Show simple item record

Multiscale digital Arabidopsis predicts individual organ and whole-organism growth

hal.structure.identifierUniversity of Edinburgh [Edin.]
dc.contributor.authorCHEW, Yin Hoon
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorWENDEN, Bénédicte
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorFLIS, Anna
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorMENGIN, Virginie
dc.contributor.authorTAYLOR, Jasper
dc.contributor.authorDAVEY, Christopher
dc.contributor.authorTINDAL, Christopher
dc.contributor.authorTHOMAS, Howard
dc.contributor.authorOUGHAM, Helen
hal.structure.identifierBotanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
dc.contributor.authorDE REFFYE, Philippe
hal.structure.identifierMax Planck Institute of Molecular Plant Physiology [MPI-MP]
dc.contributor.authorSTITT, Mark
hal.structure.identifierSchool of Geosciences [Edinburgh]
dc.contributor.authorWILLIAMS, Mathew
dc.contributor.authorMUETZELFELDT, Robert
dc.contributor.authorHALLIDAY, Karen
dc.contributor.authorMILLAR, Andrew
dc.date.issued2014
dc.identifier.issn0027-8424
dc.description.abstractEnUnderstanding how dynamic molecular networks affect whole-organism physiology, analogous to mapping genotype to phenotype, remains a key challenge in biology. Quantitative models that represent processes at multiple scales and link understanding from several research domains can help to tackle this problem. Such integrated models are more common in crop science and ecophysiology than in the research communities that elucidate molecular networks. Several laboratories have modeled particular aspects of growth in Arabidopsis thaliana, but it was unclear whether these existing models could productively be combined. We test this approach by constructing a multiscale model of Arabidopsis rosette growth. Four existing models were integrated with minimal parameter modification (leaf water content and one flowering parameter used measured data). The resulting framework model links genetic regulation and biochemical dynamics to events at the organ and whole-plant levels, helping to understand the combined effects of endogenous and environmental regulators on Arabidopsis growth. The framework model was validated and tested with metabolic, physiological, and biomass data from two laboratories, for five photoperiods, three accessions, and a transgenic line, highlighting the plasticity of plant growth strategies. The model was extended to include stochastic development. Model simulations gave insight into the developmental control of leaf production and provided a quantitative explanation for the pleiotropic developmental phenotype caused by overexpression of miR156, which was an open question. Modular, multiscale models, assembling knowledge from systems biology to ecophysiology, will help to understand and to engineer plant behavior from the genome to the field.
dc.language.isoen
dc.publisherNational Academy of Sciences
dc.subject.enPlant growth model
dc.subject.enDigital organism
dc.subject.enCrop modeling
dc.subject.enEcology
dc.title.enMultiscale digital Arabidopsis predicts individual organ and whole-organism growth
dc.typeArticle de revue
dc.identifier.doi10.1073/pnas.1410238111
dc.subject.halSciences du Vivant [q-bio]/Biodiversité/Systématique, phylogénie et taxonomie
dc.subject.halSciences du Vivant [q-bio]/Ecologie, Environnement/Ecosystèmes
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale/Botanique
dc.subject.halSciences de l'environnement/Biodiversité et Ecologie
bordeaux.journalProceedings of the National Academy of Sciences of the United States of America
bordeaux.pageE4127-E4136
bordeaux.volume111
bordeaux.issue39
bordeaux.peerReviewedoui
hal.identifierhal-02063348
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02063348v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20of%20the%20United%20States%20of%20America&rft.date=2014&rft.volume=111&rft.issue=39&rft.spage=E4127-E4136&rft.epage=E4127-E4136&rft.eissn=0027-8424&rft.issn=0027-8424&rft.au=CHEW,%20Yin%20Hoon&WENDEN,%20B%C3%A9n%C3%A9dicte&FLIS,%20Anna&MENGIN,%20Virginie&TAYLOR,%20Jasper&rft.genre=article


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record