Literature DB >> 18757557

Comprehensive flavonol profiling and transcriptome coexpression analysis leading to decoding gene-metabolite correlations in Arabidopsis.

Keiko Yonekura-Sakakibara1, Takayuki Tohge, Fumio Matsuda, Ryo Nakabayashi, Hiromitsu Takayama, Rie Niida, Akiko Watanabe-Takahashi, Eri Inoue, Kazuki Saito.   

Abstract

To complete the metabolic map for an entire class of compounds, it is essential to identify gene-metabolite correlations of a metabolic pathway. We used liquid chromatography-mass spectrometry (LC-MS) to identify the flavonoids produced by Arabidopsis thaliana wild-type and flavonoid biosynthetic mutant lines. The structures of 15 newly identified and eight known flavonols were deduced by LC-MS profiling of these mutants. Candidate genes presumably involved in the flavonoid pathway were delimited by transcriptome coexpression network analysis using public databases, leading to the detailed analysis of two flavonoid pathway genes, UGT78D3 (At5g17030) and RHM1 (At1g78570). The levels of flavonol 3-O-arabinosides were reduced in ugt78d3 knockdown mutants, suggesting that UGT78D3 is a flavonol arabinosyltransferase. Recombinant UGT78D3 protein could convert quercetin to quercetin 3-O-arabinoside. The strict substrate specificity of UGT78D3 for flavonol aglycones and UDP-arabinose indicate that UGT78D3 is a flavonol arabinosyltransferase. A comparison of flavonol profile in RHM knockout mutants indicated that RHM1 plays a major role in supplying UDP-rhamnose for flavonol modification. The rate of flavonol 3-O-glycosylation is more affected than those of 7-O-glycosylation by the supply of UDP-rhamnose. The precise identification of flavonoids in conjunction with transcriptomics thus led to the identification of a gene function and a more complete understanding of a plant metabolic network.

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Year:  2008        PMID: 18757557      PMCID: PMC2553606          DOI: 10.1105/tpc.108.058040

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  40 in total

1.  Profiling of Arabidopsis secondary metabolites by capillary liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry.

Authors:  Edda von Roepenack-Lahaye; Thomas Degenkolb; Michael Zerjeski; Mathias Franz; Udo Roth; Ludger Wessjohann; Jürgen Schmidt; Dierk Scheel; Stephan Clemens
Journal:  Plant Physiol       Date:  2004-02       Impact factor: 8.340

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.  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

Review 4.  The secondary metabolism of Arabidopsis thaliana: growing like a weed.

Authors:  John C D'Auria; Jonathan Gershenzon
Journal:  Curr Opin Plant Biol       Date:  2005-06       Impact factor: 7.834

5.  The structure of the major anthocyanin in Arabidopsis thaliana.

Authors:  Stephen J Bloor; Sharon Abrahams
Journal:  Phytochemistry       Date:  2002-02       Impact factor: 4.072

6.  RHM2 is involved in mucilage pectin synthesis and is required for the development of the seed coat in Arabidopsis.

Authors:  Björn Usadel; Anja M Kuschinsky; Mario G Rosso; Nora Eckermann; Markus Pauly
Journal:  Plant Physiol       Date:  2003-12-11       Impact factor: 8.340

7.  Omics-based identification of Arabidopsis Myb transcription factors regulating aliphatic glucosinolate biosynthesis.

Authors:  Masami Yokota Hirai; Kenjiro Sugiyama; Yuji Sawada; Takayuki Tohge; Takeshi Obayashi; Akane Suzuki; Ryoichi Araki; Nozomu Sakurai; Hideyuki Suzuki; Koh Aoki; Hideki Goda; Osamu Ishizaki Nishizawa; Daisuke Shibata; Kazuki Saito
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-09       Impact factor: 11.205

8.  UGT73C6 and UGT78D1, glycosyltransferases involved in flavonol glycoside biosynthesis in Arabidopsis thaliana.

Authors:  Patrik Jones; Burkhard Messner; Jun-Ichiro Nakajima; Anton R Schäffner; Kazuki Saito
Journal:  J Biol Chem       Date:  2003-08-04       Impact factor: 5.157

9.  Related Arabidopsis serine carboxypeptidase-like sinapoylglucose acyltransferases display distinct but overlapping substrate specificities.

Authors:  Christopher M Fraser; Michael G Thompson; Amber M Shirley; John Ralph; Jessica A Schoenherr; Taksina Sinlapadech; Mark C Hall; Clint Chapple
Journal:  Plant Physiol       Date:  2007-06-28       Impact factor: 8.340

10.  A UV-B-specific signaling component orchestrates plant UV protection.

Authors:  Bobby A Brown; Catherine Cloix; Guang Huai Jiang; Eirini Kaiserli; Pawel Herzyk; Daniel J Kliebenstein; Gareth I Jenkins
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-05       Impact factor: 11.205

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  142 in total

1.  Using biologically interrelated experiments to identify pathway genes in Arabidopsis.

Authors:  Kyungpil Kim; Keni Jiang; Siew Leng Teng; Lewis J Feldman; Haiyan Huang
Journal:  Bioinformatics       Date:  2012-01-23       Impact factor: 6.937

Review 2.  Coexpression landscape in ATTED-II: usage of gene list and gene network for various types of pathways.

Authors:  Takeshi Obayashi; Kengo Kinoshita
Journal:  J Plant Res       Date:  2010-04-10       Impact factor: 2.629

3.  Combining genetic diversity, informatics and metabolomics to facilitate annotation of plant gene function.

Authors:  Takayuki Tohge; Alisdair R Fernie
Journal:  Nat Protoc       Date:  2010-06-10       Impact factor: 13.491

4.  Exploring tomato gene functions based on coexpression modules using graph clustering and differential coexpression approaches.

Authors:  Atsushi Fukushima; Tomoko Nishizawa; Mariko Hayakumo; Shoko Hikosaka; Kazuki Saito; Eiji Goto; Miyako Kusano
Journal:  Plant Physiol       Date:  2012-02-03       Impact factor: 8.340

5.  Characterization of a glucosyltransferase enzyme involved in the formation of kaempferol and quercetin sophorosides in Crocus sativus.

Authors:  Almudena Trapero; Oussama Ahrazem; Angela Rubio-Moraga; Maria Luisa Jimeno; Maria Dolores Gómez; Lourdes Gómez-Gómez
Journal:  Plant Physiol       Date:  2012-05-30       Impact factor: 8.340

6.  Integrative Approaches to Enhance Understanding of Plant Metabolic Pathway Structure and Regulation.

Authors:  Takayuki Tohge; Federico Scossa; Alisdair R Fernie
Journal:  Plant Physiol       Date:  2015-09-14       Impact factor: 8.340

7.  C4GEM, a genome-scale metabolic model to study C4 plant metabolism.

Authors:  Cristiana Gomes de Oliveira Dal'Molin; Lake-Ee Quek; Robin William Palfreyman; Stevens Michael Brumbley; Lars Keld Nielsen
Journal:  Plant Physiol       Date:  2010-10-25       Impact factor: 8.340

Review 8.  Metabolic networks: how to identify key components in the regulation of metabolism and growth.

Authors:  Mark Stitt; Ronan Sulpice; Joost Keurentjes
Journal:  Plant Physiol       Date:  2009-12-11       Impact factor: 8.340

9.  MYB20, MYB42, MYB43, and MYB85 Regulate Phenylalanine and Lignin Biosynthesis during Secondary Cell Wall Formation.

Authors:  Pan Geng; Su Zhang; Jinyue Liu; Cuihuan Zhao; Jie Wu; Yingping Cao; Chunxiang Fu; Xue Han; Hang He; Qiao Zhao
Journal:  Plant Physiol       Date:  2019-12-23       Impact factor: 8.340

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

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