ArticleRice (New York, N.Y.)2021
Integration of Dual Stress Transcriptomes and Major QTLs from a Pair of Genotypes Contrasting for Drought and Chronic Nitrogen Starvation Identifies Key Stress Responsive Genes in Rice.
Article in Rice (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Transcriptomic Landscape and Regulatory Pathways of Drought Response in Rice (International journal of molecular sciences · 2026Pooled it
- Molecular characterization of superoxide dismutase (SOD) genes for optimizing nitrogen-use efficiency and enhancing crop resilience against drought stress in rice.BMC plant biology · 2026Article
- Regulatory networks and molecular mechanisms underlying salt stress tolerance in rice.Frontiers in plant science · 2026Review
- Unlocking genetic hotspots: GWAS reveals key nitrogen responsive genomic regions and key genes for root and yield traits in indica rice.Molecular genetics and genomics : MGG · 2025Article
- Article
- Identification of Key Genes and Pathways for Anaerobic Germination Tolerance in Rice Using Weighted Gene Co-Expression Network Analysis (WGCNA) in Association with Quantitative Trait Locus (QTL) Mapping.Rice (New York, N.Y.) · 2024Article
- Preliminary study on the diagnosis of NK stress based on the puncture mechanical characteristics of cucumber stem.BMC plant biology · 2024Article
- Integration of miRNA dynamics and drought tolerant QTLs in rice reveals the role of miR2919 in drought stress response.BMC genomics · 2023Article
- Transcriptome and Physio-Biochemical Profiling Reveals Differential Responses of Rice Cultivars at Reproductive-Stage Drought Stress.International journal of molecular sciences · 2023Article
- Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits.Frontiers in plant science · 2023Article
- Article
- Overexpression of a DUF740 family gene (Frontiers in plant science · 2022Article
- Validation of a high-confidence regulatory network for gene-to-NUE phenotype in field-grown rice.Frontiers in plant science · 2022Article
- Genome-Wide Identification and Characterization ofFrontiers in plant science · 2022Article
- Genome-Wide Expression Analysis of Root Tips in Contrasting Rice Genotypes Revealed Novel Candidate Genes for Water Stress Adaptation.Frontiers in plant science · 2022Article
- A genome wide transcriptional study ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
- Rice Transcriptome Analysis Reveals Nitrogen Starvation Modulates Differential Alternative Splicing and Transcript Usage in Various Metabolism-Related Genes.Life (Basel, Switzerland) · 2021Article
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12 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
We report here the genome-wide changes resulting from low N (N-W+), low water (N+W-)) and dual stresses (N-W-) in root and shoot tissues of two rice genotypes, namely, IR 64 (IR64) and Nagina 22 (N22), and their association with the QTLs for nitrogen use efficiency. For all the root parameters, except for root length under N-W+, N22 performed better than IR64. Chlorophyll a, b and carotenoid content were higher in IR64 under N+W+ treatment and N-W+ and N+W- stresses; however, under dual stress, N22 had higher chlorophyll b content. While nitrite reductase, glutamate synthase (GS) and citrate synthase assays showed better specific activity in IR64, glutamate dehydrogenase showed better specific activity in N22 under dual stress (N-W-); the other N and C assimilating enzymes showed similar but low specific activities in both the genotypes. A total of 8926 differentially expressed genes (DEGs) were identified compared to optimal (N+W+) condition from across all treatments. While 1174, 698 and 903 DEGs in IR64 roots and 1197, 187 and 781 in N22 roots were identified, nearly double the number of DEGs were found in the shoot tissues; 3357, 1006 and 4005 in IR64 and 4004, 990 and 2143 in N22, under N-W+, N+W- and N-W- treatments, respectively. IR64 and N22 showed differential expression in 15 and 11 N-transporter genes respectively, under one or more stress treatments, out of which four showed differential expression also in N+W- condition. The negative regulators of N- stress, e.g., NIGT1, OsACTPK1 and OsBT were downregulated in IR64 while in N22, OsBT was not downregulated. Overall, N22 performed better under dual stress conditions owing to its better root architecture, chlorophyll and porphyrin synthesis and oxidative stress management. We identified 12 QTLs for seed and straw N content using 253 recombinant inbred lines derived from IR64 and N22 and a 5K SNP array. The QTL hotspot region on chromosome 6 comprised of 61 genes, of which, five were DEGs encoding for UDP-glucuronosyltransferase, serine threonine kinase, anthocyanidin 3-O-glucosyltransferase, and nitrate induced proteins. The DEGs, QTLs and candidate genes reported in this study can serve as a major resource for both rice improvement and functional biology.
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