SE141:/DS1
From Metabolonote
Sample Set Information
ID | TSE1242 |
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Title | Impact of clock-associated Arabidopsis pseudo-response regulators in metabolic coordination. |
Description | In higher plants, the circadian clock controls a wide range of cellular processes such as photosynthesis and stress responses. Understanding metabolic changes in arrhythmic plants and determining output-related function of clock genes would help in elucidating circadian-clock mechanisms underlying plant growth and development. In this work, we investigated physiological relevance of PSEUDO-RESPONSE REGULATORS (PRR 9, 7, and 5) in Arabidopsis thaliana by transcriptomic and metabolomic analyses. Metabolite profiling using gas chromatography-time-of-flight mass spectrometry demonstrated well-differentiated metabolite phenotypes of seven mutants, including two arrhythmic plants with similar morphology, a PRR 9, 7, and 5 triple mutant and a CIRCADIAN CLOCK-ASSOCIATED 1 (CCA1)-overexpressor line. Despite different light and time conditions, the triple mutant exhibited a dramatic increase in intermediates in the tricarboxylic acid cycle. This suggests that proteins PRR 9, 7, and 5 are involved in maintaining mitochondrial homeostasis. Integrated analysis of transcriptomics and metabolomics revealed that PRR 9, 7, and 5 negatively regulate the biosynthetic pathways of chlorophyll, carotenoid and abscisic acid, and alpha-tocopherol, highlighting them as additional outputs of pseudo-response regulators. These findings indicated that mitochondrial functions are coupled with the circadian system in plants. |
Authors | Fukushima A, Kusano M, Nakamichi N, Kobayashi M, Hayashi N, Sakakibara H, Mizuno T, Saito K. |
Reference | Proc Natl Acad Sci U S A. 2009 Apr 28;106(17):7251-6. doi: 10.1073/pnas.0900952106. Epub 2009 Apr 9. Erratum in: Proc Natl Acad Sci U S A. 2009 May 26;106(21):8791. |
Comment |
Data Analysis Details Information
ID | DS1 |
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Title | Data processing |
Description | Nonprocessed raw data were treated by using a custom script described by Jonsson et al. to perform baseline correction, alignment, and peak deconvolution. Metabolites were identified by comparing their mass spectrum and retention time index (RI) with those generated for authentic compounds analyzed on our instrumentation as well as those in the MS and RI libraries in the Golm Metabolome Database. |
Comment_of_details |