Literature DB >> 20354740

Comparative metabolomics charts the impact of genotype-dependent methionine accumulation in Arabidopsis thaliana.

Miyako Kusano1, Atsushi Fukushima, Henning Redestig, Makoto Kobayashi, Hitomi Otsuki, Hitoshi Onouchi, Satoshi Naito, Masami Yokota Hirai, Kazuki Saito.   

Abstract

Methionine (Met) is an essential amino acid for all organisms. In plants, Met also functions as a precursor of plant hormones, polyamines, and defense metabolites. The regulatory mechanism of Met biosynthesis is highly complex and, despite its great importance, remains unclear. To investigate how accumulation of Met influences metabolism as a whole in Arabidopsis, three methionine over-accumulation (mto) mutants were examined using a gas chromatography-mass spectrometry-based metabolomics approach. Multivariate statistical analyses of the three mto mutants (mto1, mto2, and mto3) revealed distinct metabolomic phenotypes. Orthogonal projection to latent structures-discriminant analysis highlighted discriminative metabolites contributing to the separation of each mutant and the corresponding control samples. Though Met accumulation in mto1 had no dramatic effect on other metabolic pathways except for the aspartate family, metabolite profiles of mto2 and mto3 indicated that several extensive pathways were affected in addition to over-accumulation of Met. The pronounced changes in metabolic pathways in both mto2 and mto3 were associated with polyamines. The findings suggest that our metabolomics approach not only can reveal the impact of Met over-accumulation on metabolism, but also may provide clues to identify crucial pathways for regulation of metabolism in plants.

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Year:  2010        PMID: 20354740     DOI: 10.1007/s00726-010-0562-y

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


  6 in total

1.  S-Adenosylmethionine Synthetase 3 Is Important for Pollen Tube Growth.

Authors:  Yuan Chen; Ting Zou; Sheila McCormick
Journal:  Plant Physiol       Date:  2016-08-01       Impact factor: 8.340

2.  Metabolomic correlation-network modules in Arabidopsis based on a graph-clustering approach.

Authors:  Atsushi Fukushima; Miyako Kusano; Henning Redestig; Masanori Arita; Kazuki Saito
Journal:  BMC Syst Biol       Date:  2011-01-01

3.  A U-system approach for predicting metabolic behaviors and responses based on an alleged metabolic reaction network.

Authors:  Kansuporn Sriyudthsak; Yuji Sawada; Yukako Chiba; Yui Yamashita; Shigehiko Kanaya; Hitoshi Onouchi; Toru Fujiwara; Satoshi Naito; Ebernard O Voit; Fumihide Shiraishi; Masami Yokota Hirai
Journal:  BMC Syst Biol       Date:  2014-12-12

4.  Tobacco seeds expressing feedback-insensitive cystathionine gamma-synthase exhibit elevated content of methionine and altered primary metabolic profile.

Authors:  Ifat Matityahu; Itamar Godo; Yael Hacham; Rachel Amir
Journal:  BMC Plant Biol       Date:  2013-12-07       Impact factor: 4.215

5.  The effect of anaerobic digestate derived composts on the metabolite composition and thermal behaviour of rosemary.

Authors:  M A Bustamante; I Nogués; S Jones; G G Allison
Journal:  Sci Rep       Date:  2019-04-24       Impact factor: 4.379

6.  Chloroplast proteome analysis of Nicotiana tabacum overexpressing TERF1 under drought stress condition.

Authors:  Wei Wu; Yanchun Yan
Journal:  Bot Stud       Date:  2018-10-29       Impact factor: 2.787

  6 in total

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