title: Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit.
abstract: Leaves have a central role in plant energy capture and carbon conversion and therefore must continuously adapt their development to prevailing environmental conditions. To reveal the dynamic systems behaviour of leaf development, we profiled Arabidopsis leaf number six in depth at four different growth stages, at both the end-of-day and end-of-night, in plants growing in two controlled experimental conditions: short-day conditions with optimal soil water content and constant reduced soil water conditions. We found that the lower soil water potential led to reduced, but prolonged, growth and an adaptation at the molecular level without a drought stress response. Clustering of the protein and transcript data using a decision tree revealed different patterns in abundance changes across the growth stages and between end-of-day and end-of-night that are linked to specific biological functions. Correlations between protein and transcript levels depend on the time-of-day and also on protein localisation and function. Surprisingly, only very few of >1700 quantified proteins showed diurnal abundance fluctuations, despite strong fluctuations at the transcript level.
authors.affiliation: Department of Biology, ETH Zurich, Zurich, Switzerland. bkatja@ethz.ch
authors.forename: Katja
authors.initials: K
authors.lastname: Baerenfaller
authors.forename: Catherine
authors.initials: C
authors.lastname: Massonnet
authors.forename: Sean
authors.initials: S
authors.lastname: Walsh
authors.forename: Sacha
authors.initials: S
authors.lastname: Baginsky
authors.forename: Peter
authors.initials: P
authors.lastname: Bühlmann
authors.forename: Lars
authors.initials: L
authors.lastname: Hennig
authors.forename: Matthias
authors.initials: M
authors.lastname: Hirsch-Hoffmann
authors.forename: Katharine A
authors.initials: KA
authors.lastname: Howell
authors.forename: Sabine
authors.initials: S
authors.lastname: Kahlau
authors.forename: Amandine
authors.initials: A
authors.lastname: Radziejwoski
authors.forename: Doris
authors.initials: D
authors.lastname: Russenberger
authors.forename: Dorothea
authors.initials: D
authors.lastname: Rutishauser
authors.forename: Ian
authors.initials: I
authors.lastname: Small
authors.forename: Daniel
authors.initials: D
authors.lastname: Stekhoven
authors.forename: Ronan
authors.initials: R
authors.lastname: Sulpice
authors.forename: Julia
authors.initials: J
authors.lastname: Svozil
authors.forename: Nathalie
authors.initials: N
authors.lastname: Wuyts
authors.forename: Mark
authors.initials: M
authors.lastname: Stitt
authors.forename: Pierre
authors.initials: P
authors.lastname: Hilson
authors.forename: Christine
authors.initials: C
authors.lastname: Granier
authors.forename: Wilhelm
authors.initials: W
authors.lastname: Gruissem
mesh_terms: D000220:Adaptation, Biological / Q000235:genetics*; D017360:Arabidopsis / Q000254:growth & development* / Q000378:metabolism; D016000:Cluster Analysis; D003624:Darkness; D055864:Droughts; D020869:Gene Expression Profiling / Q000379:methods; D008027:Light; D017440:Photoperiod; D018515:Plant Leaves / Q000254:growth & development* / Q000378:metabolism; D018526:Plant Transpiration / Q000502:physiology; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics / Q000379:methods; D012987:Soil; D059467:Transcriptome / Q000502:physiology*; D014867:Water / Q000378:metabolism
chemical_list: D020543:Proteome; D012987:Soil; D014867:Water