Systems‐based analysis of Arabidopsis leaf growth reveals adaptation to water deficit

Molecular Systems Biology

Katja Baerenfaller⁶  Catherine Massonnet⁴  Sean Walsh⁶  Sacha Baginsky⁶  Peter Bühlmann³  Lars Hennig⁶  Matthias Hirsch-Hoffmann⁶  Katharine A Howell⁷  Sabine Kahlau⁷  Amandine Radziejwoski⁵  Doris Russenberger⁶  Dorothea Rutishauser²  Ian Small⁷  Daniel Stekhoven³  Ronan Sulpice¹  Julia Svozil⁶  Nathalie Wuyts⁴  Mark Stitt¹  Pierre Hilson⁵  Christine Granier⁴ 

[1] Max Planck Institute of Molecular Plant Physiology, Golm, Germany;Functional Genomics Center Zurich, Zurich, Switzerland;Seminar for Statistics, ETH Zurich, Zurich, Switzerland;Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), INRA-AGRO-M, Montpellier Cedex, France;Department of Plant Systems Biology, VIB, Gent, Belgium;Department of Biology, ETH Zurich, Zurich, Switzerland;Plant Energy Biology, ARC Centre of Excellence, The University of Western Australia, Crawley, Western Australia, Australia

关键词: adaptation;    integrated data analysis;    leaf growth;    molecular profiling;    water deficit;   

DOI  :  10.1038/msb.2012.39

来源: Wiley

【 摘 要 】

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.

Synopsis

Deep profiling of the transcriptome and proteome during leaf development reveals unexpected responses to water deficit, as well as a surprising lack of protein-level fluctuations during the day–night cycle, despite clear changes at the transcript level.

• Transcript and protein variation patterns reflect the functional stages of the leaf.
• Protein and transcript levels correlate well during leaf development, with some notable exceptions.
• Diurnal transcript-level fluctuations are not matched by corresponding diurnal fluctuations in the detected proteome.
• Continuous reduced soil water content results in reduced leaf growth, but the plant adapts at molecular levels without showing a typical drought response.

【 授权许可】

CC BY-NC-SA   
Copyright © 2012 EMBO and Macmillan Publishers Limited

Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation without specific permission.