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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.

hal.structure.identifierPlant Metabolism
dc.contributor.authorSULPICE, Ronan
hal.structure.identifierUniversity of Potsdam = Universität Potsdam
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorNIKOLOSKI, Zoran
dc.contributor.authorTSCHOEP, Hendrik
dc.contributor.authorANTONIO, Carla
dc.contributor.authorKLEESSEN, Sabrina
hal.structure.identifierUniversity of Potsdam = Universität Potsdam
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
hal.structure.identifierLaboratoire d'Informatique de Nantes Atlantique [LINA]
dc.contributor.authorLARHLIMI, Abdelhalim
hal.structure.identifierUniversity of Potsdam = Universität Potsdam
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorSELBIG, Joachim
dc.contributor.authorISHIHARA, Hirofumi
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGIBON, Yves
hal.structure.identifierMax-Planck-Institut für Molekulare Pflanzenphysiologie [MPI-MP]
dc.contributor.authorFERNIE, Alisdair R
dc.contributor.authorSTITT, Mark
dc.date.issued2013-05
dc.identifier.issn0032-0889
dc.description.abstractEnNatural 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 (Arabidopsis thaliana) accessions was grown in near-optimal carbon and nitrogen supply, restricted carbon supply, and restricted nitrogen 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. Partial least squares regression from metabolic traits allowed prediction of biomass within and, slightly more weakly, across conditions (cross-validated Pearson correlations in the range of 0.27-0.58 and 0.21-0.51 and P values in the range of <0.001-<0.13 and <0.001-<0.023, respectively). Metabolic traits that correlate with growth or have a high weighting in the partial least squares 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.
dc.language.isoen
dc.publisherOxford University Press ; American Society of Plant Biologists
dc.subject.meshArabidopsis
dc.subject.meshBiomass
dc.subject.meshCarbon
dc.subject.meshEnvironment
dc.subject.meshGenotype
dc.subject.meshMetabolic Networks and Pathways
dc.subject.meshModels, Statistical
dc.subject.meshNitrogen
dc.subject.meshPhenotype
dc.subject.meshRegression Analysis
dc.title.enImpact of the carbon and nitrogen supply on relationships and connectivity between metabolism and biomass in a broad panel of Arabidopsis accessions.
dc.typeArticle de revue
dc.identifier.doi10.1104/pp.112.210104
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
bordeaux.journalPlant Physiology
bordeaux.page347-63
bordeaux.volume162
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-01066953
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01066953v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=Plant%20Physiology&amp;rft.date=2013-05&amp;rft.volume=162&amp;rft.issue=1&amp;rft.spage=347-63&amp;rft.epage=347-63&amp;rft.eissn=0032-0889&amp;rft.issn=0032-0889&amp;rft.au=SULPICE,%20Ronan&amp;NIKOLOSKI,%20Zoran&amp;TSCHOEP,%20Hendrik&amp;ANTONIO,%20Carla&amp;KLEESSEN,%20Sabrina&amp;rft.genre=article


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