Rice proteomics: A model system for crop improvement and food security

Proteomics

Volumn 14, Issue 4-5, 2014, Pages 593-610

  Kim, Sun Tae ^a   Kim, Sang Gon ^b   Agrawal, Ganesh Kumar ^c,d   Kikuchi, Shoshi ^e   Rakwal, Randeep ^c,d,f,g  

^a Pusan National University   (South Korea)

^b Gyeongsang National University   (South Korea)

^c Research Laboratory for Biotechnology and Biochemistry RLABB   (Nepal)

^d GRADE Academy Private Limited   (Nepal)

^e NATIONAL INSTITUTE OF AGROBIOLOGICAL SCIENCES   (Japan)

^f UNIVERSITY OF TSUKUBA   (Japan)

^g SHOWA UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

Environmental stress factors; Gel based; Gel free; Plant proteomics; Rice; Technology

Indexed keywords

ARSENIC; ASCORBATE PEROXIDASE; BRASSINSTEROID; CADMIUM; CATALASE; COPPER; FERREDOXIN NICOTINAMIDE ADENINE DINUCLEOTIDE PHOSPHATE REDUCTASE; GLUTATHIONE PEROXIDASE; GLUTATHIONE TRANSFERASE; HOMOCYSTEINE METHYLTRANSFERASE; HORMONE; LACTOYLGLUTATHIONE LYASE; MERCURY; METAL ION; OZONE; PROTEOME; SUPEROXIDE DISMUTASE; TRYPTOPHAN SYNTHASE; UNCLASSIFIED DRUG; SODIUM CHLORIDE;

ABIOTIC STRESS; BIOTIC STRESS; CROP IMPROVEMENT; DROUGHT STRESS; ENVIRONMENTAL STRESS; FATTY ACID METABOLISM; FOOD SECURITY; GENOTYPE; GERMINATION; HEAT STRESS; LEAF BLIGHT; NONHUMAN; NUTRIENT; OXIDATIVE STRESS; PHOTORESPIRATION; PHOTOSYNTHESIS; PLANT GENOME; PLANT PATHOGEN INTERACTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN DEGRADATION; PROTEIN METABOLISM; PROTEIN PHOSPHORYLATION; PROTEOMICS; REVIEW; RICE; SALT STRESS; SIGNAL TRANSDUCTION; TEMPERATURE STRESS; ULTRAVIOLET B RADIATION; XANTHOMONAS ORYZAE; DROUGHT; FUNGAL VIRULENCE; MAGNAPORTHE ORYZAE; ULTRAVIOLET IRRADIATION;

ENVIRONMENTAL STRESS FACTORS; GEL-BASED; GEL-FREE; PLANT PROTEOMICS; RICE; TECHNOLOGY;

FOOD SUPPLY; HUMANS; MASS SPECTROMETRY; ORYZA SATIVA; PLANT PROTEINS; PROTEOMICS;

EID: 84896784856     PISSN: 16159853     EISSN: 16159861     Source Type: Journal    
DOI: 10.1002/pmic.201300388     Document Type: Review

References (106)

1. Agrawal, G. K., Rakwal, R. (Eds.), Plant Proteomics: Technologies, Strategies, and Applications, Wiley & Sons, Hoboken, NJ 2008.
2. Rakwal, R., Agrawal, G. K., Rice proteomics: current status and future perspectives. Electrophoresis 2003, 24, 3378-3389.
3. Agrawal, G. K., Jwa, N. S., Iwahashi, Y., Yonekura, M. et al., Rejuvenating rice proteomics: facts, challenges, and visions. Proteomics 2006, 6, 5549-5576.
4. Agrawal, G. K., Rakwal, R., Rice proteomics: a cornerstone for cereal food crop proteomes. Mass Spectrom. Rev. 2006, 25, 1-53.
5. Agrawal, G. K., Rakwal, R., Rice proteome at a glance, in: Agrawal, G. K., Rakwal, R. (Eds.), Plant Proteomics: Technologies, Strategies, and Applications, Wiley, Hoboken, NJ 2008b, pp. 165-178.
6. Agrawal, G. K., Jwa, N. S., Rakwal, R., Rice proteomics: ending phase I and the beginning of phase II. Proteomics 2009, 9, 935-963.
7. Agrawal, G. K., Rakwal, R., Rice proteomics: a move toward expanded proteome coverage to comparative and functional proteomics uncovers the mysteries of rice and plant biology. Proteomics 2011, 11, 1630-1649.
8. Agrawal, G. K., Jwa, N. S., Lebrun, M. H., Job, D., Rakwal, R., Plant secretome: unlocking secrets of the secreted proteins. Proteomics 2010, 10, 799-827.
9. Imanaka, T., Endo, S., Sugai, M., Ozawa, S. et al., Early radiation survey of Iitate village, which was heavily contaminated by the Fukushima daiichi accident, conducted on 28 and 29 March 2011. Health Phys.: Radiat. Safety J. 2012, 102, 680-686.
10. Li, H., Chen, Z., Hu, M., Wang, Z. et al., Different effects of night versus day high temperature on rice quality and accumulation profiling of rice grain proteins during grain filling. Plant Cell Rep. 2011, 30, 1641-1659.
11. Lee, J., Koh, H. J., A label-free quantitative shotgun proteomics analysis of rice grain development. Proteome Sci. 2011, 9, 61.
12. He, D., Han, C., Yao, J., Shen, S., Yang, P., Constructing the metabolic and regulatory pathways in germinating rice seeds through proteomic approach. Proteomics 2011, 11, 2693-2713.
13. Sano, N., Permana, H., Kumada, R. et al., Proteomic analysis of embryonic proteins synthesized from long-lived mRNAs during germination of rice seeds. Plant Cell Physiol. 2012, 53, 687-698.
14. Xu, H., Zhang, W., Gao, Y., Zhao, Y. et al., Proteomic analysis of embryo development in rice (Oryza sativa). Planta 2012, 235, 687-701.
15. Zi, J., Zhang, J., Wang, Q., Lin, L. et al., Proteomics study of rice embryogenesis: discovery of the embryogenesis-dependent globulins. Electrophoresis 2012, 33, 1129-1138.
16. Xu, S. B., Yu, H. T., Yan, L. F., Wang, T., Integrated proteomic and cytological study of rice endosperms at the storage phase. J. Proteome Res. 2010, 9, 4906-4918.
17. Yu, H. T., Xu, S. B., Zheng, C. H., Wang, T., Comparative proteomic study reveals the involvement of diurnal cycle in cell division, enlargement, and starch accumulation in developing endosperm of Oryza sativa. J. Proteome Res. 2012, 11, 359-371.
18. Wang, Z., Wang, T., Dynamic proteomic analysis reveals diurnal homeostasis of key pathways in rice leaves. Proteomics 2011, 11, 225-238.
19. Hwang, H., Cho, M. H., Hahn, B. S., Lim, H. et al., Proteomic identification of rhythmic proteins in rice seedlings. BBA Proteins Proteomics. 2011, 1814, 470-479.
20. Lee, J., Jiang, W., Qiao, Y., Cho, Y. I. et al., Shotgun proteomic analysis for detecting differentially expressed proteins in the reduced culm number rice. Proteomics 2011, 11, 455-468.
21. Que, S., Li, K., Chen, M., Wang, Y. et al., PhosphoRice: a meta-predictor of rice-specific phosphorylation sites. Plant Methods 2012, 8, 5.
22. Helmy, M., Tomita, M., Ishihama, Y., OryzaPG-DB: rice proteome database based on shotgun proteogenomics. BMC Plant Biol. 2011, 11, 63.
23. Gu, H., Zhu, P., Jiao, Y., Meng, Y., Chen, M., PRIN: a predicted rice interactome network. BMC Bioinformatics 2011, 12, 161.
24. Agrawal, G. K., Sarkar, A., Righetti, P. G., Pedreschi, R. et al., A decade of plant proteomics and mass spectrometry: translation of technical advancements to food security and safety issues. Mass Spectrom. Rev. 2013, 32, 335-365.
25. Hamamoto, K., Aki, T., Shigyo, M., Sato, S. et al., Proteomic characterization of the greening process in rice seedlings using the MS spectral intensity-based label free method. J. Proteome Res. 2012, 11, 331-347.
26. Mirzaei, M., Soltani, N., Sarhadi, E., Pascovici, D. et al., Shotgun proteomic analysis of long-distance drought signaling in rice roots. J. Proteome Res. 2012a, 11, 348-358.
27. Ellis, R.J., The most abundant protein on earth. Trends Biochem. Sci. 1979, 4, 241-244.
28. Kim, S. T., Cho, K. S., Jang, Y. S., Kang, K. Y., Two-dimensional electrophoretic analysis of rice proteins by polyethylene glycol fractionation for protein arrays. Electrophoresis 2001, 22, 2103-2109.
29. Kim, U. J., Lee, H. M., Wang, Y., Wu, J. et al., Depletion of abundant plant RuBisCO protein using the protamine sulfate precipitation method. Proteomics 2013, 13, 2176-2179.
30. Song, Y., Zhang, H., Wang, G., Shen, Z., DMSO, an organic cleanup solvent for TCA/acetone-precipitated proteins, improves 2-DE protein analysis of rice roots. Plant Mol. Biol. Rep. 2012, 30, 1204-1209.
31. Kosová, K., Vítámvás, P., Prášil, I. T., Renaut, J., Plant proteome changes under abiotic stress-contribution of proteomics studies to understanding plant stress response. J. Proteomics 2011, 74, 1301-1322.
32. Agrawal, G. K., Rakwal, R., Yonekura, M., Kubo, A., Saji, H., Proteome analysis of differentially displayed proteins as a tool for investigating ozone stress in rice (Oryza sativa L.) seedlings. Proteomics 2002, 2, 947-959.
33. Yan, S. P., Zhang, Q. Y., Tang, Z. C., Su, W. A., Sun, W. N., Comparative proteomic analysis provides new insights into chilling stress responses in Rice. Mol. Cell. Proteomics 2006, 5, 484-496.
34. Kim, S. T., Wang, Y., Kang, S. Y., Kim, S. G. et al., Developing rice embryo proteomics reveals essential role for embryonic proteins in regulation of seed germination. J. Proteome Res. 2009, 8, 3598-3605.
35. Nover, L., Bharti, K., Doring, P., Mishra, S. K. et al., Arabidopsis and the heat stress transcription factor world: how many heat stress transcription factors do we need? Cell Stress Chaperones 2001, 6, 177-189.
36. Hanafy, M. S., El-Banna, A., Schumacher, H. M., Jacobsen, H. J., Hassan, F. S., Enhanced tolerance to drought and salt stresses in transgenic faba bean (Vicia faba L.) plants by heterologous expression of the PR10a gene from potato. Plant Cell Rep. 2013, 32, 663-674.
37. Ahsan, N., Lee, D. G., Kim, K. H., Alam, I. et al., Analysis of arsenic stress-induced differentially expressed proteins in rice leaves by two-dimensional gel electrophoresis coupled with mass spectrometry. Chemosphere 2010, 78, 224-231.
38. Lee, K., Bae, D. W., Kim, S. H., Han, H. J. et al., Comparative proteomic analysis of the short-term responses of rice roots and leaves to cadmium. J. Plant Physiol. 2010, 167, 161-168.
39. Cai, Y., Cao, F., Wei, K., Zhang, G., Wu, F., Genotypic dependent effect of exogenous glutathione on Cd-induced changes in proteins, ultrastructure and antioxidant defense enzymes in rice seedlings. J. Hazard Mater. 2011, 192, 1056-1066.
40. Nwugo, C. C., Huerta, A. J., The effect of silicon on the leaf proteome of rice (Oryza sativa L.) plants under cadmium-stress. J. Proteome Res. 2011, 10, 518-528.
41. Chen, Y. A., Chi, W. C., Huang, T. L., Lin, C. Y. et al., Mercury-induced biochemical and proteomic changes in rice roots. Plant Physiol. Biochem. 2012, 55, 23-32.
42. Song, Y., Cui, J., Zhang, H, Wang, G. et al., Proteomic analysis of copper stress responses in the roots of two rice (Oryza sativa L.) varieties differing in Cu tolerance. Plant Soil 2013, 366, 647-658.
43. Wang, C. Y., Shen, R. F., Wang, C., Wang, W., Root protein profile changes induced by Al exposure in two rice cultivars differing in Al tolerance. J. Proteomics 2013, 78, 281-293.
44. Yang, L., Tian, D., Todd, C. D., Luo, Y., Hu, X., Comparative proteome analyses reveal that nitric oxide is an important signal molecule in the response of rice to aluminum toxicity. J. Proteome Res. 2013, 12, 1316-1330.
45. Wang, Y. D., Wang, X., Wong, Y., Proteomics analysis reveals multiple regulatory mechanisms in response to selenium in rice. J. Proteomics 2012, 75, 1849-1866.
46. Wang, Y. D., Wang, X., Ngai, S. et al., Comparative proteomics analysis of selenium responses in selenium-enriched rice grains. J. Proteome Res. 2013, 12, 808-820.
47. Shu, L., Lou, Q., Ma, C., Ding, W. et al., Genetic, proteomic and metabolic analysis of the regulation of energy storage in rice seedlings in response to drought. Proteomics 2011, 11, 4122-4138.
48. Liu, J. X., Bennett, J., Reversible and irreversible drought-induced changes in the anther proteome of rice (Oryza sativa L.) genotypes IR64 and Moroberekan. Mol. Plant. 2011, 4, 59-69.
49. Muthurajan, R., Shobbar, Z. S., Jagadish, S. V. K. et al., Physiological and proteomic responses of rice peduncles to drought stress. Mol. Biotechnol. 2011, 48, 173-182.
50. Pandey, A., Rajamani, U., Verma, J., Subba, P. et al., Identification of extracellular matrix proteins of rice (Oryza sativa L.) involved in dehydration-responsive network: a proteomic approach. J. Proteome Res. 2010, 9, 3443-3464.
51. Xiong, J. H., Fu, B. Y., Xu, H. X., Li, Y. S., Proteomic analysis of PEG-simulated drought stress responsive proteins of rice leaves using a pyramiding rice line at the seedling stage. J. Intergr. Plant Biol. 2010, 52, 981-995.
52. Ji, K., Wang, Y., Sun, W., Lou, Q. et al., Drought-responsive mechanisms in rice genotypes with contrasting drought tolerance during reproductive stage. J. Plant Physiol. 2012, 169, 336-344.
53. Mirzaei, M., Pascovici, D., Atwell, B. J., Haynes, P. A., Differential regulation of aquaporins, small GTPases and V-ATPases proteins in rice leaves subjected to drought stress and recovery. Proteomics 2012, 12, 864-877.
54. Gue, Y., Song, Y., Differential proteomic analysis of apoplastic proteins during initial phase of salt stress in rice. Plant Signal. Behav. 2009, 4, 121-122.
55. Li, X. J., Yang, M. F., Zhu, Y., Liang, Y., Shen, S. H., Proteomic analysis of salt stress responses in rice shoot. J. Plant Biology. 2011, 54, 384-395.
56. Liu, C. W., Hsu, Y. K., Cheng, Y. H., Yen, H. C. et al., Proteomic analysis of salt-responsive ubiquitin related proteins in rice roots. Rapid Comm. Mass Spectrom. 2012, 26, 1649-1660.
57. Sarhadi, E., Bazargani, M. M., Sajise, A. G., Abdolahi, S. et al., Proteomic analysis of rice anthers under salt stress. Plant Physiol. Biochem. 2012, 58, 280-287.
58. Song, Y., Zhang, C., Ge, W., Zhang, Y. et al., Identification of NaCl stress-responsive apoplastic proteins in rice shoot stems by 2D-DIGE. J. Proteomics 2011, 74, 1045-1067.
59. Lee, D. G., Park, K. W., An, J. Y. et al., Proteomics analysis of salt-induced leaf proteins in two rice germplasms with different salt sensitivity. J. Plant Sci. 2011, 91, 337-349.
60. 3) on salt-stressed rice (Oryza sativa L.) shoots. Plant Sci. 2010, 178, 170-175.
61. Li, X. J., Yang, M. F., Chen, H. et al., Abscisic acid pretreatment enhances salt tolerance of rice seedlings: proteomic evidence. BBA Proteins Proteomics 2010, 1804, 929-940.
62. Zhang, J. H., Jia, W. S., Yang, J. C., Ismail, A. M., Role of ABA in integrating plant responses to drought and salt stresses. Field Crops Res. 2006, 97, 111-119.
63. Ding, C., You, J., Liu, Z., Rehmani, M. I. A. et al., Proteomic analysis of low nitrogen stress-responsive proteins in roots of rice. Plant Mol. Biol. Rep. 2011, 29, 618-625.
64. Ding, C., You, J., Wang, S., Liu, Z. et al., A proteomic approach to analyze nitrogen- and cytokinin-responsive proteins in rice roots. Mol. Biol. Rep. 2012, 39, 1617-1626.
65. Hakeem, K. R., Chandna, R., Ahmad, A., Qureshi, M. I. et al., Proteomic analysis for low and high nitrogen-responsive proteins in the leaves of rice genotypes grown at three nitrogen levels. Applied Biochem. Biotechnol. 2012, 168, 834-850.
66. Song, C., Zeng, F., Feibo, W., Ma, W., Zhang, G., Proteomic analysis of nitrogen stress responsive proteins in two rice cultivars differing in N utilization efficiency. J. Integrated Omics. 2010, 1, 78-87.
67. Kim, S. G., Wang, Y., Lee, C. H., Mun, B. G. et al., A comparative proteomics survey of proteins responsive to phosphorous starvation in roots of hydroponically-grown rice seedlings. J. Korean Soc. Appl. Biol. Chem. 2011, 54, 667-677.
68. Wang, F., Bai, M. Y., Deng, Z., Oses-Prieto, J. A. et al., Proteomic study identifies proteins involved in brassinosteroid regulation of rice growth. J. Integr. Plant Biol. 2010, 52, 1075-1085.
69. Rao, S. R., Ford, K. L., Cassin, A. M., Roessner, U. et al., Proteomic and metabolic profiling of rice suspension culture cells as a model to study abscisic acid signaling response pathways in plants. J. Proteome Res. 2010, 9, 6623-6634.
70. Scafaro, A. P., Haynes, P. A. et al., Physiological and molecular changes in Oryza meridionalis Ng., a heat-tolerant species of wild rice. J. Exp Bot. 2010, 61, 191-202.
71. Neilson, K. A., Mariani, M., Haynes, P. A., Quantitative proteomic analysis of cold-responsive proteins in rice. Proteomics 2011, 11, 1696-1706.
72. Gammulla, C. G., Pascovici, D., Atwell, B. J., Haynes, P. A., Differential metabolic response of cultured rice (Oryza sativa) cells exposed to high- and low-temperature stress. Proteomics 2010, 10, 3001-3019.
73. Gammulla, C. G., Pascovici, D., Atwell, B. J., Haynes, P. A., Differential proteomic response of rice (Oryza sativa) leaves exposed to high- and low-temperature stress. Poteomics 2011, 11, 2839-2850.
74. Wu, X. C., Fang, C. X., Chen, J. Y., Wang, Q. S. et al., A proteomic analysis of leaf responses to enhanced ultraviolet-B radiation in two rice (Oryza sativa L.) cultivars differing in UV sensitivity of proteomics. J. Plant Biol. 2011, 54, 251-261.
75. Du, H., Liang, Y., Pei, K., Ma, K., UV radiation-responsive proteins in rice leaves: a proteomic analysis. Plant Cell Physiol. 2011, 52, 306-316.
76. Zhou, L., Bokhari, S. A., Dong, C. J., Liu, J. Y., Comparative proteomics analysis of the root apoplasts of rice seedlings in response to hydrogen peroxide. PLoS One 2011, 6, e16723.
77. Rampitsch, C., Bykova, N. V., Proteomics and plant disease: advances in combating a major threat to the global food supply. Proteomics 2012, 12, 673-690.
78. Wang, W., Chen, L. N., Wu, H., Zang, H. et al., Comparative proteomic analysis of rice seedlings in response to inoculation with Bacillus cereus. Lett. Appl. Microbiol. 2013, 56, 208-215.
79. Chi, F., Yang, P., Han, F., Jing, Y., Shen, S., Proteomic analysis of rice seedlings infected by Sinorhizobium meliloti 1021. Proteomics 2010, 10, 1861-1874.
80. Li, D., Wang, L., Teng, S., Zhang, G. et al., Proteomics analysis of rice proteins up-regulated in response to bacterial leaf streak disease. J. Plant Biol. 2012, 55, 316-324.
81. Wang, Y., Wu, J., Park, Z. Y., Kim, S. G. et al., Comparative secretome investigation of Magnaporthe oryzae proteins responsive to nitrogen starvation. J. Proteome Res. 2011, 10, 3136-3148.
82. Jung, Y. H., Jeong, S. H., Kim, S. H., Singh, R. et al., Secretome analysis of Magnaporthe oryzae using in vitro systems. Proteomics 2012, 12, 878-900.
83. Kim, S. G., Wang, Y., Lee, K. H., Park, Z. Y. et al., In-depth insight into in vivo apoplastic secretome of rice-Magnaporthe oryzae interaction. J. Proteomics 2013, 78, 58-71.
84. Wang, Y., Wu, J., Lee, D. Y, Kim, Y. J. et al., Comparative secretome analysis of differentially-induced proteins in rice lesion mimic mutant spotted leaf 11 (spl11). Plant Omics J. 2012, 5, 567-575.
85. González, J. F., Degrassi, G., Devescovi, G., De Vleesschauwer, D. et al., A proteomic study of Xanthomonas oryzae pv. oryzae in rice xylem sap. J. Proteomics 2012, 75, 5911-5919.
86. Wang, Y., Kim, S. G., Wu, J., Huh, H. H. et al., Secretome analysis of the rice bacterium Xanthomonas oryzae (Xoo) using in vitro and in planta systems. Proteomics 2013, 13, 1901-1912.
87. Rossier, O., Van den Ackerveken, G., Bonas, U., HrpB2 and HrpF from Xanthomonas are type III-secreted proteins and essential for pathogenicity and recognition by the host plant. Mol. Microbiol. 2000, 38, 828-838.
88. Martinez-Canamero, M., Munoz-Dorado, J., Farez-Vidal, E., Inouye, M., Inouye, S., Oar, a 115-kilodalton membrane protein required for development of Myxococcus xanthus. J. Bacteriol. 1993, 175, 4756-4763.
89. Rott, P., Fleites, L., Marlow, G. C., Royer, M., Gabriel, D. W., An OmpA family outer membrane protein is required for both disease symptom development and sugarcane stalk colonization by Xanthomonas albilineans. Phytopathology 2009, 99, S110-S111.
90. Lee, S. J., Kang, K. Y., Jwa, N. S., Kim, D. W. et al., A decade of plant proteomics in South Korea: the international plant proteomics organization (INPPO) perspective and involvement. Plant Omics J. 2012, 5, 458-465.
91. Kim, S. G., Kim, S. T., Wang, Y., Yu, S. et al., The RNase activity of rice probenazole-induced protein1 (PBZ1) plays a key role in cell death in plants. Mol. Cells 2011, 31, 25-31.
92. Kim, S. T., Kim, S. G., Kang, Y. H., Wang, Y. et al., Proteomics analysis of rice lesion mimic mutant (spl1) reveals tightly localized probenazole-induced protein (PBZ1) in cells undergoing programmed cell death. J. Proteome Res. 2008, 7, 1750-1760.
93. Beers, E. P., Woffenden, B. J., Zhao, C., Plant proteolytic enzymes: possible roles during programmed cell death. Plant Mol. Biol. 2000, 44, 399-415.
94. Fowler, J. H., Narváez-Vásquez, J., Aromdee, D. N., Pautot, V. et al., Leucine aminopeptidase regulates defense and wound signaling in tomato downstream of jasmonic acid. Plant Cell 2009, 21, 1239-1251.
95. Xia, Y., Suzuki, H., Borevitz, J., Blount, J. et al., An extracellular aspartic protease functions in Arabidopsis disease signaling. EMBO J. 2004, 223, 980-988.
96. Meichtry, J., Amrhein, N., Schaller, A., Characterization of the subtilase gene family in tomato (Lycopersicon esculentum Mill). Plant Mol. Biol. 1999, 39, 749-760.
97. Veneault-Fourrey, C., Barooah, M., Egan, M., Wakley, G., Talbot, N. J., Autophagic fungal cell death is necessary for infection by the rice blast fungus. Science 2006, 312, 580-583.
98. Liao, M., Li, Y., Wang, Z., Identification of elicitor-responsive proteins in rice leaves by a proteomic approach. Proteomics 2009, 9, 2809-2819.
99. Chen, F., Yuan, Y., Li, Q., He, Z., Proteomic analysis of rice plasma membrane reveals proteins involved in early defense response to bacterial blight. Proteomics 2007, 7, 1529-1539.
100. Wei, Z., Hu, W., Lin, Q., Cheng, X. et al., Understanding rice plant resistance to the brown planthopper (Nilaparvata lugens): a proteomic approach. Proteomics 2009, 9, 2798-2808.
101. Fan, W., Cui, W., Li, X., Chen, S. et al., Proteomics analysis of rice seedling responses to ovine saliva. J. Plant Physiol. 2011, 168, 500-509.
102. Ohyanagi, H., Tanaka, T., Sakai, H., Shigemoto, Y. et al., The rice annotation project database (RAP-DB): hub for Oryza sativa ssp. japonica genome information. Nucl. Acids Res. 2006, 34, D741-D744.
103. International Rice Genome Sequencing Project. The map-based sequence of the rice genome. Nature 2005, 436, 793-800.
104. Itoh, T., Rice Genome annotation: beginnings of functional genomics, in: Upadhyaya, N. M. (Ed.), Rice Functional Genomics: Challenges, Progress and Prospects, Springer, New York, 2007, pp. 21-30.
105. Ye, X., Al-Babili, S., Klöti, A., Zhang, J. et al., Engineering provitamin A (b-carotene) biosynthetic pathway into (carotenoid-free) rice endosperm. Science 2000, 287, 303-305.
106. Agrawal, G. K., Pedreschi, R., Barkla, B. J. et al., Translational plant proteomics: a perspective. J. Proteomics 2012, 75, 4588-4601.