Association analysis between germination traits and AFLP markers in rice (Oryza sativa L.) | ||
| علوم و فناوری بذر ایران | ||
| Article 8, Volume 9, Issue 3 - Serial Number 19, December 2020, Pages 113-130 PDF (925.32 K) | ||
| Document Type: Original Article | ||
| DOI: 10.22034/ijsst.2019.110749.1096 | ||
| Authors | ||
| hossein sabouri* 1; Sharifeh Mohammad Alegh1; Abbas Biabani2; Ahmad Reza Dadras3; Atefeh Sabouri4; Mahnaz Katouzi5; mahboubeh Najjar Ajam6; mahem pirasteh7; Rasoul Khataminejad8 | ||
| 1Department of plant production, collage of agriculture science, Gonbad Kavous University | ||
| 2department of plant production. Gonbad Kavous University | ||
| 3Horticulture Department, Agriculture science and natural resource of Zanjan | ||
| 4Agronomy and Plant Breeding Department, University of Guilan | ||
| 5Department of Plant breeding, Gorgan University | ||
| 6Gonbad Kavous University | ||
| 7Gonbad kavous university | ||
| 8Guilan University | ||
| Abstract | ||
| Rice (Oryza sativa L.) is a staple food for more than half of the world's population. Globally, rice is grown on 161 million hectares, with an average annual production of 678.7 million tonnes. Germination is one of the important stage in rice life. In order to investigate the relationships among AFLP markers and germination traits in rice plants, 192 Rice lines were evaluated. Lines were used in the form of an augument design with 100 seeds per line. The purpose of this study was to identify linked markers for gene controlling plumule length, root length, coleoptile length and germination percentage. 21 primer combinations of EcoRI and MseI a total of 376 bands were produced, of which, 303 bands were polymorphic and had an average of 75.03 percent polymorphism. The most variation in plumule length were determined by E080-M140-11 (19.55%), E060-M160-11 (17.92%) and E080-M150-11 (17.87%).060-M160-11, E080-M150-11, E110-M150-8 and E120-M150-5 Markers were associated with both shoot and root length, which represents an extremely close association of the traits together, or possibly are affected multi-effect genes. Using linked markers with germination traits in this study, we can use markers to help them improve them. | ||
| Keywords | ||
| AFLP Markers; Association analysis; Germination; Rice | ||
| References | ||
|
Agrama, H.A., G.C. Agrama, and W. Yan. 2007. Association mapping of yield and its components in rice Cultivars. Mol. Breed. 19: 341–356. Brar, D.S., and G.S. Khush. 2002. Transferring genes from wild species into rice. Pp: 197-217. In: Kang, M. S. (ed.) Quantitative Genetics, Genomics and Plant Breed. Cabi. Breseghello, F., and M.E. Sorrells. 2006. Association analysis as a strategy for improvement of quantitative traits in plants. Crop Sci. 46: 1323–1330. Dadras, A. R. 2012. Evaluation of genetic diversity of tobacco (Nicotiana tabacum L.) cultivars sing AFLP molecular marker. MSc. Thesis. Shahid Bahonar Univ.of Kerman, Iran. (In Persian, with English Abstract) Dadras, A.R., H. Sabouri, G. Mohammadi-Nejad, A. Sabouri, and M. Shoai-Deylami, 2014. Association analysis, genetic diversity and structure analysis of tobacco based on AFLP markers. Molecular Biology Reports, 41(5): 3317-3329. Delesalle, V., and S. Blum. 1994. Variation in germination and survival among families of Sagittarian latifolia in response to salinity and temperature. Int. J. Plant Sci. 155: 187-195. Evanno, G., E. Reganut, and J. Goudet. 2005. Detecting the number of clusters of individuals using the software STUCTURE: a simulation study. Mol. Ecol. 14: 2611-2620. Foti, S., S.L. Cosentino, C. Patane, and G.M.D. Agosta. 2002. Effects of osmoconditioning upon seed germination of sorghum (Sorghum bicolor L.) under low temperatures. Seed Sci. Technol. 30: 521-533. Hu, S.P., H. Yang, G.H. Zou, H.Y. Liu, G.L. Liu, H.W. Mei, C. Run, M.S. Li, and L.J. Luo. 2007. Relationship between coleoptile length and drought resistance and their QTL mapping in rice. Rice Sci. 14: 13-20. Ivandic, V., C.A. Hackett, E. Nevo, R. Keith, W.T.B. Thomas, and B.P. Forster. 2002. Analysis of simple seque.nce repeats (SSRs) in wild barley from the Fertile Crescent: associations with ecology, geography and flowering time. Plant Mol. Biol. 48: 511–527. Liu, G., Z. Zhang, H. Zhu, F. Zhao, X. Ding, R. Zeng, W. Li, and G. Zhang. 2008. Detection of QTLs with additive effects and additive by environment interaction effects on panicle number in rice (Oryza sativa L.) with single-segment substitution lines. Theor. Appl. Genet. 116: 923–931. Mardani, Z., B. Rabiei, H, Sabouri, and A. Sabouri. 2013. Mapping of QTLs for germination characteristics under non-stress and drought stress in rice. Rice Sci. 20(6): 391-399. Naghavi M. R., B. Gharehyazi, and Gh. Hossein, 2009. Molecular Markers. Tehran University Pree. 340 pp. (In Persian) Pritchard, J. K., M. Stephens, N.A. Rosenberg, and P. Donnelly. 2000. Association mapping in structured populations. Am. J. Hum. Genet. 67: 170-181. Rabiei, B., Z. Mardani, Kh. Ghomi, H. Sabouri, and A. Sabouri. 2017. The Effect of Rice Chromosome 1 on Traits Associated with Drought and Salinity Tolerance at Germinating and Seedling Stage. Seed and Plant Improv. 1 (30): 1-16. (In Persian, with English Abstract) Raiesi, T., and A. Sabouri. 2015. Validation and association analysis of microsatellite markers related to drought and salinity tolerance in aerobic and Iranian rice under osmotic stress. Crop Biotech. 10: 57-72. (In Persian, with English Abstract) Rashidi Monfared, S., M. Mardi, A. H. Hossinzade, and M. R. Naghavi. 2011. Communication breakdown between important agronomic traits and retrotransposon SSAP markers in samples of durum wheat. Genet. novin. 3 (2): 29-35. (In Persian, with English Abstract) SaghaiMaroof, M. A., R. M. Biyashev, G. P. Yang, Q. Zhang, and R. W. Allard. 1994. Extraordinarily polymorphic microsatellite DNA in barely: species diversity, chromosomal locations, and population dynamics. Proc. Natl. Acad. Sci. U.S. Am. 91: 5466-5570. Sayyed Tabatabaei B.A., and A.A. Shahnejat-Boshehri, 2003. Barlet genetic linkage map based on AFLP. Iranian J. Crop Sci. 34(1): 9-18. (In Persian, with English Abstract) Shalini, K.V., S. Manjuathan, P. Lebrun, A. Berger, L. Baudouin, N. Pirany, R.M. Ranganatha, and D. Theertha Prasad. 2007. Identification of molecular markers associated with mite resistance in coconut (Cocos nucifera L.). Genome. 50: 35-42. Spataro, G., B. Tiranti, P. Arcaleni, E. Bellucci, G. Attene, R. Papa, P. Spagnoletti Zeuli, and V. Negri, 2011. Genetic diversity and stucture of a worldwide collection of Phaseolus coccineus L. Theor. Appl. Genet. 122: 1281-1291. Vos, P., R. Hogers, M. Bleeker, M. Reijans, T.V.D. Lee, M. Hornes, A. Frijters, J. Pot, J. Peleman, M. Kuiper, and M. Zabeau. 1995. AFLP: a new technique for DNA fingerprinting. Nucleic Acids Res. 23: 4407-4414. Zeng, D.L., L.B. Guo, Y.B. Xu, K. Yasukumi, L.H. Zhu, and Q. Qian. 2006. QTL analysis of seed storability in rice. Plant Breed. 125: 57-60. Zhang, Z.H., S.B. Yu, T. Yu, Z. Huang, and Y.G. Zhu. 2005. Mapping quantitative trait loci (QTLs) for seedling Vigor using recombinant inbred lines of rice (Oryza sativa L.). Field Crop Res. 91: 161-170. | ||
|
Statistics Article View: 611 PDF Download: 358 |
||
Journal management system. designed by sinaweb