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Characterization of Five Rice Varieties Using Morphological Traits and Seed Storage Protein Profiling


Affiliations
1 Department of Botany, St. Thomas’ College (Autonomous), Thrissur, Kerala, India
 

Rice is one of the most important crops and a major source of nutrition for about 2.5 billion people around the globe that belongs to Poaceae family. Repeated use of selected rice breeding lines in various breeding programs not only limits the genetic basis but also develop susceptibility to the various abiotic and biotic stresses. In these circumstances, genetic variability of the existing rice germplasm should be maintained for several economical traits by conserving land race genotypes. The present study was taken to understand the genetic variability and relatedness among five cultivars of Oryza sativa viz. Jaya and Uma (improved) and Odachen, Chennellu and Vetteri Black (traditional) cultivated in Kerala using seed protein profiling and morphological characteristics. SDS PAGE of grain protein of five edible rice varieties showed about 50% polymorphism. The UPGMA dendrogram of the protein profile generated revealed two main clusters (traditional and improved) at 61% homology. Thus the variation showed by the improved cultivars may be due to the effect of the selection procedures which made them improved and evolved rice variety. Heat map obtained during the analysis showed a clear picture about the morphological values through a color gradient, where the morphological traits apart from number of grains per panicle were mostly at the lower side for the improved varieties than the traditional varieties.Scatter plot obtained through Principle Cordinate Analysis showed morphological cohesiveness among the improved varieties while all the traditional varieties clustered far apart which shows its genetic distinctness.

Keywords

Rice, Genotyping, Morphoclustering, Seed Protein Profiling, SDS‐PAGE.
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  • Agrama HA, Yan W, Jia M, Fjellstrom R, McClung AM. (2010). Genetic structure associated with diversity and geographic distribution in the USDA rice world collection. Natural Science, 2(04), 247.
  • Ali M, McClung AM, Jia MH, Kimball JA, McCouch SR, Georgia CE. (2011). A rice diversity panel evaluated for genetic and agro-morphological diversity between subpopulations and its geographic distribution. Crop Science, 51(5), 2021-2035.
  • Boboye B, Alao A. (2008). Effect of mutation on Trehalose-catabolicenzyme synthesized by a tropical Rhizobium species F1. Research Journal of Microbiology, 3, 269-75.
  • Caicedo AL, Williamson SH, Hernandez RD, Boyko A, Fledel-Alon A, York TL, Polato NR, Olsen KM, Nielsen R, McCouch SR. (2007). Genome-widepatterns of nucleotide polymorphism in domesticated rice. PLoS Genetics, 3, e163.
  • Caldo R, Sebastian L, Hernandez J. (1996). Morphology-based genetic diversity analysis of ancestral lines of Philippine rice cultivars. Philippine Journal of Crop Science, 21(3), 86–92.
  • Chen LFO, Cheng MC, Chen SCG. (1987). Similarity and diversity of seed proteins in rice varieties. Botanical Bulletin of Academia Sinica, 28, 169-183.
  • Chowdhury MA, Vandenberg B, Warkentin T. (2002). Cultivar identification and genetic relationship among selected breeding lines and cultivars in chickpea (Cicer arietinum L.). Euphytica, 127, 317-325.
  • Ferguson JM, Grabe DF. (1986). Identification of cultivars of perennial rye grass by SDS-PAGE of seed proteins. Crop science, 26(1), 170-176.
  • Gornall AJ, Bardwill CS, David MM. (1949). Quantitative determination of protein. Journal of Biological Chemistry, 177,751.
  • Huang X, Kurata N, Wei X, Wang ZX, Wang A, Zhao Q, Zhao Y, Liu K, Lu H, Li W, Guo Y, Lu Y, Zhou C, Fan D, Weng Q, Zhu C, Huang T, Zhang L, Wang Y, Feng L, Furuumi H, Kubo T, Miyabayashi T, Yuan X, Xu Q, Dong G, Zhan, Q, Li C, Fujiyama A, Toyoda A, Lu T, Feng Q, Qian Q, Li J, Han B. (2012). A map of rice genome variation reveals the origin of cultivated rice. Nature, 490, 497-501.
  • Lee RS, Legvold S. (1967). Hall effect of gadolinium, lutetium, and yttrium single crystals. Physical Review, 162(2), 431.
  • Li X, Yan W, Agrama H, Hu B, Jia L, Jia M, Wu D. (2010). Genotypic and phenotypic characterization of genetic differentiation and diversity in the USDA rice mini-core collection. Genetica, 138(11-12), 1221-1230.
  • Mennella G, Onofaro SV, Tonini A, Magnifico V. (1999). Seed storage protein Characterization of Solanum specieS and of cultivars and androgenic lines of S. melongena L., by SDS-PAGE and AE-hplc. Seed Science and Technology, 27, 23-35.
  • Metsalu T, Vilo J. (2015). ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap. Nucleic Acids Research, 468.
  • Muench DG, Coughlan YW, Okita TW. (1998). Evidence for a cytoskeleton-associated binding site involved in prolamin mRNA localization to the protein bodies in rice endosperm tissue. Plant Physiology, 116, 559-569.
  • Nei M. (1978). Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics, 89, 583-590.
  • Pandey P, Anurag PJ, Tiwari DK, Yadav SK, Kumar B. (2009). Genetic variability, diversity and association of quantitative traits with grain yield in rice (Oryza sativa L.). Journal of Bio-Science, 17, 77-82.
  • Phippen WB, Kresovich S, Candelas FG, McFerson JR. (1997). Molecular characterization can quantify and partition variation among genebank holdings: a case study with phenotypically similar accessions of Brassica oleracea var. capitata L. (cabbage) 'Golden Acre'. Theoretical and Applied Genetics, 94, 227-234.
  • Rabbani MA, Pervaiz ZH, Masood MS. (2008). Genetic diversity analysis of traditional and improved cultivars of Pakistani rice (Oryza sativa L.) using RAPD markers. Electronic Journal of Biotechnology, 11, 1-10.
  • Robinson PJ, Megarrity RG. (1975). Characterization of Stylosanthes introductions by using seed protein patterns. Crop and Pasture Science, 26(3), 467-479.
  • Rohlf FJ. (1992). NTSYS-pc: numerical taxonomy and multivariate analysis system. Applied Biostatistics.
  • Varghese G, Jose M, Dinesh Raj R, Bocianowski J, Thomas G, Omanakumari N. (2014). Quantitative and molecular analyses reveal a deep genetic divergence between the ancient medicinal rice (Oryza sativa) Njavara and syntopic traditional cultivars. Annals of Applied Biology, 164(1), 95-106.
  • Wang Z, Zou Y, Li X, Zhang Q, Chen L, Wu H, Liu YG. (2006). Cytoplasmic male sterility of rice with boro II cytoplasm is caused by a cytotoxic peptide and is restored by two related PPR motif genes via distinct modes of mRNA silencing. The Plant Cell, 18(3), 676-687.

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  • Characterization of Five Rice Varieties Using Morphological Traits and Seed Storage Protein Profiling

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Authors

K. S. Aiswariya
Department of Botany, St. Thomas’ College (Autonomous), Thrissur, Kerala, India
Geethu Elizabath Thomas
Department of Botany, St. Thomas’ College (Autonomous), Thrissur, Kerala, India

Abstract


Rice is one of the most important crops and a major source of nutrition for about 2.5 billion people around the globe that belongs to Poaceae family. Repeated use of selected rice breeding lines in various breeding programs not only limits the genetic basis but also develop susceptibility to the various abiotic and biotic stresses. In these circumstances, genetic variability of the existing rice germplasm should be maintained for several economical traits by conserving land race genotypes. The present study was taken to understand the genetic variability and relatedness among five cultivars of Oryza sativa viz. Jaya and Uma (improved) and Odachen, Chennellu and Vetteri Black (traditional) cultivated in Kerala using seed protein profiling and morphological characteristics. SDS PAGE of grain protein of five edible rice varieties showed about 50% polymorphism. The UPGMA dendrogram of the protein profile generated revealed two main clusters (traditional and improved) at 61% homology. Thus the variation showed by the improved cultivars may be due to the effect of the selection procedures which made them improved and evolved rice variety. Heat map obtained during the analysis showed a clear picture about the morphological values through a color gradient, where the morphological traits apart from number of grains per panicle were mostly at the lower side for the improved varieties than the traditional varieties.Scatter plot obtained through Principle Cordinate Analysis showed morphological cohesiveness among the improved varieties while all the traditional varieties clustered far apart which shows its genetic distinctness.

Keywords


Rice, Genotyping, Morphoclustering, Seed Protein Profiling, SDS‐PAGE.

References