Cho Won Kyong, Chen Xiong Yan, Chu Hyosub, Rim Yeonggil, Kim Suwha, Kim Sun Tae, Kim Seon-Won, Park Zee-Yong, Kim Jae-Yean
Division of Applied Life Science (BK21 Program), Graduate School, Environmental Biotechnology National Core Research Center, PMBBRC, Gyeongsang National University, Jinju, Korea.
Physiol Plant. 2009 Apr;135(4):331-41. doi: 10.1111/j.1399-3054.2008.01198.x. Epub 2009 Feb 17.
The cell wall and extracellular matrix in higher plants include secreted proteins that play critical roles in a wide range of cellular processes, such as structural integrity and biogenesis. Compared with the intensive cell wall proteomic studies in Arabidopsis, the list of cell wall proteins identified in monocot species is lacking. Therefore, we conducted a large-scale proteomic analysis of secreted proteins from rice. Highly purified secreted rice proteins were obtained from the medium of a suspension of callus culture and were analyzed with multidimensional protein identification technology (MudPIT). As a result, we could detect a total of 555 rice proteins by MudPIT analysis. Based on bioinformatic analyses, 27.7% (154 proteins) of the identified proteins are considered to be secreted proteins because they possess a signal peptide for the secretory pathway. Among the 154 identified proteins, 27% were functionally categorized as stress response proteins, followed by metabolic proteins (26%) and factors involved in protein modification (24%). Comparative analysis of cell wall proteins from Arabidopsis and rice revealed that one third of the secreted rice proteins overlapped with those of Arabidopsis. Furthermore, 25 novel rice-specific secreted proteins were found. This work presents the large scale of the rice secretory proteome from culture medium, which contributes to a deeper understanding of the rice secretome.
高等植物中的细胞壁和细胞外基质包含一些分泌蛋白,这些蛋白在广泛的细胞过程中发挥着关键作用,如结构完整性和生物发生。与拟南芥中深入的细胞壁蛋白质组学研究相比,单子叶植物物种中鉴定出的细胞壁蛋白列表较为缺乏。因此,我们对水稻分泌蛋白进行了大规模蛋白质组学分析。从愈伤组织培养物悬浮液的培养基中获得了高度纯化的水稻分泌蛋白,并用多维蛋白质鉴定技术(MudPIT)进行了分析。结果,通过MudPIT分析我们总共检测到555种水稻蛋白。基于生物信息学分析,鉴定出的蛋白中有27.7%(154种蛋白)被认为是分泌蛋白,因为它们具有分泌途径的信号肽。在这154种鉴定出的蛋白中,27%在功能上被归类为应激反应蛋白,其次是代谢蛋白(26%)和参与蛋白质修饰的因子(24%)。对拟南芥和水稻细胞壁蛋白的比较分析表明,三分之一的水稻分泌蛋白与拟南芥的分泌蛋白重叠。此外,还发现了25种新的水稻特异性分泌蛋白。这项工作展示了来自培养基的大规模水稻分泌蛋白质组,有助于更深入地了解水稻分泌组。