Systematic Annotation and Bioinformatics Analyses of Large-Scale Oryza sativa Proteome

Lili      Liu; Lin      Bai; Cong      Luo; Donglin      Huang; Ming      Chen

doi:10.2174/1389203711109070621

Abstract

Much has been now recognized on the rice (Oryza sativa L.) proteomics by using the powerful experimental tool two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). 2D-PAGE can be utilized for monitoring global changes of quantitative protein expression in specific tissues under various conditions. However, systematic annotations of the protein spots generated by 2D-PAGE are still limited for rice. In this study, a new approach for Oryza sativa proteome annotation based on the 2D-gel maps was developed. Based on the publicly available 2D-PAGE data of rice, 11,201 gel spots were annotated accounting for 87.2% of the total spots on the gel maps. Gel spot alignments were performed for the annotated gel maps belonging to 23 rice tissues or organelles. In summary, 253 alignments between 23 tissues or organelles were performed, and 26,207 co-expressed proteins were identified using our analytical strategy. Largescale bi-cluster analysis of 23 tissues/organelles proteomes of rice was carried out to detect novel functional proteins. Function and pathway analysis identified a number of common gene products with great potential in regulating specific physiological and biochemical events within various rice tissues/organelles. It also suggested that the tissue- or organellespecific proteins might be responsible for the functional divergence of these tissues or organelles. Taken together, this study provides us new strategies and informative resources for rice proteome research based on 2D-PAGE data.

Keywords: Rice, 2D-page, OsPAD, annotation, alignment, pathway, Oryza sativa L, long-grain, morphology, proteomics, proteome