Abstract
Plants have adaptive abilities to environment changes by adjusting metabolic balance to keep internal homeostasis. To understand this system, we are developing methodologies to detect easily time-dependent changes of metabolites using Arabidopsis T87 cells by Nuclear Magnetic Resonance (NMR). Firstly, we performed 1H-NMR metabolic profiling and statistical analysis of cellular metabolites upon treatments with plant hormones such as abscisic acid and salicylic acid. Secondly, under those conditions, transcripts were analyzed by microarray and to follow changing metabolites, T87 cells were uniformly labeled with 13C and the 13C labeled low molecular metabolites were identified with a combination of multi-dimensional NMR methods for instance 1H-13C-HSQC, HCCH-TOCSY, HCACO and HCCH-COSY using our standard 1H, 13C chemical shifts data base. This methodology has various potential applications; for example high-through put chemical screening based on the metabolite level. We will discuss future perspectives of this metabolic monitoring method.
