ArticleScientific data2025
Proteomic dataset of sorghum leaf and root responses to single and combined drought and heat stress.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Genomics, Multi-Omics, and Emerging Artificial Intelligence for Combined Drought-Heat Stress Resilience in Plants: A Structured Narrative Review.Plants (Basel, Switzerland) · 2026Review
- Investigating GERMs: how genotype, environment, and rhizosphere microbiome interactions underlie heat response in maize and sorghum.The New phytologist · 2026Article
- Biofilm-FormingPlants (Basel, Switzerland) · 2026Article
- Article
- Investigating GERMs: How Genotype, Environment, and Rhizosphere Microbiome interactions underlie heat response in maize and sorghum.bioRxiv : the preprint server for biology · 2025Article
- Sorghum as a monocot model for drought research.Frontiers in plant science · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Drought and heat stress significantly limit crop growth and productivity. Their simultaneous occurrence, as often observed in summer crops, leads to larger yield losses. Sorghum is well adapted to dry and hot conditions. Despite the progress that has been made in determining proteomic responses to water deficit or heat stress in crops, such information remains limited for crops subjected to combined water deficit and heat stress. This study presents quantitative proteomics analyses of leaf and root tissues of two contrasting sorghum genotypes grown under normal conditions, water deficit stress, heat stress, and water deficit combined with heat stress. We identified differentially expressed proteins between the two genotypes under these different treatments. GO and KEGG annotation revealed biological processes and molecular pathways associated with sorghum responses to these treatments. Interpretation as well as integration of these proteomics data with other 'omics' signatures may highlight key mechanisms involved in sorghum adaptations to these stresses.
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Registered trials
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