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  Network analysis of enzyme activities and metabolite levels and their relationship to biomass in a large panel of Arabidopsis accessions

Sulpice, R., Trenkamp, S., Steinfath, M., Usadel, B., Gibon, Y., Witucka-Wall, H., et al. (2010). Network analysis of enzyme activities and metabolite levels and their relationship to biomass in a large panel of Arabidopsis accessions. The Plant Cell, 22(8), 2872-2893. doi:10.1105/tpc.110.076653.

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 Creators:
Sulpice, R.1, Author              
Trenkamp, S.2, Author              
Steinfath, M.3, Author              
Usadel, B.4, Author              
Gibon, Y.1, Author              
Witucka-Wall, H.5, Author
Pyl, E. T.1, Author              
Tschoep, H.1, Author              
Steinhauser, M.-C.1, Author              
Guenther, M.1, Author              
Hoehne, M.1, Author              
Rohwer, J. M.5, Author
Altmann, T.6, Author              
Fernie, A. R.2, Author              
Stitt, M.1, Author              
Affiliations:
1System Regulation, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753327              
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              
3BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              
4Integrative Carbon Biology, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753329              
5External Organizations, ou_persistent22              
6Developmental Physiology and Genomics, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753313              

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Free keywords: Arabidopsis/*enzymology/genetics Arabidopsis Proteins/genetics/*metabolism *Biomass Gene Expression Profiling *Genetic Variation Multivariate Analysis
 Abstract: Natural genetic diversity provides a powerful resource to investigate how networks respond to multiple simultaneous changes. In this work, we profile maximum catalytic activities of 37 enzymes from central metabolism and generate a matrix to investigate species-wide connectivity between metabolites, enzymes, and biomass. Most enzyme activities change in a highly coordinated manner, especially those in the Calvin-Benson cycle. Metabolites show coordinated changes in defined sectors of metabolism. Little connectivity was observed between maximum enzyme activities and metabolites, even after applying multivariate analysis methods. Measurements of posttranscriptional regulation will be required to relate these two functional levels. Individual enzyme activities correlate only weakly with biomass. However, when they are used to estimate protein abundances, and the latter are summed and expressed as a fraction of total protein, a significant positive correlation to biomass is observed. The correlation is additive to that obtained between starch and biomass. Thus, biomass is predicted by two independent integrative metabolic biomarkers: preferential investment in photosynthetic machinery and optimization of carbon use.

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Language(s): eng - English
 Dates: 2010-08-122010
 Publication Status: Published in print
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 Table of Contents: -
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Title: The Plant Cell
  Abbreviation : Plant C
Source Genre: Journal
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Publ. Info: Rockville : American Society of Plant Physiologists
Pages: - Volume / Issue: 22 (8) Sequence Number: - Start / End Page: 2872 - 2893 Identifier: Other: 1532-298X
CoNE: https://pure.mpg.de/cone/journals/resource/1532-298X