Literature DB >> 19704810

Metabolome-ionome-biomass interactions: What can we learn about salt stress by multiparallel phenotyping?

Diego H Sanchez1, Henning Redestig, Ute Krämer, Michael K Udvardi, Joachim Kopka.   

Abstract

Long-term exposure of plants to saline soil results in mineral ion imbalance, altered metabolism and reduced growth. Currently, the interaction between ion content and plant metabolism under salt-stress is poorly understood. Here we present a multivariate correlation study on the metabolome, ionome and biomass changes of Lotus japonicus challenged by salt stress. Using latent variable models, we show that increasing salinity leads to reproducible changes of metabolite, ion and nutrient pools. Strong correlations between the metabolome and the ionome or biomass may allow one to estimate the degree of salt stress experienced by a plant based on metabolite profiles. Despite the apparently high predictive power of the models, it remains to be investigated whether such metabolite profiles of non- or moderately-stressed plants can be used by breeding programs as ideal ideotypes for the selection of enhanced salt-tolerant genotypes.

Entities:  

Keywords:  acclimation; ionomic; lotus; metabolic; metabolomic; nutrients; salinity; salt stress

Year:  2008        PMID: 19704810      PMCID: PMC2634509          DOI: 10.4161/psb.3.8.6347

Source DB:  PubMed          Journal:  Plant Signal Behav        ISSN: 1559-2316


  8 in total

1.  GMD@CSB.DB: the Golm Metabolome Database.

Authors:  Joachim Kopka; Nicolas Schauer; Stephan Krueger; Claudia Birkemeyer; Björn Usadel; Eveline Bergmüller; Peter Dörmann; Wolfram Weckwerth; Yves Gibon; Mark Stitt; Lothar Willmitzer; Alisdair R Fernie; Dirk Steinhauser
Journal:  Bioinformatics       Date:  2004-12-21       Impact factor: 6.937

2.  Integrative functional genomics of salt acclimatization in the model legume Lotus japonicus.

Authors:  Diego H Sanchez; Felix Lippold; Henning Redestig; Matthew A Hannah; Alexander Erban; Ute Krämer; Joachim Kopka; Michael K Udvardi
Journal:  Plant J       Date:  2007-11-29       Impact factor: 6.417

3.  Data integration in plant biology: the O2PLS method for combined modeling of transcript and metabolite data.

Authors:  Max Bylesjö; Daniel Eriksson; Miyako Kusano; Thomas Moritz; Johan Trygg
Journal:  Plant J       Date:  2007-10-10       Impact factor: 6.417

Review 4.  Plant metabolomics reveals conserved and divergent metabolic responses to salinity.

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

6.  Comparative physiology of salt and water stress.

Authors:  R. Munns
Journal:  Plant Cell Environ       Date:  2002-02       Impact factor: 7.228

Review 7.  Na+ tolerance and Na+ transport in higher plants.

Authors:  Mark Tester; Romola Davenport
Journal:  Ann Bot       Date:  2003-04       Impact factor: 4.357

8.  The metabolic signature related to high plant growth rate in Arabidopsis thaliana.

Authors:  Rhonda C Meyer; Matthias Steinfath; Jan Lisec; Martina Becher; Hanna Witucka-Wall; Ottó Törjék; Oliver Fiehn; Anne Eckardt; Lothar Willmitzer; Joachim Selbig; Thomas Altmann
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-05       Impact factor: 11.205

  8 in total
  2 in total

1.  Comparative functional genomics of salt stress in related model and cultivated plants identifies and overcomes limitations to translational genomics.

Authors:  Diego H Sanchez; Fernando L Pieckenstain; Jedrzey Szymanski; Alexander Erban; Mariusz Bromke; Matthew A Hannah; Ute Kraemer; Joachim Kopka; Michael K Udvardi
Journal:  PLoS One       Date:  2011-02-14       Impact factor: 3.240

2.  Changes in primary metabolites and volatile organic compounds in cotton seedling leaves exposed to silver ions and silver nanoparticles revealed by metabolomic analysis.

Authors:  Yong Yang; PengMeng Du; Wenjie Lai; Liyan Yin; Yuanhao Ding; Zhonghua Li; Haiyan Hu
Journal:  PeerJ       Date:  2022-04-21       Impact factor: 3.061

  2 in total

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