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MetaPhenomics: quantifying the many ways plants respond to their abiotic environment, using light intensity as an example

hal.structure.identifierForschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre [FZJ]
hal.structure.identifierMacquarie University
hal.structure.identifierUniversiteit Utrecht / Utrecht University [Utrecht]
dc.contributor.authorPOORTER, Hendrik
hal.structure.identifierWageningen University and Research [Wageningen] [WUR]
dc.contributor.authorYIN, Xinyou
hal.structure.identifierKing Saud University [Riyadh] [KSU]
dc.contributor.authorALYAMI, Nouf
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGIBON, Yves
hal.structure.identifierUniversiteit Utrecht / Utrecht University [Utrecht]
dc.contributor.authorPONS, Thijs
dc.date.issued2022
dc.identifier.issn0032-079X
dc.description.abstractEnThousands of scientific papers have described how plants responded to different levels of a given environmental factor, for a wide variety of physiological processes and morphological, anatomical or chemical characteristics. There is a clear need to summarize this information in a structured and comparable way through meta-analysis. This paper describes how to use relative trait responses from many independent experiments to create generalized dose-response curves. By applying the same methodology to a wide range of plant traits, varying from the molecular to the whole plant level, we can achieve an unprecedented view on the many ways that plants are affected by and acclimate to their environment. We illustrate this approach, which we refer to as ‘MetaPhenomics’, with a variety of previously published and unpublished dose-response curves of the effect of light intensity on 25 plant traits. Furthermore, we discuss the need and difficulties to expand this approach to the transcriptomics and metabolomics level, and show how the generalized dose-response curves can be used to improve simulation models as well as the communication between modelers and experimental plant biologists.
dc.language.isoen
dc.publisherSpringer Verlag
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectfacteur environnemental
dc.subjectenvironnement
dc.subject.enAbiotic environment
dc.subject.enDose-response curve
dc.subject.enLight intensity
dc.subject.enModeling
dc.subject.enNormalization
dc.title.enMetaPhenomics: quantifying the many ways plants respond to their abiotic environment, using light intensity as an example
dc.typeArticle de revue
dc.identifier.doi10.1007/s11104-022-05391-8
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalPlant and Soil
bordeaux.volumeonline first
bordeaux.peerReviewedoui
hal.identifierhal-03702403
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03702403v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Plant%20and%20Soil&rft.date=2022&rft.volume=online%20first&rft.eissn=0032-079X&rft.issn=0032-079X&rft.au=POORTER,%20Hendrik&YIN,%20Xinyou&ALYAMI,%20Nouf&GIBON,%20Yves&PONS,%20Thijs&rft.genre=article


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