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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/10_201...
Part of book or chapter of book . 2018 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Part of book or chapter of book . 2018
Data sources: u:cris
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Metabolomics in Plant Stress Physiology

Authors: Ghatak, Arindam; Chaturvedi, Palak; Weckwerth, Wolfram;

Metabolomics in Plant Stress Physiology

Abstract

Metabolomics is an essential technology for functional genomics and systems biology. It plays a key role in functional annotation of genes and understanding towards cellular and molecular, biotic and abiotic stress responses. Different analytical techniques are used to extend the coverage of a full metabolome. The commonly used techniques are NMR, CE-MS, LC-MS, and GC-MS. The choice of a suitable technique depends on the speed, sensitivity, and accuracy. This chapter provides insight into plant metabolomic techniques, databases used in the analysis, data mining and processing, compound identification, and limitations in metabolomics. It also describes the workflow of measuring metabolites in plants. Metabolomic studies in plant responses to stress are a key research topic in many laboratories worldwide. We summarize different approaches and provide a generic overview of stress responsive metabolite markers and processes compiled from a broad range of different studies. Graphical Abstract.

Country
Austria
Related Organizations
Keywords

106031 Plant physiology, ELECTROSPRAY-IONIZATION, GAS-CHROMATOGRAPHY, COLD-ACCLIMATION, Biotic stress, Stress, Physiological, FUNCTIONAL GENOMICS, Metabolomics, OXIDATIVE STRESS, Data mining, Analytical platforms, Mass spectrometry, 106057 Metabolomics, RAFFINOSE FAMILY OLIGOSACCHARIDES, Systems Biology, 106057 Metabolomik, 106031 Pflanzenphysiologie, CHROMATOGRAPHY-MASS-SPECTROMETRY, Functional genomics, Plants, Abiotic stress, CONFERS OSMOTOLERANCE, ARABIDOPSIS-THALIANA, Metabolome, PATTERN-RECOGNITION, Systems biology

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
82
Top 1%
Top 10%
Top 1%
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