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基于蛋白质组学模式的拟南芥野生型和光感受器突变体光反应分析。

Proteomic pattern-based analyses of light responses in Arabidopsis thaliana wild-type and photoreceptor mutants.

作者信息

Kim Dong Su, Cho Dae Shik, Park Won-Man, Na Hyung Jin, Nam Hong Gil

机构信息

Division of Molecular and Life Sciences and Systems Bio-Dynamics Research Center, POSTECH, Hyoja-dong, Pohang, Kyungbuk 790-784, Republic of Korea.

出版信息

Proteomics. 2006 May;6(10):3040-9. doi: 10.1002/pmic.200500670.

Abstract

Light critically affects the physiology of plants. Using two-dimensional gel electrophoresis, we used a proteomics approach to analyze the responses of Arabidopsis thaliana to red (660 nm), far-red (730 nm) and blue (450 nm) light, which are utilized by type II and type I phytochromes, and blue light receptors, respectively. Under specific light treatments, the proteomic profiles of 49 protein spots exhibited over 1.8-fold difference in protein abundance, significant at p <0.05. Most of these proteins were metabolic enzymes, indicating metabolic changes induced by light of specific wavelengths. The differentially-expressed proteins formed seven clusters, reflecting co-regulation. We used the 49 differentially-regulated proteins as molecular markers for plant responses to light, and by developing a procedure that calculates the Pearson correlation distance of cluster-to-cluster similarity in expression changes, we assessed the proteome-based relatedness of light responses for wild-type and phytochrome mutant plants. Overall, this assessment was consistent with the known physiological responses of plants to light. However, we also observed a number of novel responses at the proteomic level, which were not predicted from known physiological changes.

摘要

光对植物的生理机能有着至关重要的影响。我们采用蛋白质组学方法,利用二维凝胶电泳分析了拟南芥对红光(660纳米)、远红光(730纳米)和蓝光(450纳米)的反应,这些光分别被II型和I型光敏色素以及蓝光受体所利用。在特定的光照处理下,49个蛋白点的蛋白质组图谱显示蛋白质丰度差异超过1.8倍,在p <0.05时具有显著性。这些蛋白质大多是代谢酶,表明特定波长的光会诱导代谢变化。差异表达的蛋白质形成了七个簇,反映了共同调控。我们将这49个差异调控的蛋白质用作植物对光反应的分子标记,并通过开发一种计算表达变化中簇与簇相似性的皮尔逊相关距离的程序,评估了野生型和光敏色素突变体植物基于蛋白质组的光反应相关性。总体而言,这一评估与植物对光的已知生理反应一致。然而,我们在蛋白质组水平上也观察到了一些新的反应,这些反应无法从已知的生理变化中预测出来。

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