Data Table 1-9
Abstract
Data Table 1. Differential Gene Expression Statistics of Sorghum Genes Under Salinity Stress ConditionsData Table 2. Differential Gene Expression Statistics of Sorghum Genes Under Heat Stress ConditionsData Table 3. Differential Gene Expression Statistics of Sorghum Genes Under Cold Stress ConditionsData Table 4. Differential Gene Expression Statistics of Sorghum Genes Under Drought Stress ConditionsData Table 5. Differential Gene Expression Statistics of Sorghum Genes Under ABA Treatment ConditionsData Table 6. A total of 11,470 non-redundant DEGs identified under salinity, PEG-induced drought, heat, cold, and ABA treatments were combined for co-expression analysis.Data Table 7. Sequencing Quality and Alignment Metrics for Sorghum Samples Under Abiotic Stress and Control ConditionsData Table 8. Expected Read Counts for Sorghum Genes Under Multiple Abiotic Stress Conditions and Control Treatments at Various Time PointsData Table 9. Gene Expression (TPM) Profiles of Sorghum Genes Across Multiple Abiotic Stress and Control Conditions at Various Time PointsFunctional Annotation and Enrichment Analysis: DEG analysis results were processed with InterProScan (version 5.51-85.0) to identify protein domains and assign Gene Ontology (GO) terms. GO enrichment analysis was performed using GOATools (version 0.6.5). Significantly enriched GO terms were identified via Fisher’s Exact Test, and multiple testing correction was applied using the Benjamini-Hochberg method. GO terms with an FDR-adjusted p-value < 0.05 were deemed significantly enriched. Under various stress conditions, GO enrichment analysis revealed the induction of distinct molecular and biological processes, illustrating the plant’s adaptive responses.Upsetpolt dataset: Commonly up- and downregulated genes across abiotic stress and ABA-treatment conditions
Fields of Study & Subjects
Plant Stress Responses and Tolerance
Plant Molecular Biology Research
Genetic and Environmental Crop Studies
Publication details
- Journal / source
- Figshare
- Publication date
- 3 March 2026
- Language
- EN
- Document type
- Dataset