Genetic Variation in Iranian Rice (Oryza Sativa L ) Genotypes Using Physiological traits and SSR markers
Subject Areas : GeneticsMehrnesa Qarehkhani 1 , Saeid Navabpour 2 , Hossein Sabouri 3 , Sanaz Ramezanpour 4
1 - Plant Breeding and Biotechnology Dept, Gorgan University of Agriculture Sciences and Natural Resources, Gorgan/Iran
2 - Plant Breeding and Biotechnology Dept, Gorgan University of Agriculture Sciences and Natural Resources, Gorgan/Iran
3 - Plant Production Dept, Gonbad Kavous University, Gonbad/Iran.
4 - Plant Breeding and Biotechnology Dept, Gorgan University of Agriculture Sciences and Natural Resources, Gorgan/Iran
Keywords: Regression, Chlorophyll, Microsatellite, Marker selection programs, Polymorphic,
Abstract :
In order to assess genetic diversity, the number of 38 Iranian rice cultivars were evaluated using 15 agronomic traits and 14 SSR markers. Rice genotypes were cultivated in a Randomized Complete Block Design in a Research Farm located in Azadshahr in 2013. According to analysis of variance (ANOVA) genotypes showed a significant difference for all traits (P <0.01). Regression analysis showed that the weight of filled grains was correlated with panicle number and chlorophyll content and explained 93.5% of the filled grains weight variations. The highest and lowest content of polymorphic information was recorded in RM262 (0.81) and RM241 (0.33) respectively, the mean PIC was 0.51. The average Shannon index was 0.33. The genotypes were categorized according to morphological traits in three groups but based on molecular and chlorophyll data assigned to three and two groups, respectively. Among the microsatellite markers used in this study, the RM142 RM255, RM341, RM262 markers had a high degree of polymorphism. RM297, RM104, RM274 showed the most correlation with rice chlorophyll content, which can be promising in marker selection programs.
Botstein, D., R. L. White., M. Skolnick and R. W. Davis. 1980. ꞌConstruction of a genetic linkage map in man using restriction fragment length polymorphismsꞌ. American journal of human genetic, 32:314.
Cavalli-Sforza, L. L. and A. W. F. Edwards, 1967. ꞌPhylogenetic analysis. Models and estimation proceduresꞌ. American journal of human genetic, 19: 233.
Chakravarthi, B. k. and R. Naravaneni, 2006. ꞌSSR marker-based DNA finger printing and diversity study in rice (Oryza sativa. L)ꞌ. Journal of African of Biotechnology, 5(9):684-688.
Choudhuy, B., M. Latifkhan and S. Dayanandan, (2013). Genetic structure and diversity of indigenous Rice varieties in the Eastern Himalayan vegion of NorthestIndia. www. SpringerPlus. ir.
Das, H. k., A. Singhand and S. Datti, 2013. ꞌPhylogenetic relationship of wild and cultivated Oryza speciesusing SSR markersꞌ. Journal of Asian of Contemporary Sciences, 2(2): 35-44.
Doku, H. A., E. Y. Danquah, A. N. Among, K. Nyalemegbe and H.M. Amoatey, 2013. ꞌGenetic diversity among 18 accessions of African rice (Oryza glaberri masteud) using simple sequence repeat (SSR) markersꞌ. Journal of Cultural, 8(2): 106-112.
Doyle, J. J. and J. L. Doyle, 1987. ꞌA rapid DNA isolation procedure for small quantities of fresh leaf tissueꞌ. Phytochemical Bulletim, 19: 11-15.
Ebadi, M., H. Riahi and R. Zare, 2013. ꞌGenetic diversity of Fusarium semitectum isolates from rice, using RAPD and REP-PCR markersꞌ. Journal Mycologia Iranica, 1 (1): 14-20.
FAO. 2010. ꞌFAO Land and plant nutrition management serviceꞌ. http://www.fao.org
Gourbani, H. R., H. A. Samiezade lahijani, B. Rabiei and A. Allah golipour, 2011. ꞌClassification of different rice genotypes using factor analysis and cluster analysisꞌ. Journal Agricultural and stable production, 21(3): 104-89.
Honarnezhad, R, 2002. ꞌEstimation of Genetic parameters in Rice using different diluent griving techniquesꞌ. Journal science and technology of agriculture and natural resources, 11(41): 247-258.
Ishimaru, k., M. Yano, N. Aoki, T. Hirose, Y. Lin, L. Monna, T. Sasaki and R. Ohsugi, 2001. ꞌToward the mapping of physiologi and agronomic characters on a rice function map: QTL analysis and comparisons between QTLs and expressed sequence tagsꞌ. J. Theor. Appl. Genet, 102:793-800.
Jamal, K., I. H. Khalil, A. Bari, S. Khan and I. Zada, 2009. ꞌGenetic variation for yield and yield components in riceꞌ. Journal Agriculture & Biotechnology Science, 4(6): 60-64.
Juan, L., V. Reig, V. Juan, S. Ester, M. Luis, T. Javier, G. Marta, D. Sophia, T. Manuel and D. Concha, 2016. ꞌGenetic Diversity and Population Structure of Rice Varieties Cultivated in Temperate Regionsꞌ. Springer link (http://creativecommons.org/licenses/by/4.0/).
Lin, H. Y., Y. P.Wu, A. L. Hour, H. O. Sw, F. J. Wei, Y. I. Hsing and Y. R. Lin, 2012. ꞌGenetic diversity of rice germplasm used in Taiwan breeding programsꞌ. Journal of Botanical studies, 53: 363-376.
Liu, K. and S. V. Muse. 2005. ꞌPower marker: an integrated analysisꞌ. Bioinformatics, 21: 2128-2129.
Mahdavi, F., M. A. Esmaeiliy, A. Fallah and H. A. Pirdashti, 2005. ꞌStudy of Morphological characteristics of physiological indices yield and grain yield components in native and modified rice cultivars (Oryza Sativa L.)ꞌ. Journal Iran Crop Science, 7(4): 297-280.
Masood Shah, S., A. N. Shahzad and M. Arif, 2013. ꞌGenetic diversity basmati and non-basmati rice varieties based on microsatellite markersꞌ. Journal of Pakistan Biotechnology, 45(S1):423-431.
Noormohammadi, G. H., A. A. Seyadat and A. Kashani, 2004. Culture (first volume): Shahid Chamran: University Publishers. Page: 446.
Rabiei, H., K. H. Salem and M. Mattar, 2013. ꞌThe genetic diversity and relatedness of eight rice (Oryza Sativa L.) cultivar as revealed by AFLP and SSRs markerꞌ. Journal of Life Science, 10(1): 1471-1479.
Roodbar calari, F., A. A. Farshadfar and B. Gharehyazy, 2001. ꞌEvaluation of Genetic Variation in Rice (Oryza sativa L ) Cultivars in Iran Using RAPD markersꞌ. Journal Iran Crop Science, 3(4):8-15.
Sabouri, H., A. Sabouri, M. Nahavi, A. R. Dadras and M. Katozi, 2008. ꞌLocating QTL controlling chlorophyll content of seedling and reproductive stages in rice under salt stressꞌ. Journal New Genetics, 3(3): 30-20.
Salem, K. H and A. Sallam, 2016. ꞌAnalysis of population structure and genetic diversity of Egyptian and exotic rice (oryza sativa L.) genotypesꞌ. Journal of Science direct, 3(39):1-9.
Sambrook, E., F. Fritsch and T. Maniatis, 1990. Molecular Ctonlng: A Laboratory Manual. Book review, pp: 17-18.
Seetharam, M., S. Thirumeni and K. Paramasivam, 2009. ꞌEstimatin of genetic diversity in rice (Oryza Sativa L.) genotypes using SSR markers and morphological charactersꞌ. Journal of African of Biotechnology, 8(10): 2050-2059.
Shaha, S. M., S. A. Naveed and M. Arif, 2013. ꞌGenetic diversity in basmatic and non-basmatic rice varieties based on microsatellite markersꞌ. Journal of Pakistan Biotechnology, 45(1): 423-431.
Sherria, R., S. Sen and P. Muneer, 2011. ꞌAnalysis of genetic variability in rice varieties (Oryza sativa L.) of Kerala using RAPD markerꞌ. Journal of Genetic engineering and Biotechnology, 11:1-9.
Thenmozhi, P and C. Rajasekaran, 2013. ꞌGenetic diversity and relationship among 40 rice accessions from North-Eastern Zone Tamil Nadu using morphological and SSR markersꞌ. Research journal of biotechnology. 8 (9): 32-41.
Vaniraja, C., K. K. Vinod and A. Pereira, 2012. ꞌMolecular evaluation of genetic diversity and association studies in rice (Oryza Sativa L.)ꞌ. Journal of Genetic, 91(1):9-19.
Weising, K., H. Nybom, K. Wolff and G. Kahl, 2005. ꞌDNA fingerprinting in plants principles methods and application (second edition). CRC press, pp:7-10.
Zang, L., T. R. Kwon, X. Liu, C. Wilson, C. M. Grieve and G. B. Gregorio, 2004. ꞌGenetic diversity analyzed by microsatellite markers among rice (Oryza Sativa L.) genotype with different adaptation to saline soilsꞌ. Journal of Science Direct, 166(68): 1275-1285
Doyle, J. J. & Doyle, J. L, (1990). Isolation of Plant DNA from fresh tissue. Focus, 12, 13-15
Gower, J. C, (1966). Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika, 63, 315-28
Jaccard, P, (1908). Nouvelles researches sur la distribution florale. Bulletin de la Societe Vaudoise des Sciences Naturelles, 44, 223-270
Rohlf, F. J, (1998). NTSYS-pc Numerical taxonomy and multivariate analysis system, version 2.02. New York: Exeter Publication
Sokal, R. R. & Michener, C. D, (1958). A statistical method for evaluating systematic relationships. The University of Kansas Science Bulletin, 38, 1409-1438
Yeh, F. C., Yang, R. C. and T. Boyle, 1999. Popgene v. 1.31. Microsoft Window-Based Freeware for Population Genetic Analysis, University of Alberta and Tim Boyle, Centre for International Forestry Research, 1999, A Joint Project Development by Francis C. Yeh and Rong-Cai Yang.