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Title: THE WHEAT (TRITICUM AESTIVUM L.) LEAF PROTEOME

Author
item DONNELLY, BRYNA - OKLAHOMA STATE UNIV
item MADDEN, ROBIN - OKLAHOMA STATE UNIV
item AYOUBI, PATRICIA - OKLAHOMA STATE UNIV
item Porter, David
item DILWITH, JACK - OKLAHOMA STATE UNIV

Submitted to: Proteomics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/20/2004
Publication Date: 5/1/2005
Citation: Donnelly, B.E., Madden, R.D., Ayoubi, P., Porter, D.R., Dilwith, J.W. 2005. The wheat (Triticum aestivum L.) leaf proteome. Proteomics. 5:1624-1633.

Interpretive Summary: The study of protein production, function and metabolism are crucial to our understanding of how plants respond to their environment. A set of studies was carried out to partially characterize the proteome of the wheat leaf to shed light on the types of proteins produced in this vital plant tissue. Analytical approaches were utilized to visualize total protein profiles from green wheat leaves, then to map and characterize their function to form baseline information needed for future wheat research. Over 400 proteins were visualized, and 277 of these were chosen for more intensive study. Based on information obtained through sequencing and database searching, 142 of these proteins were identified (a 51% success rate). Most of the identified proteins were involved in energy production, and primary and secondary metabolism. This success rate of 51% for identifying proteins is a major advancement over previous plant proteomic studies. These exciting results indicate the potential value of future proteomic studies of wheat.

Technical Abstract: The wheat leaf proteome was mapped and partially characterized to function as a comparative template for future wheat research. In total, 404 proteins were visualized, and 277 of these were selected for analysis based on reproducibility and relative quantity. Using a combination of protein and expressed sequence tag database searching, 142 proteins were putatively identified with an identification success rate of 51%. The identified proteins were grouped according to their functional annotations with the majority (40%) being involved in energy production, primary, or secondary metabolism. Only 8% of the protein identifications lacked ascertainable functional annotation. The 51% ratio of successful identification and the 8% unclear functional annotation rate are major improvements over most previous plant proteomic studies. This clearly indicates the advancement of the plant protein and nucleic acid sequence and annotation data available in the databases, and shows the enhanced feasibility of future wheat leaf proteome research.