Ontology highlight
ABSTRACT:
PROVIDER: PRJNA760818 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Normally, rice can elongate the coleoptile under submerged condition. However, reduced adh activity (rad) mutant cannot elongate the coleoptile under submergence. To investigate the change in gene expression, we performed microarray analysis. In this analysis, we used 1 day old seedling of rice. But it is difficult to isolate only coleoptile from rice embryo without any contamination in this stage. Therefore, we applied laser microdissection (LM) technique to this microarray. By use of LM, we isolated coleoptile from rice embryo and use for microarray analysis. As the results, we found that the differences in the gene expression profiles of coleoptile between wild type and rad mutant.
2011-04-07 | GSE26632 | GEO
Project description:Normally, rice can elongate the coleoptile under submerged condition. However, reduced adh activity (rad) mutant cannot elongate the coleoptile under submergence. To investigate the change in gene expression, we performed microarray analysis. In this analysis, we used 1 day old seedling of rice. But it is difficult to isolate only coleoptile from rice embryo without any contamination in this stage. Therefore, we applied laser microdissection (LM) technique to this microarray. By use of LM, we isolated coleoptile from rice embryo and use for microarray analysis. As the results, we found that the differences in the gene expression profiles of coleoptile between wild type and rad mutant. Gene expression analysis in coleoptile of wild type and mutant.
2011-04-07 | E-GEOD-26632 | biostudies-arrayexpress
Project description:Purpose: To understand the miRNAome changes during coleoptile senescence, small RNA libraries were constructed from control and senescence tissues and subjected to Illumina sequencing. Methods: Rice seeds were surface sterilized and submerged for seven days in sterile water. The seeds with coleoptile was transferred to aerobic condition. Senescence progression was monitored and tissues of un-senesced and senesced coleoptiles were harvested. Total RNA was isolated from the harvested tissues. Total four small RNA libraries of coleoptile senescence were constructed and high-throughput sequencing was performed using Illumina GA IIx system . . Results: Small RNA sequencing identified forty-one known and twenty-one novel miRNAs that were differentially expressed during coleoptile senescence. Integration of expression data of transcriptome and miRNAome identified 148 miRNA-mRNA modules, mainly comprised of miRNAs regulating TFs, signaling-associated factors and transporters, thereby demonstrating multi-tiered regulation of coleoptile senescence. Conclusions: The present study has generated a comprehensive resource of the molecular networks that enrich our understanding of the fundamental pathways regulating coleoptile senescence in rice.
2022-07-21 | GSE199238 | GEO
Project description:Purpose: To understand the transcriptional changes during coleoptile senescence, transcriptome libraries were constructed from control and senescence tissues and subjected to Illumina sequencing. Methods: Rice seeds were surface sterilized and submerged for seven days in sterile water. The seeds with coleoptile was transferred to aerobic condition. Senescence progression was monitored and tissues of un-senesced and senesced coleoptiles were harvested. Total RNA was isolated from the harvested tissues. mRNA libraries were generated and sequenced as 101 bp paired-end reads by using Illumina Hiseq 4000. Results: Our analysis revealed that 3166 transcripts were differentially expressed in senescing coleoptile (Day 2) samples as compared to the control. Furthermore, 44 and 273 transcripts showed specific expression in control and day 2 samples, respectively. From the functional category analysis, we observed that 197, 182, 99 and 88 transcripts belonging to signalling, transcription factors, hormone signalling and transporters respectively were differentially expressed during coleoptile senescence . And 15, 12, 3, and 6 transcripts showed senescence specific expression patterns in the transporters, transcription factors, signalling and hormone signalling categories respectively. Conclusions: The present study has generated a comprehensive resource of the molecular networks that enrich our understanding of the fundamental pathways regulating coleoptile senescence in rice.
2022-07-21 | GSE199139 | GEO
Project description:Rice (Oryza sativa L.) seeds can germinate in complete absence of oxygen. Under anoxia, the rice coleoptile elongates, reaching a length greater than that of the aerobic one. In this series, we compare the transcriptome of rice coleoptiles grown under aerobic and anaerobic conditions. Lasanthi-Kudahettige, R, et. al. Plant Physiology (2007). Transcript Profiling of the Anoxic Rice Coleoptile. Keywords: stress response
2007-03-19 | GSE6908 | GEO
Project description:Transcriptome analysis of GA regulating rice coleoptile adaptation to submerged stress
| PRJNA1057120 | ENA
Project description:Two rice genotypes, M202 (intolerant) and M202(Sub1), a tolerant genotype, were submerged for 1 day and 6 day and sampled for identifying differentially expressed genes.
2013-12-15 | GSE41103 | GEO
Project description:Little is known of the consequences of genetic pyramiding of abiotic stress tolerance loci in crops. In rice (Oryza sativa L.), ANAEROBIC GERMINATION1 (AG1) encodes TREHALOSE 6-PHOSPHATE PHOSPHATASE 7 (OsTPP7) that enhances mobilization of endosperm reserves to the embryo, promoting formation of a highly elongated hollow coleoptile in seeds sown directly into shallow paddies. This trait reduces labor costs and herbicide use. SUBMERGENCE1 (SUB1) includes the ethylene-responsive transcription factor SUB1A that confers tolerance to complete submergence by dampening shoot elongation of vegetative-phase plants and enhancing regrowth upon desubmergence. As OsTPP7 and SUB1A-1 mRNAs simultaneously accumulate in shoots, we evaluated the independent contribution and interactions between these loci in rice seeded under complete submergence until the four-leaf stage (14 d). Evaluating growth, carbohydrates, and the transcriptome of shoot tissue of four near-isogenic genotypes uncovered independent and interacting effects including: (a) early enhanced coleoptile elongation by IR64(AG1); (b) precocious transition to phototrophy followed by limited elongation by IR64(SUB1); and (c) delayed phototrophy by IR64(AG1, SUB1). mRNA-sequencing highlighted time-dependent and genotype-specific regulation of mRNAs associated with energy sensing, carbohydrate catabolism, photomorphogenesis, elongation, and defense responses. Although SUB1A did not antagonize AG1 in direct seeding, seedling establishment could be negatively impacted if submergence escape does not occur before the transition to photoautotrophy, due to antithetical regulation of carbohydrate catabolism by AG1 and SUB1.
2020-07-05 | GSE136885 | GEO
Project description:In this study, we aim to present the complete transcriptome of Asian wild rice, Porteresia. We generated about 375 million high-quality reads for five different conditions (ranging from 65 to 90 million reads for each condition) using Illumina high-throughput sequencing GAII platform. We mapped the reads to Porteresia transcripts for estimation of their transcriptional activity in different tissue samples. The transcriptome dynamics was studied by comparison of gene expression during conditions. We collected different tissue samples after various treatments (control, in water; salt450, in 450 mM sodium chloride solution; salt700, in 700 mM sodium chloride solution; submergence, submerged in water; salt+submergence, submerged in 450 mM sodium chloride solution) and total RNA isolated was subjected to Illumina sequencing. The sequenced data was further filtered using NGS QC Toolkit to obtain high-quality reads. The filtered reads were mapped to Porteresia transcripts and reads per kilobase per million (RPKM) was calculated for each transcript in all the samples to measure their gene expression. Differential expression analysis was performed using DESeq software. The genes showing differential expression under various stress conditions were identified.
2013-11-05 | E-GEOD-44913 | biostudies-arrayexpress