ArticleNature plants2022
Divergence in the ABA gene regulatory network underlies differential growth control.
Article in Nature plants, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 53 citations in OpenAlex.
- Ancient Whole-Genome Duplication and Lineage-Specific Retention Shape the Diversification of bZIP Transcription Factors in Pooideae.Plants (Basel, Switzerland) · 2026Article
- Evolutionary diversity of cell-type-specific expression and stress response in Brassicaceae roots.Nature communications · 2026Article
- Evolutionary diversity of cell-type-specific expression and stress response in Brassicaceae roots.bioRxiv : the preprint server for biology · 2026Article
- Conserved and divergent gene regulatory networks for crop drought resistance.Nature communications · 2026Article
- PbrMYB31 enhances abiotic stress tolerance by promoting suberin biosynthesis in Arabidopsis.BMC plant biology · 2026Article
- Review
- Assessing extreme sea level rise impacts on coastal agriculture in Europe and North Africa.Scientific reports · 2025Article
- Multi-omics analyses reveal regulatory networks underpinning metabolite biosynthesis in Nicotiana tabacum.Nature communications · 2025Article
- Translational regulation plasticity shapes wheat grain adaptation to heat stress.Genome biology · 2025Article
- Integrative omics of the genetic basis for wheat WUE and drought resilience reveal the function of TaMYB7-A1.Nature communications · 2025Article
- Unlocking gene regulatory networks for crop resilience and sustainable agriculture.Nature biotechnology · 2025Review
- The Evolution of Plant Hormones: From Metabolic Byproducts to Regulatory Hubs.International journal of molecular sciences · 2025Review
- High-Throughput Fluorescence Screening Enables Globally Consistent Identification of ABA Signaling Modulators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Transcription factor binding divergence drives transcriptional and phenotypic variation in maize.Nature plants · 2025Article
- Article
- Genome-wide characterization and expression profiling of theFrontiers in plant science · 2025Article
- Exogenous putrescine enhances salt tolerance inFrontiers in plant science · 2025Article
- De novo transcriptome assembly and discovery of drought-responsive genes in white spruce (Picea glauca).PloS one · 2025Article
- Desert-adapted tomato Solanum pennellii exhibit unique regulatory elements and stress-ready transcriptome patterns to drought.PloS one · 2025Article
- Systematic Survey and Analysis Reveal Jasmonate ZIM-Domain Gene Family inPlants (Basel, Switzerland) · 2024Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The phytohormone abscisic acid (ABA) is a central regulator of acclimation to environmental stress; however, its contribution to differences in stress tolerance between species is unclear. To establish a comparative framework for understanding how stress hormone signalling pathways diverge across species, we studied the growth response of four Brassicaceae species to ABA treatment and generated transcriptomic and DNA affinity purification and sequencing datasets to construct a cross-species gene regulatory network (GRN) for ABA. Comparison of genes bound directly by ABA-responsive element binding factors suggests that cis-factors are most important for determining the target loci represented in the ABA GRN of a particular species. Using this GRN, we reveal how rewiring of growth hormone subnetworks contributes to stark differences in the response to ABA in the extremophyte Schrenkiella parvula. Our study provides a model for understanding how divergence in gene regulation can lead to species-specific physiological outcomes in response to hormonal cues.
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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.