Literature DB >> 23696093

Comprehensive dissection of spatiotemporal metabolic shifts in primary, secondary, and lipid metabolism during developmental senescence in Arabidopsis.

Mutsumi Watanabe1, Salma Balazadeh, Takayuki Tohge, Alexander Erban, Patrick Giavalisco, Joachim Kopka, Bernd Mueller-Roeber, Alisdair R Fernie, Rainer Hoefgen.   

Abstract

Developmental senescence is a coordinated physiological process in plants and is critical for nutrient redistribution from senescing leaves to newly formed sink organs, including young leaves and developing seeds. Progress has been made concerning the genes involved and the regulatory networks controlling senescence. The resulting complex metabolome changes during senescence have not been investigated in detail yet. Therefore, we conducted a comprehensive profiling of metabolites, including pigments, lipids, sugars, amino acids, organic acids, nutrient ions, and secondary metabolites, and determined approximately 260 metabolites at distinct stages in leaves and siliques during senescence in Arabidopsis (Arabidopsis thaliana). This provided an extensive catalog of metabolites and their spatiotemporal cobehavior with progressing senescence. Comparison with silique data provides clues to source-sink relations. Furthermore, we analyzed the metabolite distribution within single leaves along the basipetal sink-source transition trajectory during senescence. Ceramides, lysolipids, aromatic amino acids, branched chain amino acids, and stress-induced amino acids accumulated, and an imbalance of asparagine/aspartate, glutamate/glutamine, and nutrient ions in the tip region of leaves was detected. Furthermore, the spatiotemporal distribution of tricarboxylic acid cycle intermediates was already changed in the presenescent leaves, and glucosinolates, raffinose, and galactinol accumulated in the base region of leaves with preceding senescence. These results are discussed in the context of current models of the metabolic shifts occurring during developmental and environmentally induced senescence. As senescence processes are correlated to crop yield, the metabolome data and the approach provided here can serve as a blueprint for the analysis of traits and conditions linking crop yield and senescence.

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Year:  2013        PMID: 23696093      PMCID: PMC3707545          DOI: 10.1104/pp.113.217380

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


  118 in total

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Journal:  Plant Physiol       Date:  1997-02       Impact factor: 8.340

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3.  Exploring the temperature-stress metabolome of Arabidopsis.

Authors:  Fatma Kaplan; Joachim Kopka; Dale W Haskell; Wei Zhao; K Cameron Schiller; Nicole Gatzke; Dong Yul Sung; Charles L Guy
Journal:  Plant Physiol       Date:  2004-11-19       Impact factor: 8.340

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Authors:  Diego H Sanchez; Mohammad R Siahpoosh; Ute Roessner; Michael Udvardi; Joachim Kopka
Journal:  Physiol Plant       Date:  2008-02       Impact factor: 4.500

5.  TagFinder for the quantitative analysis of gas chromatography--mass spectrometry (GC-MS)-based metabolite profiling experiments.

Authors:  Alexander Luedemann; Katrin Strassburg; Alexander Erban; Joachim Kopka
Journal:  Bioinformatics       Date:  2008-01-19       Impact factor: 6.937

Review 6.  Non-structural carbohydrate partitioning in grass stems: a target to increase yield stability, stress tolerance, and biofuel production.

Authors:  Thomas L Slewinski
Journal:  J Exp Bot       Date:  2012-06-25       Impact factor: 6.992

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Journal:  J Biol Chem       Date:  1999-04-16       Impact factor: 5.157

8.  Nutrient retranslocation in the foliage of Pinus sylvestris L. growing along a heavy metal pollution gradient.

Authors:  T Nieminen; H S Helmisaari
Journal:  Tree Physiol       Date:  1996-10       Impact factor: 4.196

9.  The Arabidopsis onset of leaf death5 mutation of quinolinate synthase affects nicotinamide adenine dinucleotide biosynthesis and causes early ageing.

Authors:  Jos H M Schippers; Adriano Nunes-Nesi; Roxana Apetrei; Jacques Hille; Alisdair R Fernie; Paul P Dijkwel
Journal:  Plant Cell       Date:  2008-10-31       Impact factor: 11.277

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Journal:  J Exp Bot       Date:  2008-02-10       Impact factor: 6.992

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  94 in total

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Journal:  Plant Cell       Date:  2016-06-27       Impact factor: 11.277

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Journal:  Plant Cell       Date:  2015-02-03       Impact factor: 11.277

3.  Impairment in Sulfite Reductase Leads to Early Leaf Senescence in Tomato Plants.

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Journal:  Plant Physiol       Date:  2014-07-01       Impact factor: 8.340

4.  Molecular Mechanisms Preventing Senescence in Response to Prolonged Darkness in a Desiccation-Tolerant Plant.

Authors:  Meriem Durgud; Saurabh Gupta; Ivan Ivanov; M Amin Omidbakhshfard; Maria Benina; Saleh Alseekh; Nikola Staykov; Mareike Hauenstein; Paul P Dijkwel; Stefan Hörtensteiner; Valentina Toneva; Yariv Brotman; Alisdair R Fernie; Bernd Mueller-Roeber; Tsanko S Gechev
Journal:  Plant Physiol       Date:  2018-05-22       Impact factor: 8.340

5.  Dissecting the Metabolic Role of Mitochondria during Developmental Leaf Senescence.

Authors:  Daria Chrobok; Simon R Law; Bastiaan Brouwer; Pernilla Lindén; Agnieszka Ziolkowska; Daniela Liebsch; Reena Narsai; Bozena Szal; Thomas Moritz; Nicolas Rouhier; James Whelan; Per Gardeström; Olivier Keech
Journal:  Plant Physiol       Date:  2016-10-15       Impact factor: 8.340

6.  The Interplay between Sulfur and Iron Nutrition in Tomato.

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Journal:  Plant Physiol       Date:  2015-10-05       Impact factor: 8.340

7.  Fruit setting rewires central metabolism via gibberellin cascades.

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Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-03       Impact factor: 11.205

8.  Central Metabolic Responses to Ozone and Herbivory Affect Photosynthesis and Stomatal Closure.

Authors:  Stefano Papazian; Eliezer Khaling; Christelle Bonnet; Steve Lassueur; Philippe Reymond; Thomas Moritz; James D Blande; Benedicte R Albrectsen
Journal:  Plant Physiol       Date:  2016-10-06       Impact factor: 8.340

9.  Time-Course Transcriptome Analysis of Arabidopsis Siliques Discloses Genes Essential for Fruit Development and Maturation.

Authors:  Chiara Mizzotti; Lisa Rotasperti; Marco Moretto; Luca Tadini; Francesca Resentini; Bianca M Galliani; Massimo Galbiati; Kristof Engelen; Paolo Pesaresi; Simona Masiero
Journal:  Plant Physiol       Date:  2018-10-01       Impact factor: 8.340

10.  Stitching together the Multiple Dimensions of Autophagy Using Metabolomics and Transcriptomics Reveals Impacts on Metabolism, Development, and Plant Responses to the Environment in Arabidopsis.

Authors:  Céline Masclaux-Daubresse; Gilles Clément; Pauline Anne; Jean-Marc Routaboul; Anne Guiboileau; Fabienne Soulay; Ken Shirasu; Kohki Yoshimoto
Journal:  Plant Cell       Date:  2014-05-07       Impact factor: 11.277

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