Multicolor bimolecular fluorescence complementation reveals simultaneous formation of alternative CBL/CIPK complexes in planta

被引:661
作者
Waadt, Rainer [1 ]
Schmidt, Lena K. [1 ]
Lohse, Marc [2 ]
Hashimoto, Kenji [1 ]
Bock, Ralph [2 ]
Kudla, Joerg [1 ]
机构
[1] Univ Munster, Inst Bot & Bot Garten, D-48149 Munster, Germany
[2] Max Planck Inst Mol Pflanzenphysiol, D-14476 Potsdam, Germany
关键词
protein-protein interaction; bimolecular fluorescence complementation; multicolor bimolecular fluorescence complementation; calcium signaling; CBL; CIPK;
D O I
10.1111/j.1365-313X.2008.03612.x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The specificity of intracellular signaling and developmental patterning in biological systems relies on selective interactions between different proteins in specific cellular compartments. The identification of such protein-protein interactions is essential for unraveling complex signaling and regulatory networks. Recently, bimolecular fluorescence complementation (BiFC) has emerged as a powerful technique for the efficient detection of protein interactions in their native subcellular localization. Here we report significant technical advances in the methodology of plant BiFC. We describe a series of versatile BiFC vector sets that are fully compatible with previously generated vectors. The new vectors enable the generation of both C-terminal and N-terminal fusion proteins and carry optimized fluorescent protein genes that considerably improve the sensitivity of BiFC. Using these vectors, we describe a multicolor BiFC (mcBiFC) approach for the simultaneous visualization of multiple protein interactions in the same cell. Application to a protein interaction network acting in calcium-mediated signal transduction revealed the concurrent interaction of the protein kinase CIPK24 with the calcium sensors CBL1 and CBL10 at the plasma membrane and tonoplast, respectively. We have also visualized by mcBiFC the simultaneous formation of CBL1/CIPK1 and CBL9/CIPK1 protein complexes at the plasma membrane. Thus, mcBiFC provides a useful new tool for exploring complex regulatory networks in plants.
引用
收藏
页码:505 / 516
页数:12
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