ArticleBioinformation2019
Identification of putative drought-responsive genes in rice using gene co-expression analysis.
Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Identification and characterization of 13 gene families encoding enzymes involved in flavonoid biosynthesis in barley and their roles under abiotic stress.Scientific reports · 2026Article
- Article
- WGCNA analysis and identification of key genes in tobacco in response to different nitrogen levels.BMC plant biology · 2025Article
- Transcriptome and gene co-expression network analysis revealed a putative regulatory mechanism of low nitrogen response in rice seedlings.Frontiers in plant science · 2025Article
- Drought-responsive dynamics of H3K9ac-marked 3D chromatin interactions are integrated by OsbZIP23-associated super-enhancer-like promoter regions in rice.Genome biology · 2024Article
- An integrated transcriptome and physiological analysis of nitrogen use efficiency in rice (Frontiers in genetics · 2024Article
- Comparative transcriptomic data confirm the findings of dehydration stress-induced redox biology of indigenous aromatic rice cultivars.3 Biotech · 2023Article
- A detailed study on genetic diversity, antioxidant machinery, and expression profile of drought-responsive genes in rice genotypes exposed to artificial osmotic stress.Scientific reports · 2023Article
- Comprehensive in silico analysis of the underutilized crop tef (Eragrostis tef (Zucc.) Trotter) genome reveals drought tolerance signatures.BMC plant biology · 2023Article
- Identification and Functional Analysis of Drought-Responsive Long Noncoding RNAs in Maize Roots.International journal of molecular sciences · 2023Article
- Mining genes regulating root system architecture in maize based on data integration analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Network Biology Analyses and Dynamic Modeling of Gene Regulatory Networks under Drought Stress Reveal Major Transcriptional Regulators inInternational journal of molecular sciences · 2023Article
- Transcriptome and Co-Expression Network Analysis Reveals the Molecular Mechanism of Rice Root Systems in Response to Low-Nitrogen Conditions.International journal of molecular sciences · 2023Article
- Transcriptome and Physio-Biochemical Profiling Reveals Differential Responses of Rice Cultivars at Reproductive-Stage Drought Stress.International journal of molecular sciences · 2023Article
- Co-Expression Network Analysis of Soybean Transcriptome Identify Hub Genes Under Saline-Alkaline and Water Deficit Stress.Iranian journal of biotechnology · 2022Article
- Integrative System Biology Analysis of Transcriptomic Responses to Drought Stress in Soybean (Genes · 2022Article
- Optimized Method for the Identification of Candidate Genes and Molecular Maker Development Related to Drought Tolerance in Oil Palm (Plants (Basel, Switzerland) · 2022Article
- Integrated transcriptome and metabolome analysis reveals the anthocyanin biosynthesis mechanisms in blueberry (Frontiers in plant science · 2022Article
- Systematic analysis of differentially expressedPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
- A novel motif in the 5'-UTR of an orphan gene 'Big Root Biomass' modulates root biomass in sesame.Plant biotechnology journal · 2021Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drought is one of the major abiotic stresses causing yield losses and restricted growing area for several major crops. Rice being a major staple food crop and sensitive to water-deficit conditions bears heavy yield losses due to drought stress. To breed drought tolerant rice cultivars, it is of interest to understand the mechanisms of drought tolerance. In this regard, large amount of publicly available transcriptome datasets could be utilized. In this study, we used different transcriptome datasets obtained under drought stress in comparison to normal conditions (control) to identify novel drought responsive genes and their underlying molecular mechanisms. We found 517 core drought responsive differentially expressed genes (DEGs) and different modules using gene co-expression analysis to specifically predict their biological roles in drought tolerance. Gene ontology and KEGG analyses showed key biological processes and metabolic pathways involved in drought tolerance. Further, network analysis pinpointed important hub DEGs and major transcription factors regulating the expression of drought responsive genes in each module. These identified novel DEGs and transcription factors could be functionally characterized using systems biology approaches, which can significantly enhance our knowledge about the molecular mechanisms of drought tolerance in rice.
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