Systemic analysis of inducible target of rapamycin mutants reveal a general metabolic switch controlling growth in Arabidopsis thaliana

被引:200
作者
Caldana, Camila [1 ,2 ]
Li, Yan [1 ]
Leisse, Andrea [1 ]
Zhang, Yi [1 ]
Bartholomaeus, Lisa [1 ]
Fernie, Alisdair R. [1 ]
Willmitzer, Lothar [1 ]
Giavalisco, Patrick [1 ]
机构
[1] Max Planck Inst Mol Plant Physiol, D-14476 Potsdam, Germany
[2] Brazilian Ctr Res Energy & Mat, Brazilian Bioethanol Sci & Technol Lab, BR-13083970 Campinas, SP, Brazil
关键词
target of rapamycin; systems biology; metabolism; transcription; biomass; SENSITIVE PHOSPHOPROTEOME REVEALS; MESSENGER-RNA TRANSLATION; PLANT-GROWTH; TRANSCRIPTION FACTORS; ARTIFICIAL MICRORNAS; BIOLOGICAL NETWORKS; SIGNALING PATHWAY; PROTEIN-SYNTHESIS; SUCROSE SYNTHESIS; CELL-GROWTH;
D O I
10.1111/tpj.12080
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The target of rapamycin (TOR) pathway is a major regulator of growth in all eukaryotes, integrating energy, nutrient and stress signals into molecular decisions. By using large-scale MS-based metabolite profiling of primary, secondary and lipid compounds in combination with array-based transcript profiling, we show that the TOR protein not only regulates growth but also influences nutrient partitioning and central energy metabolism. The study was performed on plants exhibiting conditional down-regulation of AtTOR expression, revealing strong regulation of genes involved in pathways such as the cell cycle, cell-wall modifications and senescence, together with major changes in transcripts and metabolites of the primary and secondary metabolism. In agreement with these results, our morphological and metabolic analyses disclosed major metabolic changes leading to massive accumulations of storage lipids and starch. The implications of these data in the context of the general role of TOR in eukaryotic systems are discussed in parallel with the plant-specific aspects of TOR function. Finally, we propose a role for harnessing the plant TOR pathway by utilizing it as a potent metabolic switch, offering a possible route for biotechnological optimization of plant energy content and carbon partitioning for the production of bioenergy.
引用
收藏
页码:897 / 909
页数:13
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