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  Impact of the carbon and nitrogen supply on relationships and connectivity between metabolism and biomass in a broad panel of Arabidopsis accessions

Sulpice, R., Nikoloski, Z., Tschoep, H., Antonio, C., Kleeson, S., Lahrlimi, A., et al. (2013). Impact of the carbon and nitrogen supply on relationships and connectivity between metabolism and biomass in a broad panel of Arabidopsis accessions. Plant Physiology, 162(1), 347-363. doi:10.​1104/​pp.​112.​210104.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-1D88-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-BBFC-A
Genre: Journal Article

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Plant Physiol.-2013-Sulpice-pp.112.210104.pdf (Any fulltext), 746KB
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 Creators:
Sulpice, R.1, Author              
Nikoloski, Z.2, Author              
Tschoep, H.1, Author              
Antonio, C.3, Author              
Kleeson, S.4, Author
Lahrlimi, A.4, Author
Selbig, J.5, Author              
Hirofumi, I.4, Author
Gibon, Y.1, Author              
Fernie, A. R.3, Author              
Stitt, M.1, Author              
Affiliations:
1System Regulation, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753327              
2Mathematical Modelling and Systems Biology, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753341              
3Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              
4External Organizations, ou_persistent22              
5BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              

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 Abstract: Natural genetic diversity provides a powerful tool to study the complex interrelationship between metabolism and growth. Profiling of metabolic traits combined with network-based and statistical analyses allow the comparison of conditions and identification of sets of traits that predict biomass. However, it often remains unclear why a particular set of metabolites is linked with biomass, and to what extent the predictive model is applicable beyond a particular growth condition. A panel of 97 genetically-diverse Arabidopsis accessions was grown in near-optimal C and N supply, restricted C supply and restricted N supply and analyzed for biomass and 54 metabolic traits. Correlation-based metabolic networks were generated from the genotype-dependent variation in each condition to reveal sets of metabolites that show coordinated changes across accessions. The networks were largely specific for a single growth condition. PLS regression from metabolic traits allowed prediction of biomass within and, slightly more weakly, across conditions (cross-validated Pearson correlations in the range 0.27-0.58 and 0.21-0.51; p-values in the range <0.001-<0.13, and <0.001-<0.023, respectively). Metabolic traits that correlate with growth or have a high weighting in the PLS regression were mainly condition-specific, and often related to the resource that restricts growth under that condition. Linear mixed model analysis using the combined metabolic traits from all growth conditions as an input indicated that inclusion of random effects for the conditions improves predictions of biomass. Thus, robust prediction of biomass across a range of conditions requires condition-specific measurement of metabolic traits to take account of environment-dependent changes of the underlying networks.

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Language(s): eng - English
 Dates: 2013-03-222013
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: Other: 23515278
DOI: 10.​1104/​pp.​112.​210104
ISSN: 1532-2548 (Electronic)0032-0889 (Linking)
URI: http://www.ncbi.nlm.nih.gov/pubmed/23515278
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Title: Plant Physiology
  Other : Plant Physiol.
Source Genre: Journal
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Publ. Info: Bethesda, Md. : American Society of Plant Biologists
Pages: - Volume / Issue: 162 (1) Sequence Number: - Start / End Page: 347 - 363 Identifier: ISSN: 0032-0889
CoNE: https://pure.mpg.de/cone/journals/resource/991042744294438