Elucidation of plant metabolism and its regulation based on sulfur metabolomics
| Project/Area Number |
18570052
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
植物生理・分子
|
|---|
| Research Institution | The Institute of Physical and Chemical Research |
|---|
Principal Investigator |
MASAMI Hirai The Institute of Physical and Chemical Research, Metabolic Systems Research Unit, Unit Leader (90415274)
|
|---|
| Project Period (FY) |
2006 – 2007
|
| Project Status |
Completed (Fiscal Year 2007)
|
| Budget Amount *help |
¥4,020,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥420,000)
Fiscal Year 2007: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2006: ¥2,200,000 (Direct Cost: ¥2,200,000)
|
|---|
| Keywords | sulfur / metabolite / FT / MS / mass spectrometry / metabolomics / plant |
|---|
| Research Abstract |
Sulfur (S) metabolism is essential for both plants and animals because it provides various S-containing organic compounds such as amino acids, vitamins, and cofactors, which play pivotal roles in many aspects of life. In this research I intended to elucidate plant S metabolism and its regulatory mechanism by analyzing all S-containing compounds in the cell using Fourier-transform ion cyclotron resonance mass spectrometry (FT/MS). The mass resolution and accuracy of FT/MS is extremely high, and hence, the elemental compositions of metabolites can be determined based upon their accurate mass observed. A model plant Arabidopsis thaliana was grown under various stress conditions such as S deficiency, and the metabolome was analyzed in a non-targeted manner by FT/MS. Thousands of mass peaks per sample were observed. Based on the fact that natural abundance of sulfur isotopes is S^<32> (accurate mass 31.97207):S^<34> (33.96787)=95:4, 370 putative S-containing metabolites were found among thousands of peaks observed in 190 analyses of 80 Arabidopsis samples. Among them 31 metabolites were annotated by using the public databases of natural compounds. The transcriptome of the same samples was analyzed by DNA microarray. By integration of the metabolome and transcriptome data, the metabolic pathways which seemed to be important under S starvation were estimated. The hypothesis obtained in above-mentioned studies was partly confirmed by the target metabolite analysis and RT-PCR, leading to novel findings on S-starvation response of plants.
|
Report
(3 results)
Research Products
(11 results)
