Literature DB >> 15800971

The wheat (Triticum aestivum L.) leaf proteome.

Bryna E Donnelly1, Robin D Madden, Patricia Ayoubi, David R Porter, Jack W Dillwith.   

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.

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Year:  2005        PMID: 15800971     DOI: 10.1002/pmic.200401042

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  17 in total

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Journal:  Plant Physiol       Date:  2007-05-03       Impact factor: 8.340

4.  Identification of differentially expressed proteins between hybrid and parents in wheat (Triticum aestivum L.) seedling leaves.

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7.  Proteomic characterization of the Rph15 barley resistance gene-mediated defence responses to leaf rust.

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8.  Proteomics: a biotechnology tool for crop improvement.

Authors:  Moustafa Eldakak; Sanaa I M Milad; Ali I Nawar; Jai S Rohila
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9.  Organ-specific proteome analysis for identification of abiotic stress response mechanism in crop.

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Journal:  Front Plant Sci       Date:  2013-04-03       Impact factor: 5.753

10.  Comparative proteomic analysis of embryos between a maize hybrid and its parental lines during early stages of seed germination.

Authors:  Baojian Guo; Yanhong Chen; Guiping Zhang; Jiewen Xing; Zhaorong Hu; Wanjun Feng; Yingyin Yao; Huiru Peng; Jinkun Du; Yirong Zhang; Zhongfu Ni; Qixin Sun
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

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