Literature DB >> 27642699

Subcellular reprogramming of metabolism during cold acclimation in Arabidopsis thaliana.

Imke I Hoermiller1, Thomas Naegele2,3, Hanna Augustin1, Simon Stutz1, Wolfram Weckwerth2,3, Arnd G Heyer1.   

Abstract

Metabolite changes in plant leaves during exposure to low temperatures involve re-allocation of a large number of metabolites between sub-cellular compartments. Therefore, metabolite determination at the whole cell level may be insufficient for interpretation of the functional significance of cellular compounds. To investigate the cold-induced metabolite dynamics at the level of individual sub-cellular compartments, an integrative platform was developed that combines quantitative metabolite profiling by gas chromatography coupled to mass spectrometry (GC-MS) with the non-aqueous fractionation technique allowing separation of cytosol, vacuole and the plastidial compartment. Two mutants of Arabidopsis thaliana representing antipodes in the diversion of carbohydrate metabolism between sucrose and starch were compared to Col-0 wildtype before and after cold acclimation to investigate interactions of cold acclimation with subcellular re-programming of metabolism. A multivariate analysis of the data set revealed dominant effects of compartmentation on metabolite concentrations that were modulated by environmental condition and genetic determinants. While for both, the starchless mutant of plastidial phospho-gluco mutase (pgm) and a mutant defective in sucrose-phosphate synthase A1, metabolic constraints, especially at low temperature, could be uncovered based on subcellularly resolved metabolite profiles, only pgm had lowered freezing tolerance. Metabolic profiles of pgm point to redox imbalance as a possible reason for reduced cold acclimation capacity.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  metabolite profiling; pgm mutant; spsa1 mutant; subcellular compartmentation

Mesh:

Substances:

Year:  2016        PMID: 27642699     DOI: 10.1111/pce.12836

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  27 in total

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2.  Evolutionary footprints of a cold relic in a rapidly warming world.

Authors:  Eva Wolf; Emmanuel Gaquerel; Mathias Scharmann; Levi Yant; Marcus A Koch
Journal:  Elife       Date:  2021-12-21       Impact factor: 8.140

3.  Ratio of sugar concentrations in the phloem sap and the cytosol of mesophyll cells in different tree species as an indicator of the phloem loading mechanism.

Authors:  Daniel Fink; Elena Dobbelstein; Andreas Barbian; Gertrud Lohaus
Journal:  Planta       Date:  2018-06-07       Impact factor: 4.116

4.  Identification of microRNAs and their target genes related to needle discoloration of evergreen tree Chinese cedar (Cryptomeria fortunei) in cold winters.

Authors:  Yingting Zhang; Junjie Yang; Lijuan Zhu; Jinyu Xue; Hailiang Hu; Jiebing Cui; Jin Xu
Journal:  Planta       Date:  2021-07-20       Impact factor: 4.116

5.  Exogenous carbon source supplementation counteracts root and hypocotyl growth limitations under increased cotyledon shading, with glucose and sucrose differentially modulating growth curves.

Authors:  Judith García-González; Jozef Lacek; Wolfram Weckwerth; Katarzyna Retzer
Journal:  Plant Signal Behav       Date:  2021-08-24

6.  A Benchtop Fractionation Procedure for Subcellular Analysis of the Plant Metabolome.

Authors:  Lisa Fürtauer; Wolfram Weckwerth; Thomas Nägele
Journal:  Front Plant Sci       Date:  2016-12-22       Impact factor: 5.753

7.  Mechanisms of frost resistance in Arabidopsis thaliana.

Authors:  Imke I Hoermiller; Moritz Ruschhaupt; Arnd G Heyer
Journal:  Planta       Date:  2018-06-23       Impact factor: 4.116

8.  Effect of Short-Term Cold Treatment on Carbohydrate Metabolism in Potato Leaves.

Authors:  Sławomir Orzechowski; Dorota Sitnicka; Agnieszka Grabowska; Julia Compart; Joerg Fettke; Edyta Zdunek-Zastocka
Journal:  Int J Mol Sci       Date:  2021-07-04       Impact factor: 5.923

9.  Subcellular metabolomics: the choice of method depends on the aim of the study.

Authors:  Karl-Josef Dietz
Journal:  J Exp Bot       Date:  2017-12-16       Impact factor: 6.992

10.  Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World.

Authors:  Dario Di Silvestre; Andrea Bergamaschi; Edoardo Bellini; PierLuigi Mauri
Journal:  Proteomes       Date:  2018-06-03
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