Ontology highlight
ABSTRACT:
PROVIDER: PRJNA750237 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15275534_1.fastq.gz | Fastqsanger.gz | |||
| SRR15275534_2.fastq.gz | Fastqsanger.gz | |||
| SRR15275535_1.fastq.gz | Fastqsanger.gz | |||
| SRR15275535_2.fastq.gz | Fastqsanger.gz | |||
| SRR15275536_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The goals of this study are to compare differentially expressed transcripts in leaves of watermelon during drought stress using transcriptome profiling (RNA-seq)
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Project description:Drought stress imposes severe challenges on agriculture by impacting crop performance. Understanding drought responses in plants at a cellular level is a crucial first step towards engineering improved drought resilience. The molecular responses to drought are however very complex as they depend on multiple factors including the severity of drought, the profiled organ, its developmental stage and even the cell types therein. As such, deciphering the transcriptional responses to drought is specifically challenging.In the study associated with this data submission, we investigated tissue-specific responses to mild drought in young Arabidopsis thaliana (Arabidopsis) leaves using single-cell RNA sequencing (scRNA-seq, deposited under another id, GSE273033). To preserve transcriptional integrity during cell isolation, we fixed the RNA prior to cell isolation using the transcription inhibitor actinomycin D, demonstrating the benefits of fixation for studying mild stress responses at single-cell level. The transcriptome data deposited here corresponds to the bulk RNA-sequencing experiments described in this study. The samples presented here are undigested leaves, leaves digested by cell wall degradation without fixation, and leaves digested by cell wall degradation with RNA fixation. All sample types were collected from plants growing under well-watered and mild drought conditions.
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Project description:To dissect the molecular mechanisms underlying drought tolerance (DT) in rice, transcriptome differences of a DT introgression line H471, the DT donor P28 and the drought sensitive recurrent parent HHZ under drought stress were investigated using deep transcriptome sequencing. Results revealed a differential constitutive gene expression prior to stress and distinct global transcriptome reprogramming among three genotypes under time-series drought stress, consistent with their differential genotypes and DT phenotypes. DT introgression line H471, the DT donor P28 and the drought sensitive recurrent parent HHZ under drought stress were investigated using deep transcriptome sequencing.The drought stress treatment was started by withholding water at the tillering stage. The days were counted after the AWC in the soil reached 20% to allow drought measurements at precisely determined intervals, and the soil water content reached 15%, 10% and 7.5% after 1d, 3d and 4d drought treatment, respectively.Three top leaves for each sample were harvested for each genotype under 1d and 3d drought stress and control conditions. All samples were immediately frozen in liquid nitrogen and stored at -80C and then for transcriptome sequencing.
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Project description:We have characterized the changes in miRNA expression profiles in rice leaves under drought stress and As stress and compared these to unstressed leaves. 10 pairs of drought responsive and 8 pairs of As responsive miRNA-gene were identified and validated by qRT-PCR. This study identifies putative specific miRNA-mRNA regulatory modules with roles during drought and As stress. Putative microRNAs identified in this study are involved in hormone signaling, lipid and carbohydrate metabolism, and antioxidant defence. The results of this study will assist in elucidating the role of miRNAs in post-transcriptional regulation of target genes during abiotic stress and may contribute to the development of strategies to engineer drought and heavy metal resistance.
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Project description:Rice is highly sensitive to drought, and the effect of drought may vary with the different genotypes and development stages. Genome-wide gene expression profiling was used as the initial point to dissect molecular genetic mechanism of this complex trait and provide valuable information for the improvement of drought tolerance in rice. Affymetrix rice genome array containing 48,564 japonica and 1,260 indica sequences was used to analyze the gene expression pattern of rice exposed to drought stress. The transcriptome from leaf, root, and young panicle at three developmental stages was comparatively analyzed combined with bioinformatics exploring drought stress related cis-elements. In this study, the gene expression patterns across six tissues including leaves and roots at tillering stage and panicle elongation stage, leaves and young panicle at booting stage ( TL: leaves at tillering stage; TR: roots at tillering stage; PL: leaves at panicle elongation stage; PR: roots at panicle elongation stage; BP: young panicle at booting stage; BL: leaves at booting stage) were characterized by using the Affymetrix rice microarray platform based on a drought tolerant rice line derived from IR64.
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