Literature DB >> 17117782

Applications of metabolomics in agriculture.

Richard A Dixon1, David R Gang, Adrian J Charlton, Oliver Fiehn, Harry A Kuiper, Tracey L Reynolds, Ronald S Tjeerdema, Elizabeth H Jeffery, J Bruce German, William P Ridley, James N Seiber.   

Abstract

Biological systems are exceedingly complex. The unraveling of the genome in plants and humans revealed fewer than the anticipated number of genes. Therefore, other processes such as the regulation of gene expression, the action of gene products, and the metabolic networks resulting from catalytic proteins must make fundamental contributions to the remarkable diversity inherent in living systems. Metabolomics is a relatively new approach aimed at improved understanding of these metabolic networks and the subsequent biochemical composition of plants and other biological organisms. Analytical tools within metabolomics including mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy can profile the impact of time, stress, nutritional status, and environmental perturbation on hundreds of metabolites simultaneously resulting in massive, complex data sets. This information, in combination with transcriptomics and proteomics, has the potential to generate a more complete picture of the composition of food and feed products, to optimize crop trait development, and to enhance diet and health. Selected presentations from an American Chemical Society symposium held in March 2005 have been assembled to highlight the emerging application of metabolomics in agriculture.

Entities:  

Mesh:

Year:  2006        PMID: 17117782     DOI: 10.1021/jf061218t

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  32 in total

1.  Metabolomics.

Authors:  Jeffrey R Idle; Frank J Gonzalez
Journal:  Cell Metab       Date:  2007-11       Impact factor: 27.287

2.  UV spectral fingerprinting and analysis of variance-principal component analysis: a useful tool for characterizing sources of variance in plant materials.

Authors:  Devanand L Luthria; Sudarsan Mukhopadhyay; Rebecca J Robbins; John W Finley; Gary S Banuelos; James M Harnly
Journal:  J Agric Food Chem       Date:  2008-06-24       Impact factor: 5.279

Review 3.  Genomics and bioinformatics resources for crop improvement.

Authors:  Keiichi Mochida; Kazuo Shinozaki
Journal:  Plant Cell Physiol       Date:  2010-03-05       Impact factor: 4.927

Review 4.  Nutritional metabolomics: progress in addressing complexity in diet and health.

Authors:  Dean P Jones; Youngja Park; Thomas R Ziegler
Journal:  Annu Rev Nutr       Date:  2012-04-23       Impact factor: 11.848

5.  Patterns of metabolite changes identified from large-scale gene perturbations in Arabidopsis using a genome-scale metabolic network.

Authors:  Taehyong Kim; Kate Dreher; Ricardo Nilo-Poyanco; Insuk Lee; Oliver Fiehn; Bernd Markus Lange; Basil J Nikolau; Lloyd Sumner; Ruth Welti; Eve S Wurtele; Seung Y Rhee
Journal:  Plant Physiol       Date:  2015-02-10       Impact factor: 8.340

6.  Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Authors:  J William Allwood; Alexander Erban; Sjaak de Koning; Warwick B Dunn; Alexander Luedemann; Arjen Lommen; Lorraine Kay; Ralf Löscher; Joachim Kopka; Royston Goodacre
Journal:  Metabolomics       Date:  2009-07-24       Impact factor: 4.290

Review 7.  Symbiodinium-invertebrate symbioses and the role of metabolomics.

Authors:  Benjamin R Gordon; William Leggat
Journal:  Mar Drugs       Date:  2010-09-30       Impact factor: 5.118

8.  BioSM: metabolomics tool for identifying endogenous mammalian biochemical structures in chemical structure space.

Authors:  Mai A Hamdalla; Ion I Mandoiu; Dennis W Hill; Sanguthevar Rajasekaran; David F Grant
Journal:  J Chem Inf Model       Date:  2013-02-27       Impact factor: 4.956

9.  Identification of defense compounds in Barbarea vulgaris against the herbivore Phyllotreta nemorum by an ecometabolomic approach.

Authors:  Vera Kuzina; Claus Thorn Ekstrøm; Sven Bode Andersen; Jens Kvist Nielsen; Carl Erik Olsen; Søren Bak
Journal:  Plant Physiol       Date:  2009-10-09       Impact factor: 8.340

10.  Metabolome analysis of biosynthetic mutants reveals a diversity of metabolic changes and allows identification of a large number of new compounds in Arabidopsis.

Authors:  Christoph Böttcher; Edda von Roepenack-Lahaye; Jürgen Schmidt; Constanze Schmotz; Steffen Neumann; Dierk Scheel; Stephan Clemens
Journal:  Plant Physiol       Date:  2008-06-13       Impact factor: 8.340

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