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

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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.
Keywords
CIRCADIAN CLOCK, MESSENGER-RNA, PLANT-GROWTH, CONTROLLED TUMOR PROTEIN, GENE-EXPRESSION, water deficit, molecular profiling, leaf growth, integrated data analysis, adaptation, TRANSCRIPTOME ANALYSIS, CELL-CYCLE, THALIANA, DROUGHT, RESPONSES

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MLA
Baerenfaller, Katja, Catherine Massonnet, Sean Walsh, et al. “Systems-based Analysis of Arabidopsis Leaf Growth Reveals Adaptation to Water Deficit.” MOLECULAR SYSTEMS BIOLOGY 8 (2012): n. pag. Print.
APA
Baerenfaller, K., Massonnet, C., Walsh, S., Baginsky, S., Bühlmann, P., Hennig, L., Hirsch-Hoffmann, M., et al. (2012). Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit. MOLECULAR SYSTEMS BIOLOGY, 8.
Chicago author-date
Baerenfaller, Katja, Catherine Massonnet, Sean Walsh, Sacha Baginsky, Peter Bühlmann, Lars Hennig, Matthias Hirsch-Hoffmann, et al. 2012. “Systems-based Analysis of Arabidopsis Leaf Growth Reveals Adaptation to Water Deficit.” Molecular Systems Biology 8.
Chicago author-date (all authors)
Baerenfaller, Katja, Catherine Massonnet, Sean Walsh, Sacha Baginsky, Peter Bühlmann, Lars Hennig, Matthias Hirsch-Hoffmann, Katharina A Howell, Sabine Kahlau, Amandine Radziejwoski, Doris Russenberger, Dorothea Rutishauser, Ian Small, Daniel Stekhoven, Ronan Sulpice, Julia Svozil, Nathalie Wuyts, Mark Stitt, Pierre Hilson, Christine Granier, and Wilhelm Gruissem. 2012. “Systems-based Analysis of Arabidopsis Leaf Growth Reveals Adaptation to Water Deficit.” Molecular Systems Biology 8.
Vancouver
1.
Baerenfaller K, Massonnet C, Walsh S, Baginsky S, Bühlmann P, Hennig L, et al. Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit. MOLECULAR SYSTEMS BIOLOGY. 2012;8.
IEEE
[1]
K. Baerenfaller et al., “Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit,” MOLECULAR SYSTEMS BIOLOGY, vol. 8, 2012.
@article{3033863,
  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.},
  articleno    = {606},
  author       = {Baerenfaller, Katja and Massonnet, Catherine and Walsh, Sean and Baginsky, Sacha and Bühlmann, Peter and Hennig, Lars and Hirsch-Hoffmann, Matthias and Howell, Katharina A and Kahlau, Sabine and Radziejwoski, Amandine and Russenberger, Doris and Rutishauser, Dorothea and Small, Ian and Stekhoven, Daniel and Sulpice, Ronan and Svozil, Julia and Wuyts, Nathalie and Stitt, Mark and Hilson, Pierre and Granier, Christine and Gruissem, Wilhelm},
  issn         = {1744-4292},
  journal      = {MOLECULAR SYSTEMS BIOLOGY},
  keywords     = {CIRCADIAN CLOCK,MESSENGER-RNA,PLANT-GROWTH,CONTROLLED TUMOR PROTEIN,GENE-EXPRESSION,water deficit,molecular profiling,leaf growth,integrated data analysis,adaptation,TRANSCRIPTOME ANALYSIS,CELL-CYCLE,THALIANA,DROUGHT,RESPONSES},
  language     = {eng},
  pages        = {18},
  title        = {Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit},
  url          = {http://dx.doi.org/10.1038/msb.2012.39},
  volume       = {8},
  year         = {2012},
}

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