Ontology highlight
ABSTRACT:
PROVIDER: PRJNA807465 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21992424_1.fastq.gz | Fastqsanger.gz | |||
| SRR21992424_2.fastq.gz | Fastqsanger.gz | |||
| SRR21992425_1.fastq.gz | Fastqsanger.gz | |||
| SRR21992425_2.fastq.gz | Fastqsanger.gz | |||
| SRR21992426_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 36 |
Similar Datasets
Project description:Transcriptional profiling of sweet corn response to plant density (crowding stress). Determine the extent to which hybrid and environment influences crowding stress response and identify crowding stress transcriptional response in sweet corn
2021-06-01 | GSE72434 | GEO
Project description:Transcriptional profiling of sweet corn plant density (crowding stress) tolerance influencing yield. Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The experiment was conducted to 1) explore transcriptional changes among sweet corn hybrids with differential yield under crowding stress, 2) identify relationships between phenotypic responses and gene expression patterns, and 3) identify groups of genes associated with yield and crowding stress tolerance. Under conditions of crowding stress, three high-yielding and three low-yielding sweet corn hybrids were grouped for transcriptional and phenotypic analyses. Transcriptional analyses identified from 372 to 859 common differentially expressed genes (DEGs) for each hybrid. Large gene expression pattern variation among hybrids and only 26 common DEGs across all hybrid comparisons were identified, suggesting each hybrid has a unique response to crowding stress. Over-represented biological functions of DEGs also differed among hybrids. Strong correlation was observed between: 1) modules with up-regulation in high-yielding hybrids and yield traits, and 2) modules with up-regulation in low-yielding hybrids and plant/ear traits. Modules linked with yield traits may be important crowding stress response mechanisms influencing crop yield. Functional analysis of the modules and common DEGs identified candidate crowding stress tolerant processes in photosynthesis, glycolysis, cell wall, carbohydrate/nitrogen metabolic process, chromatin, and transcription regulation. Moreover, these biological functions were greatly inter-connected, indicating the importance of improving the mechanisms as a network.
2016-01-05 | GSE73435 | GEO
Project description:Transcriptional profiling of sweet corn plant density (crowding stress) tolerance influencing yield. Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The experiment was conducted to 1) explore transcriptional changes among sweet corn hybrids with differential yield under crowding stress, 2) identify relationships between phenotypic responses and gene expression patterns, and 3) identify groups of genes associated with yield and crowding stress tolerance. Under conditions of crowding stress, three high-yielding and three low-yielding sweet corn hybrids were grouped for transcriptional and phenotypic analyses. Transcriptional analyses identified from 372 to 859 common differentially expressed genes (DEGs) for each hybrid. Large gene expression pattern variation among hybrids and only 26 common DEGs across all hybrid comparisons were identified, suggesting each hybrid has a unique response to crowding stress. Over-represented biological functions of DEGs also differed among hybrids. Strong correlation was observed between: 1) modules with up-regulation in high-yielding hybrids and yield traits, and 2) modules with up-regulation in low-yielding hybrids and plant/ear traits. Modules linked with yield traits may be important crowding stress response mechanisms influencing crop yield. Functional analysis of the modules and common DEGs identified candidate crowding stress tolerant processes in photosynthesis, glycolysis, cell wall, carbohydrate/nitrogen metabolic process, chromatin, and transcription regulation. Moreover, these biological functions were greatly inter-connected, indicating the importance of improving the mechanisms as a network. 3 high-and 3 low-yielding hybrids with 2-3 biological replications grown under high population density (crowding stress)
2016-01-05 | E-GEOD-73435 | biostudies-arrayexpress
Project description:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs in leaves and flowers of sweet orange. Consequently we identified genome-wide 183 known miRNAs and 38 novel miRNAs. Small RNA sequencing of the leaves and flowers in sweet orange
2014-10-21 | E-GEOD-46747 | biostudies-arrayexpress
Project description:To determine which of the genes differentially expressed between P1-rr and P1-ww pericarps were immediate (direct) targets of P1, we conducted chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-Seq) using P1 polyclonal antibodies (alphaP1344) that recognize the non-conserved C-terminal region of P1 (Falcone Ferreyra et al., 2010), on pericarp chromatin. Comparison of pericarp chromatin inmunoprecipitated material P-rr_14DAP (P1 expressed) vs P-ww_14DAP (P1 not expressed) to determine P1 direct targets
2012-09-14 | E-GEOD-38587 | biostudies-arrayexpress
Project description:P1 is the major QTL for maysin and chlorogenic acid accumulation in silk. Both compounds were important for plant defenses. Silk is an important reproductive organ that is critical for good seed setting in corn ear and needs to be protected against various stresses, therefore, metabolics compounds (ex: phenolics) were highly enriched in silk. Here we characterize transcriptome changes in maize protoplast, and natural variants of P1 silks, and pericards to characterize the regulatory landscape. Also we evaluated profiles of silk in B73 x A632 hybrids in order to cis and trans specific effect driven by P1 in maize. Our study identifies new P1 targets in the silk and protoplast. Together with the RNA-seq data (P1-rr vs P1-ww in silk and pericarp and protoplast 35S:P1 vs empty vector control), we observed new P1 functions in silk that were not observed in pericarp. Also, Protoplast and silk ChIP-seq in F1 silk, as well as DAP-seq analysis of P1 - shows specific P1 targets with highlight cis and trans effect on the F1 hybrids.
2023-12-01 | GSE224196 | GEO
Project description:Salt stress has become one of the main abiotic stress factors restricting agricultural production worldwide. Sweet sorghum is an important salt and drought tolerant feed and energy crop. Its salt tolerance mechanism has not been widely studied. With the development of transcriptome sequencing technology, it is possible to study the molecular mechanism of sweet sorghum salt tolerance. The purpose of this study was to further reveal the potential salt-tolerant molecular mechanisms of sweet sorghum through high-throughput sequencing analysis of the transcriptome. Finally, through high-throughput sequencing, we read approximately 54.4G of raw base and 53.7G of clean base in total, and used FastQC to assign a quality score (Q) to each base in the read using a similar phred algorithm, Analysis shows that the data is highly credible. We conclude that RNA-based transcriptome characterization will accelerate the study of genetics and molecular biology of sweet sorghum salt tolerance mechanisms and provide a framework for this.
2020-03-19 | GSE145748 | GEO