ArticleeLife2015
Multiple abiotic stimuli are integrated in the regulation of rice gene expression under field conditions.
Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gene network modules associated with abiotic stress response in tolerant rice genotypes identified by transcriptome meta-analysis.Functional & integrative genomics · 2020Pooled it
- Locally adapted Arabidopsis thaliana accessions show transcriptomic plasticity in a multi-timescale analysis of whole-genome gene expression in a natural environment.Plant biology (Stuttgart, Germany) · 2026Article
- Plant defence priming and memory mechanisms under climate change.Essays in biochemistry · 2026Review
- Selection on genome-wide gene expression plasticity of rice in wet and dry field environments.Molecular ecology · 2025Article
- Field-crop transcriptome models are enhanced by measurements in systematically controlled environments.Genome biology · 2025Article
- Advancing ecological and evolutionary research in Arabidopsis: Extending insights into model and nonmodel plants.The Plant cell · 2025Review
- Transcriptome Profiling Identifies Key Regulators of Tuber Skin Color in Potato.Plants (Basel, Switzerland) · 2025Article
- Simulation study of factors affecting the accuracy of transcriptome models under complex environments.Plant molecular biology · 2025Article
- A multi-level approach reveals key physiological and molecular traits in the response of two rice genotypes subjected to water deficit at the reproductive stage.Plant-environment interactions (Hoboken, N.J.) · 2023Review
- Growth-limiting drought stress induces time-of-day-dependent transcriptome and physiological responses in hybrid poplar.AoB PLANTS · 2022Article
- Comparative Analysis of Environment-Responsive Alternative Splicing in the Inflorescences of Cultivated and Wild Tomato Species.International journal of molecular sciences · 2022Article
- Deleterious Mutations and the Rare Allele Burden on Rice Gene Expression.Molecular biology and evolution · 2022Article
- Evolutionary systems biology reveals patterns of rice adaptation to drought-prone agro-ecosystems.The Plant cell · 2022Article
- Transcriptome profiling of two rice genotypes under mild field drought stress during grain-filling stage.AoB PLANTS · 2021Article
- Single cell gene regulatory networks in plants: Opportunities for enhancing climate change stress resilience.Plant, cell & environment · 2021Review
- Advancing crop genomics from lab to field.Nature genetics · 2021Review
- EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture.G3 (Bethesda, Md.) · 2021Article
- Using single-plant-omics in the field to link maize genes to functions and phenotypes.Molecular systems biology · 2020Article
- Genes of thePlant physiology · 2020Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants rely on transcriptional dynamics to respond to multiple climatic fluctuations and contexts in nature. We analyzed the genome-wide gene expression patterns of rice (Oryza sativa) growing in rainfed and irrigated fields during two distinct tropical seasons and determined simple linear models that relate transcriptomic variation to climatic fluctuations. These models combine multiple environmental parameters to account for patterns of expression in the field of co-expressed gene clusters. We examined the similarities of our environmental models between tropical and temperate field conditions, using previously published data. We found that field type and macroclimate had broad impacts on transcriptional responses to environmental fluctuations, especially for genes involved in photosynthesis and development. Nevertheless, variation in solar radiation and temperature at the timescale of hours had reproducible effects across environmental contexts. These results provide a basis for broad-based predictive modeling of plant gene expression in the field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.