Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-21396E-GEOD-39432E-GEOD-21397
PROVIDER: PRJNA126019 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Autotoxicity plays an important mechanism in regulating plant productivity. Ferulic acid (FA) is phytotoxic and was identified in extracts and residues of rice plants as a candidate for rice allelochemicals. To help characterize the autotoxicity mechanism of rice, we present the first large-scale, transcriptomic analysis of rice root responses to ferulic acid.
2013-07-22 | GSE34899 | GEO
Project description:We used GeneChip Rice Genome Array (Affymetrix, Santa Clara, CA, USA) to identify genes that were rapidly induced by N starvation (1 h) in rice roots. Transcriptomic analysis of rice roots revealed that the expression of 288 genes was differentially regulated (144 up, 144 down) by N starvation (1 h).
2018-06-30 | GSE109649 | GEO
Project description:We used GeneChip Rice Genome Array (Affymetrix, Santa Clara, CA, USA) to identify genes that were rapidly induced by glutamine in rice roots. Transcriptomic analysis of rice roots revealed that the expression of at least 35 genes involved in metabolism, transport, signal transduction, and stress responses was rapidly induced by glutamine within 30 minutes.
2015-06-30 | GSE56770 | GEO
Project description:We used GeneChip Rice Genome Array (Affymetrix, Santa Clara, CA, USA) to identify genes that were rapidly induced by NH4NO3 in rice roots. Transcriptomic analysis of rice roots revealed that the expression of at least 158 genes involved in metabolism, transport, signal transduction, and stress responses was rapidly induced by NH4NO3 within 30 minutes.
2017-12-31 | GSE98017 | GEO
Project description:We used GeneChip Rice Genome Array (Affymetrix, Santa Clara, CA, USA) to identify genes that were rapidly induced by glutamate in rice roots. Transcriptomic analysis of rice roots revealed that the expression of at least 122 genes involved in metabolism, transport, signal transduction, defense, and stress responses was rapidly induced by glutamate within 30 minutes.
2016-12-31 | GSE82277 | GEO
Project description:Autotoxicity plays an important mechanism in regulating plant productivity. Ferulic acid (FA) is phytotoxic and was identified in extracts and residues of rice plants as a candidate for rice allelochemicals. To help characterize the autotoxicity mechanism of rice, we present the first large-scale, transcriptomic analysis of rice root responses to ferulic acid. Two-condition experiment, short exposures and long exposures. Comparison of mock control and rice seedlings treated with 50 ppm ferulic acid (FA) during short (pooled from 1- and 3-h treatments), as compared to long (24 h) exposures.; Biological replicates: 3 control replicates (short and long exposures), 3 FA-treated replicates (short and long exposures).
2013-07-22 | E-GEOD-34899 | biostudies-arrayexpress
Project description:Background: Low temperature (LT) often occurs at the seedling stage in the early rice-growing season, especially for direct seeded early-season indica rice, and using flooding irrigation can mitigate LT damage in rice seedlings. The molecular mechanism by which flooding mitigates the damage induced by LT stress has not been fully elucidated. Thus, LT stress at 8C, LT accompanied by flooding (LTF) and CK (control) treatments were established for three days to determine the transcriptomic, proteomic and physiological response in direct seeded rice seedlings at the seedling stage. Results: LT damaged chloroplasts, and thylakoid lamellae, and increased osmiophilic bodies and starch grains compared to CK, but LTF alleviated the damage to chloroplast structure caused by LT. The physiological characteristics of treated plants showed that compared with LT, LTF significantly increased the contents of rubisco, chlorophyll, PEPCK, ATP and GA3 but significantly decreased soluble protein, MDA and ABA contents. 4D-label-free quantitative proteomic profiling showed that photosynthesis-responsive proteins, such as phytochrome, as well as chlorophyll and the tricarboxylic acid cycle were significantly downregulated in LT/CK and LTF/CK comparison groups. However, compared with LT, phytochrome, chlorophyllide oxygenase activity and the glucan branching enzyme in LTF were significantly upregulated in rice leaves. Transcriptomic and proteomic studies identified 72818 transcripts and 5639 proteins, and 4983 genes that were identified at both the transcriptome and proteome levels. Differentially expressed genes (DEGs) and differentially expressed proteins (DEPs) were significantly enriched in glycine, serine and threonine metabolism, biosynthesis of secondary metabolites, glycolysis/gluconeogenesis and metabolic pathways. Conclusion: Through transcriptomic, proteomic and physiological analyses, we determined that a variety of metabolic pathway changes were induced by LT and LTF. GO and KEGG enrichment analyses demonstrated that DEGs and DEPs were associated with photosynthesis pathways, antioxidant enzymes and energy metabolism pathway-related proteins. Our study provided new insights for efforts to reduce the damage to direct seeded rice caused by low-temperature stress and provided a breeding target for low temperature flooding-resistant cultivars. Further analysis of translational regulation and metabolites may help to elucidate the molecular mechanisms by which flooding mitigates low-temperature stress in direct seeded early indica rice at the seedling stage.
2021-09-10 | PXD024034 | Pride
Project description:Genomic diversity is a source of transcriptomic and phenotypic diversities. Although genomic variations in rice (Oryza sativa) accessions have been extensively analyzed, information of transcriptomic and phenotypic variations, especially for below-ground variations, are limited. Here, we report the diversities of above- and below-ground traits and transcriptomes in highly diversified 61 rice accessions grown in the upland-field. We found that phenotypic variations were explained by four principal components and that tiller numbers and crown root diameters could summarize admixture groups. Transcriptome analysis revealed that admixture-group-associated differentially expressed genes were enriched with stress response related genes, suggesting that admixture groups have distinct stress response mechanisms. Root growth was negatively correlated with auxin inducible genes, suggesting the association between auxin signaling and mild drought stress. Negative correlation between crown root diameters and stress response related genes suggested that thicker crown root diameter is associated with mild drought stress tolerance. Finally co-expression network analysis implemented with DAP-seq analysis identified phytohormone signaling network and key transcription factors negatively regulating crown root diameters. Our datasets would serve as an important resource for understanding genomic and transcriptomic basis of phenotypic variations under the upland-field condition.
2021-03-07 | GSE162312 | GEO
Project description:In order to research the genetic mechanism of deep rooting in rice, we performed the transcriptomic assay of the roots in rice.
2017-07-12 | GSE84297 | GEO