Literature DB >> 17468106

Top-down phenomics of Arabidopsis thaliana: metabolic profiling by one- and two-dimensional nuclear magnetic resonance spectroscopy and transcriptome analysis of albino mutants.

Chunjie Tian1, Eisuke Chikayama, Yuuri Tsuboi, Takashi Kuromori, Kazuo Shinozaki, Jun Kikuchi, Takashi Hirayama.   

Abstract

Elucidating the function of each gene in a genome is important for understanding the whole organism. We previously constructed 4000 disruptant mutants of Arabidopsis by insertion of Ds transposons. Here, we describe a top-down phenomics approach based on metabolic profiling that uses one-dimensional 1H and two-dimensional 1H,13C NMR analyses and transcriptome analysis of albino mutant lines of Arabidopsis. One-dimensional 1H NMR metabolic fingerprinting revealed global metabolic changes in the albino mutants, notably a decrease in aromatic metabolites and changes in aliphatic metabolites. NMR measurements of plants fed with 13C6-glucose showed that the albino lines had dramatically different 13C-labeling patterns and increased levels of several amino acids, especially Asn and Gln. Microarray analysis of one of the albino lines revealed a unique expression profile and showed that changes in the expression of genes encoding metabolic enzymes did not correspond with changes in the levels of metabolites. Collectively, these results suggest that albino mutants lose the normal carbon/nitrogen balance, presumably mainly through lack of photosynthesis. Our study offers an idea of how much the metabolite network is affected by chloroplast function in plants and shows the effectiveness of NMR-based metabolic analysis for metabolite profiling. On the basis of these findings, we propose that future investigations of plant systems biology combine transcriptomic, metabolomic, and phenomic analyses of gene disruptant lines.

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Year:  2007        PMID: 17468106     DOI: 10.1074/jbc.M700549200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  22 in total

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Journal:  Nature       Date:  2013-11-13       Impact factor: 49.962

3.  Signaling between chloroplasts and the nucleus: can a systems biology approach bring clarity to a complex and highly regulated pathway?

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4.  A rapid, simple method for the genetic discrimination of intact Arabidopsis thaliana mutant seeds using metabolic profiling by direct analysis in real-time mass spectrometry.

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8.  Evaluation and characterization of bacterial metabolic dynamics with a novel profiling technique, real-time metabolotyping.

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Journal:  PLoS One       Date:  2009-03-16       Impact factor: 3.240

9.  Differences in Cellulosic Supramolecular Structure of Compositionally Similar Rice Straw Affect Biomass Metabolism by Paddy Soil Microbiota.

Authors:  Tatsuki Ogura; Yasuhiro Date; Jun Kikuchi
Journal:  PLoS One       Date:  2013-06-19       Impact factor: 3.240

10.  Correlation exploration of metabolic and genomic diversity in rice.

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Journal:  BMC Genomics       Date:  2009-12-01       Impact factor: 3.969

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