ArticleMolecular systems biology2012
Systems-based analysis of Arabidopsis leaf growth reveals adaptation to water deficit.
Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.
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Who cites it
113 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A multiscale growth atlas of Arabidopsis: linking cell dynamics to organ development.The New phytologist · 2026Pooled it
- Diurnal changes of polysome loading track sucrose content in the rosette of wild-type arabidopsis and the starchless pgm mutant.Plant physiology · 2013Pooled it
- Rubisco functional integrity requires a dedicated three-step maturation pathway.Science advances · 2026Article
- Integrative analysis of CAM photosynthesis reveals its impact on primary metabolism in Yucca.Journal of experimental botany · 2026Article
- Time- and space-resolved transcriptional regulation in Arabidopsis thaliana.Plant biology (Stuttgart, Germany) · 2026Article
- Stress drives plasticity in leaf ageing transcriptional dynamics in Arabidopsis thaliana.Nature plants · 2026Article
- Antagonistic regulation of nitrogen and drought signaling mediated by NIN-like protein 7 transcription factor inProceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Involvement of thePlants (Basel, Switzerland) · 2025Article
- Uncovering protein prenylation in Th1 cells: novel prenylation sites and insights into statin and farnesyltransferase inhibition.BMC biology · 2025Article
- Dual and spatially resolved drought responses in the Arabidopsis leaf mesophyll revealed by single-cell transcriptomics.The New phytologist · 2025Article
- GWAS identifies novel loci linked to seedling growth traits in highly diverse barley population under drought stress.Scientific reports · 2025Article
- Multifaceted natural drought response mechanisms in three elite date palm cultivars uncovered by expressed sequence tags analysis.Scientific reports · 2024Article
- Transcriptional repression ofPlant direct · 2024Article
- Morphological and Genomic Differences in the Italian Populations ofPlants (Basel, Switzerland) · 2024Article
- The Arabidopsis leaf quantitative atlas: a cellular and subcellular mapping through unified data integration.Quantitative plant biology · 2024Article
- A phospho-dawn of protein modification anticipates light onset in the picoeukaryote Ostreococcus tauri.Journal of experimental botany · 2023Article
- Genome-wide circadian gating of a cold temperature response in bread wheat.PLoS genetics · 2023Article
- Article
- Genetic architecture of leaf morphology revealed by integrated trait module inHorticulture research · 2023Article
- Overexpression of a Senescence-Related GeneInternational journal of molecular sciences · 2022Article
53 more citing papers are in PubMed but not listed here.
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21 authors.
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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.
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