Evaluation of rice varieties using proteomic approach
Paper Details
Evaluation of rice varieties using proteomic approach
Abstract
In present study, proteomics approach was used to evaluate three varieties i.e. Bas-385, Indica and KS-282 of rice. Total crude protein was isolated from root, endosperm, embryo and leaf sheath and leaf blade of these varieties and it was separated by SDS-PAGE. The protein bands were scored and used to compare the rice varieties. Seven protein bands in endosperm, six in embryo, seven in roots, six in leaf sheath and seven in leaf blade were recorded conserved proteins during this study. Three protein bands of 25, 30 and 160KDa were detected in the endosperm protein of Bas-385 and JP-5, sharing a common genetics of Basmati and non Basmati. A band of 17KDa was detected in the embryo of Bas-385 while absent in KS-282 and JP-5. Three protein bands i.e. 27, 90 and 120KD were detected in the leaf blade of Bas-385. A band of 45KDa was detected in the leaf blade of JP-5 and absent in KS-282 and Bas-385. A band of 61KDa and three bands of 25, 85 and 175KDa were detected in the embryo and leaf sheath of JP-5 respectively and absent in KS-282 and Bas-385. It is indicating that these proteins could determine the Japonica characters in JP-5. Two bands of 35KDa and 40KD were recorded in endosperm and root of KS-282 respectively while absent in Bas-385 and JP-5. This study explored that there are proteins that are specific for Basmati rice and non Basmati rice or Indica and Japonica rice and could be used to identify rice cultivars.
Anonymous. 2006. data at: http://faostar.fao.rog. Anonymous. 2008. Global Agriculture Information Network (GAIN) report. Pakistan grain and feed annual report 2011. USDA foreign Agriculture Service. GIAN report number: PK8031.
Anonymous. 2009. Government of Pakistan, Pakistan Statistical Year book, 2009. Pakistan Federal Bureau of Statistics, 28 p.
Beachy RN. 2003. IP policies and serving the public. Science 299(606), 473.
Chen LFO, Chen LC. 1989. Inheritance of two endosperm protein loci in rice (Oryza saliva L.). . Theoretical and Applied Genetics 78(6), 788-792.
Collard BCY, Cruz CMV, McNally KL, Virk PS, Mackill DJ. 2008. Rice Molecular Breeding Laboratories in the Genomics Era: Current Status and Future Considerations. International Journal of Plant Genome 2008, 1-25. http://dx.doi.org/10.1155/2008/524847
Datta SK, Khush GS. 2002. Improving rice to meet food and nutrient needs: Biotechnological approaches. Journal of Crop Production 61, 229-247.
Francis SE, Ersoy RA, Ahn J-W, Atwell BJ, RoCollards TH.2012. Serpins in rice: protein sequence analysis, phylogeny and gene expression during development. BMC Genomics 13, 449.
Goff SA, Ricke D, Lan T-H, Presting G, Wang R, Dunn M, Glazebrook J, Sessions A, Oeller P, Varma H et al. 2002. A Draft Sequence of the Rice Genome (Oryza sativa L. ssp. japonica). Science 296(5565), 92-100. http://dx.doi.org/10.1126/science.1068275
Grist DH. 1986. Rice. Tropical Agriculture Series. Longman publisher, New York.
Guo G, Lv D, Yan X, Subburaj S, Ge P, Li X, Hu Y, Yan Y. 2012. Proteome characterization of developing grains in bread wheat cultivars (Triticum aestivum L.). BMC Plant Biology 12, 147.
Habib M, Wani SA, Zargar GH, Habib M. 2000. Seed protein profile and isozyme polymorphism as markers for identification of some important rice cultivars. Applied Biological Research 2, 55-59.
Kochko A. 1987. Isozymic variability of traditional rice, Oryza sativa L. in Africa. Theoretical and Applied Genetics 73, 675-682.
Laemmli UK. 1970. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature 227, 680-685.
Li D, Wang L, Teng S, Zhang G, Guo L, Mao Q, Wang W, Li M, Chen L. 2012. Proteomics Analysis of Rice Proteins Up-regulated in Response to Bacterial Leaf Streak Disease. Journal of Plant Biology 55, 316-324. http://dx.doi.org/10.1007/s12374-011-0346-2
Lockhart BE, Menke J, Dahal G, Olszewski, NE. 2000.Characterization and genomic analysis of tobacco vein clearing virus, a plant pararetrovirus that is transmitted vertically and related to sequences integrated in the host genome. Journal of General Virology 81, 1579–1585.
Morell JRA, Macia FAC, Marin GC, Yufera EP. I987. Differentiation of rice varieties by electrophoresis of embryo protein. Theoretical and Applied Genetics 74, 224-232.
Rahman MS, Molla MR, Alam MS, Rahman L. 2009. DNA fingerprinting of rice (Oryza sativa L.) cultivars using microsatellite markers. Australian Journal of Crop Science 3(3), 122-128.
Santhy V, Niral V, Dadlani M. 1998. Biochemical markets for characterizing rice genotypes. International Rice Research Notes 23, 10.
Sasaki, T. 1998. The rice genome project in Japan. Proceedings of the National Academy of Sciences U. S. A. 95, 2027-2028.
Sengupta S, Chattopadhyay NC. 2000. Rice varietal identification by SDS-PAGE. Seed Science Technology 28, 871-873.
Yu J, Hu S, Wang J, Wong G K-S, Li S, Liu B, Deng Y, Dai L, Zhou Y, et al. 2002. A Draft Sequence of the Rice Genome (Oryza sativa L. ssp. indica). Science 296(5565), 79-92. http://dx.doi.org/10.1126/science.1068037
Zou J, Liu C, Chen X. 2011. Proteomics of rice in response to heat stress and advances in genetic engineering for heat tolerance in rice. Plant cell Report 30(12), 2155-2165.
Shazia Dilber, Khushi Muhammad, Inamullah, Muhammad Shahid Nadeem , Fida Muhammad Abbasi, Nazia Akbar, Ikram Muhammad, Habib Ahmad (2013), Evaluation of rice varieties using proteomic approach; IJB, V3, N10, October, P8-14
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