houston, K., Russel, J., Schreiber, M., Halpin, C., Oakey, H., Washington, J.M., Booth, A., Shirley, N., Burton, R.A., Fincher, G. and Waugh, R. (2014). A genome wide association scan for (1,3 ;1,4)-β-glucan content in the grain of contemporary 2-row spring and winter barleys. BMC Genomics, 15: 907. [DOI:10.1186/1471-2164-15-907]
14. Hussein, T.S., Tawfik, A.A. and Khalifa, M.A. (2008). Molecular identification and genetic relatioships of six strawberry varieties using ISSR markers. International Journal of Agriculture and Biology, 10: 677-680.
15. Islamovic, E., Obert, D.E., Oliver, R.E., Harrison, S.A., Ibrahim, A., Marshall, J.M., Miclaus, K.J., Hu, G. and Jackson, E.W. (2013). Genetic dissection of grain beta-glucan and amylose content in barley (Hordeum vulgare L.). Molecular Breeding, 31: 15-25. [DOI:10.1007/s11032-012-9764-1]
16. Khaled, A.G.A., Motawea, M.H. and Said, A.A. (2015). Identification of ISSR and RAPD markers linked to yield traits in bread wheat under normal and drought condition. Journal of Genetic Engineering and Biotechnology, 13: 243-252. [DOI:10.1016/j.jgeb.2015.05.001]
17. Khatab, I.A. and Samah, M.A. (2013). Development of agronomical and molecular genetic markers associated with salt stress tolerance in some barley genotypes. Current Research Journal of Biological Sciences, 5(5): 198-204. [DOI:10.19026/crjbs.5.5436]
18. Li, J., Baga, M., Rossnagel, B.C., Legge, W.G. and Chibbar, R.N. (2008). Identification of quantitative trait loci for β-glucan concentration in barley. Journal of Cereal Science, 48(3): 647-655. [DOI:10.1016/j.jcs.2008.02.004]
19. Markovic, S.M., Dukic, N.H., Knezevic, D. and Lekovic, S.V. (2017). Divergence of barley and oat verities according to their content of β- glucan. Journal of the Serbian Chemical Society, 82(4): 379-788. [DOI:10.2298/JSC1610310010M]
20. McCleary, B.V. and Glennie-Holmes, M. (1985). Enzymic quantification of (1-3)(1-4)-β-D-glucan in barley and malt. Journal of Institute Brewing, 91: 285-295. [DOI:10.1002/j.2050-0416.1985.tb04345.x]
21. Mirmohammadi Maibody, S.A.M. and Golkar, P. (2019). Application of DNA molecular markers in plant breeding. Plant Genetic Researches, 6(1): 1-30 (In Persian). [DOI:10.29252/pgr.6.1.1]
22. Mohammadi, M., Endelman, J.B., Nair, S., Chao, S., Jones, S.S., Muehlbauer, G.J., Ullrich, S.E., Baik, B.K., Wise, M.L. and Smith, K.P. (2014). Association mapping of grain hardness, polyphenol oxidase, total phenolics, amylose content and β-glucan in US barley breeding germplasm. Molecular Breeding, 34: 1229-1243. [DOI:10.1007/s11032-014-0112-5]
23. Morgan, A.G. and Riggs, T.J. (1981). Effects of drought on yields, on grain, and on malt characters in spring barley. Journal of the Science of Food and Agriculture, 22: 339-46. [DOI:10.1002/jsfa.2740320405]
24. Peakall, R. and Smouse, P.E. (2012). Genalex 6.5. Genetic analysis in Excel. Population genetic software for teaching and research, an update. Bioinformatics, 28: 2537. [DOI:10.1093/bioinformatics/bts460]
25. Rahimi, M., Majidi Hervan, I., Valizadeh, M., Darvish Kajori, F. and Ebrahimpour, F. (2014). Genetic diversity among wild and cultivated barley by ISSR marker. Bulletin of Environment, Pharmacology and Life Sciences, 3(10): 57-62.
26. Ramazani, S.H.R. and Abdipour, M. (2018). Statistical analysis of grain yield in Iranian cultivars of barley (Hordeum vulgare). Agricultural Research, 8: 239-246. [DOI:10.1007/s40003-018-0360-4]
27. Ringsted, T., Ramsay, J., Jespersen, B.M., Keiding, S.R. and Engelsen, S.B. (2017). Long wavelength near-infrared transmission spectroscopy of barley seeds using a supercontinuum laser: Prediction of mixed- linkage betaglucan content. Analytica Chimica Acta, 986: 101-108. [DOI:10.1016/j.aca.2017.07.008]
28. Saghai-Maaroof, M.A., Soleiman, K.M., Jorgensen, R.A. and Allard, R.W. (1984). Ribosomal spacer length polymorphism in barley: Mendelian inheritance, chromosomal location and population dynamics. Proceedings of the National Academy of Sciences of the United States of America, 81: 8014-8018. [DOI:10.1073/pnas.81.24.8014]
29. Shu, X. and Ramussen, S.K. (2014). Quantification of amylose, amylopectin, and β-glucan in search for genes controlling the three major quality traits in barley by genome-wide association studies. Frontiers in Plant Science, 5: 197. [DOI:10.3389/fpls.2014.00197]
30. Sofi, S.A., Singh, J. and Rafiq, S. (2017). β- glucan and functionality: A review. Ecronicon Nutrition, 10(2): 67-74.
31. Yalcin, E., Celik, S., Akar, T., Sayim, I. and Koksel, H. (2007). Effects of genotype and environment on β-glucan and dietary fiber contents of hull-less barleys grown in Turkey. Food Chemistry, 101: 171-176. [DOI:10.1016/j.foodchem.2006.01.010]
32. Zhang, G., Janmei, W. and Jinxin, C. (2002). Analysis of β-glucan content in barley cultivars from different locations of China. Food Chemistry, 79: 251-254. [DOI:10.1016/S0308-8146(02)00127-9]
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Aziznia R, Badakhshan H, Javadi T, Zamani S. Assessment of Diversity in Barley Genotypes (Hordeum vulgare L) Based on Beta-Glucan Content and ISSR Markers. pgr 2020; 6 (2) :97-110
URL: http://pgr.lu.ac.ir/article-1-157-en.html


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Volume 6, Issue 2 (2020) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
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