SE161:/MS4
From Metabolonote
Sample Set Information
| ID | TSE1320 |
|---|---|
| Title | Dissection of genotype-phenotype associations in rice grains using metabolome quantitative trait loci analysis. |
| Description | A comprehensive and large-scale metabolome quantitative trait loci (mQTL) analysis was performed to investigate the genetic backgrounds associated with metabolic phenotypes in rice grains. The metabolome dataset consisted of 759 metabolite signals obtained from the grains of 85 lines of rice (Oryza sativa, Sasanishiki x Habataki back-crossed inbred lines). Metabolome analysis was performed using four mass spectrometry pipelines to enhance detection of different classes of metabolites. This mQTL analysis of a wide range of metabolites highlighted an uneven distribution of 802 mQTLs on the rice genome, as well as different modes of metabolic trait (m-trait) control among various types of metabolites. The levels of most metabolites within rice grains were highly sensitive to environmental factors, but only weakly associated with mQTLs. Coordinated control was observed for several groups of metabolites, such as amino acids linked to the mQTL hotspot on chromosome 3. For flavonoids, m-trait variation among the experimental lines was tightly governed by genetic factors that alter the glycosylation of flavones. Many loci affecting levels of metabolites were detected by QTL analysis, and plausible gene candidates were evaluated by in silico analysis. Several mQTLs profoundly influenced metabolite levels, providing insight into the control of rice metabolism. The genomic region and genes potentially responsible for the biosynthesis of apigenin-6,8-di-C-α-l-arabinoside are presented as an example of a critical mQTL identified by the analysis. |
| Authors | Matsuda F, Okazaki Y, Oikawa A, Kusano M, Nakabayashi R, Kikuchi J, Yonemaru J, Ebana K, Yano M, Saito K. |
| Reference | Plant J. 2012 May;70(4):624-36. doi: 10.1111/j.1365-313X.2012.04903.x. Epub 2012 Feb 10. |
| Comment |
Analytical Method Details Information
| ID | MS4 |
|---|---|
| Title | CE-TOF-MS |
| Instrument | CE:Agilent CE capillary electrophoresis system (Agilent Technologies) TOF-MS:Agilent G3250AA LC/MSD TOF system (Agilent Technologies) CE-MS:Agilent G1603A |
| Instrument Type | |
| Ionization | ESI |
| Ion Mode | positive and negative |
| Description | Sample metabolomic data were acquired using four time-of-flight mass spectrometers (TOF-MS), including CE-TOF-MS for analysis of polar metabolites, GC-TOF-MS for analysis of primary metabolites, LC-Q-TOF-MS for analysis of secondary metabolites and LC-IT-TOF-MS for analysis of lipids. Analysis was performed in triplicate, and the samples were extracted from each pipeline using optimized methods.
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| Comment_of_details | Oikawa et al., Plant Physiol. 2011 Oct;157(2):544-51. doi: 10.1104/pp.111.183772. Epub 2011 Aug 16. |
