Literature DB >> 20023150

AtMetExpress development: a phytochemical atlas of Arabidopsis development.

Fumio Matsuda1, Masami Y Hirai, Eriko Sasaki, Kenji Akiyama, Keiko Yonekura-Sakakibara, Nicholas J Provart, Tetsuya Sakurai, Yukihisa Shimada, Kazuki Saito.   

Abstract

Plants possess many metabolic genes for the production of a wide variety of phytochemicals in a tissue-specific manner. However, the metabolic systems behind the diversity and tissue-dependent regulation still remain unknown due to incomplete characterization of phytochemicals produced in a single plant species. Thus, having a metabolome dataset in addition to the genome and transcriptome information resources would enrich our knowledge of plant secondary metabolism. Here we analyzed phytochemical accumulation during development of the model plant Arabidopsis (Arabidopsis thaliana) using liquid chromatography-mass spectrometry in samples covering many growth stages and organs. We also obtained tandem mass spectrometry spectral tags of many metabolites as a resource for elucidation of metabolite structure. These are part of the AtMetExpress metabolite accumulation atlas. Based on the dataset, we detected 1,589 metabolite signals from which the structures of 167 metabolites were elucidated. The integrated analyses with transcriptome data demonstrated that Arabidopsis produces various phytochemicals in a highly tissue-specific manner, which often accompanies the expression of key biosynthesis-related genes. We also found that a set of biosynthesis-related genes is coordinately expressed among the tissues. These data suggested that the simple mode of regulation, transcript to metabolite, is an origin of the dynamics and diversity of plant secondary metabolism.

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Mesh:

Year:  2009        PMID: 20023150      PMCID: PMC2815869          DOI: 10.1104/pp.109.148031

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  61 in total

1.  Analysis of codon usage diversity of bacterial genes with a self-organizing map (SOM): characterization of horizontally transferred genes with emphasis on the E. coli O157 genome.

Authors:  S Kanaya; M Kinouchi; T Abe; Y Kudo; Y Yamada; T Nishi; H Mori; T Ikemura
Journal:  Gene       Date:  2001-10-03       Impact factor: 3.688

2.  PRIMe: a Web site that assembles tools for metabolomics and transcriptomics.

Authors:  Kenji Akiyama; Eisuke Chikayama; Hiroaki Yuasa; Yukihisa Shimada; Takayuki Tohge; Kazuo Shinozaki; Masami Yokota Hirai; Tetsuya Sakurai; Jun Kikuchi; Kazuki Saito
Journal:  In Silico Biol       Date:  2008

3.  Optimization and testing of mass spectral library search algorithms for compound identification.

Authors:  S E Stein; D R Scott
Journal:  J Am Soc Mass Spectrom       Date:  1994-09       Impact factor: 3.109

Review 4.  Functional genomics for plant natural product biosynthesis.

Authors:  Keiko Yonekura-Sakakibara; Kazuki Saito
Journal:  Nat Prod Rep       Date:  2009-08-25       Impact factor: 13.423

5.  Elucidation of gene-to-gene and metabolite-to-gene networks in arabidopsis by integration of metabolomics and transcriptomics.

Authors:  Masami Yokota Hirai; Marion Klein; Yuuta Fujikawa; Mitsuru Yano; Dayan B Goodenowe; Yasuyo Yamazaki; Shigehiko Kanaya; Yukiko Nakamura; Masahiko Kitayama; Hideyuki Suzuki; Nozomu Sakurai; Daisuke Shibata; Jim Tokuhisa; Michael Reichelt; Jonathan Gershenzon; Jutta Papenbrock; Kazuki Saito
Journal:  J Biol Chem       Date:  2005-05-02       Impact factor: 5.157

6.  Metabolomics approach for determining growth-specific metabolites based on Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Hiroki Takahashi; Kosuke Kai; Yoko Shinbo; Kenichi Tanaka; Daisaku Ohta; Taku Oshima; Md Altaf-Ul-Amin; Ken Kurokawa; Naotake Ogasawara; Shigehiko Kanaya
Journal:  Anal Bioanal Chem       Date:  2008-06-16       Impact factor: 4.142

7.  Tapetum-specific location of a cation-dependent O-methyltransferase in Arabidopsis thaliana.

Authors:  Christin Fellenberg; Carsten Milkowski; Bettina Hause; Peter-Robert Lange; Christoph Böttcher; Jürgen Schmidt; Thomas Vogt
Journal:  Plant J       Date:  2008-06-28       Impact factor: 6.417

8.  ATTED-II provides coexpressed gene networks for Arabidopsis.

Authors:  Takeshi Obayashi; Shinpei Hayashi; Motoshi Saeki; Hiroyuki Ohta; Kengo Kinoshita
Journal:  Nucleic Acids Res       Date:  2008-10-25       Impact factor: 16.971

9.  An "Electronic Fluorescent Pictograph" browser for exploring and analyzing large-scale biological data sets.

Authors:  Debbie Winter; Ben Vinegar; Hardeep Nahal; Ron Ammar; Greg V Wilson; Nicholas J Provart
Journal:  PLoS One       Date:  2007-08-08       Impact factor: 3.240

10.  Metabolite annotations based on the integration of mass spectral information.

Authors:  Yoko Iijima; Yukiko Nakamura; Yoshiyuki Ogata; Ken'ichi Tanaka; Nozomu Sakurai; Kunihiro Suda; Tatsuya Suzuki; Hideyuki Suzuki; Koei Okazaki; Masahiko Kitayama; Shigehiko Kanaya; Koh Aoki; Daisuke Shibata
Journal:  Plant J       Date:  2008-02-07       Impact factor: 6.417

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  65 in total

1.  Toward genome-wide metabolotyping and elucidation of metabolic system: metabolic profiling of large-scale bioresources.

Authors:  Masami Yokota Hirai; Yuji Sawada; Shigehiko Kanaya; Takashi Kuromori; Masatomo Kobayashi; Romy Klausnitzer; Kosuke Hanada; Kenji Akiyama; Tetsuya Sakurai; Kazuki Saito; Kazuo Shinozaki
Journal:  J Plant Res       Date:  2010-04-06       Impact factor: 2.629

2.  Systematic structural characterization of metabolites in Arabidopsis via candidate substrate-product pair networks.

Authors:  Kris Morreel; Yvan Saeys; Oana Dima; Fachuang Lu; Yves Van de Peer; Ruben Vanholme; John Ralph; Bartel Vanholme; Wout Boerjan
Journal:  Plant Cell       Date:  2014-03-31       Impact factor: 11.277

3.  Integration of biosynthesis and long-distance transport establish organ-specific glucosinolate profiles in vegetative Arabidopsis.

Authors:  Tonni Grube Andersen; Hussam Hassan Nour-Eldin; Victoria Louise Fuller; Carl Erik Olsen; Meike Burow; Barbara Ann Halkier
Journal:  Plant Cell       Date:  2013-08-30       Impact factor: 11.277

4.  Metabolomic analysis reveals that the accumulation of specific secondary metabolites in Echinacea angustifolia cells cultured in vitro can be controlled by light.

Authors:  Chiara Francesca Guarnerio; Marica Fraccaroli; Irene Gonzo; Giovanna Pressi; Roberto Dal Toso; Flavia Guzzo; Marisa Levi
Journal:  Plant Cell Rep       Date:  2011-10-19       Impact factor: 4.570

5.  Expression of PRX36, PMEI6 and SBT1.7 is controlled by complex transcription factor regulatory networks for proper seed coat mucilage extrusion.

Authors:  Philippe Ranocha; Edith Francoz; Vincent Burlat; Christophe Dunand
Journal:  Plant Signal Behav       Date:  2014

6.  Illuminating a plant's tissue-specific metabolic diversity using computational metabolomics and information theory.

Authors:  Dapeng Li; Sven Heiling; Ian T Baldwin; Emmanuel Gaquerel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-07       Impact factor: 11.205

Review 7.  Seed coats as an alternative molecular factory: thinking outside the box.

Authors:  Edith Francoz; Loïc Lepiniec; Helen M North
Journal:  Plant Reprod       Date:  2018-07-28       Impact factor: 3.767

8.  Reversed-Phase Liquid Chromatography-Quadrupole-Time-of-Flight Mass Spectrometry for High-Throughput Molecular Profiling of Sea Cucumber Cerebrosides.

Authors:  Zicai Jia; Peixu Cong; Hongwei Zhang; Yu Song; Zhaojie Li; Jie Xu; Changhu Xue
Journal:  Lipids       Date:  2015-06-03       Impact factor: 1.880

9.  Alternation of flavonoid accumulation under drought stress in Arabidopsis thaliana.

Authors:  Ryo Nakabayashi; Tetsuya Mori; Kazuki Saito
Journal:  Plant Signal Behav       Date:  2014

Review 10.  Identification of small molecules using accurate mass MS/MS search.

Authors:  Tobias Kind; Hiroshi Tsugawa; Tomas Cajka; Yan Ma; Zijuan Lai; Sajjan S Mehta; Gert Wohlgemuth; Dinesh Kumar Barupal; Megan R Showalter; Masanori Arita; Oliver Fiehn
Journal:  Mass Spectrom Rev       Date:  2017-04-24       Impact factor: 10.946

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