Ontology highlight
ABSTRACT:
PROVIDER: PRJNA595390 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10679679_1.fastq.gz | Fastqsanger.gz | |||
| SRR10679679_2.fastq.gz | Fastqsanger.gz | |||
| SRR10679680_1.fastq.gz | Fastqsanger.gz | |||
| SRR10679680_2.fastq.gz | Fastqsanger.gz | |||
| SRR10679681_1.fastq.gz | Fastqsanger.gz |
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Project description:To understand the transcriptome changes during drought tolerance in maize, the drought-tolerant line Han21 and drought-sensitive line Ye478, which show substantial differences in drought tolerance at the seedling stage, were selected for this study. Using the GeneChip Maize Genome Arrays, we applied genome-wide gene expression analysis to the two genotypes under gradual drought stress and re-watering. We identified 2172 common regulated transcripts in both lines under drought stress, with 1084 common up-regulated transcripts and 1088 common down-regulated transcripts. Among the 2172 transcripts, 58 potential protein kinases and 117 potential transcription factors were identified. The potential components of the ABA signaling pathway were identified from the common regulated transcripts. We also identified 940 differentially regulated transcripts between the two lines. Among the 940 transcripts, the differential expression levels of 29 transporters and 15 cell wall-related transcripts may contribute to the different tolerances of the two lines. Additionally, we found that the drought-responsive genes in the tolerant Han21 line recovered more quickly when the seedlings were re-watered, and 311 transcripts in the tolerant Han21 line were exclusively up-regulated at the re-watering stage compared to the control and stress conditions. Our study provides a global characterization of two maize inbred lines during drought stress and re-watering and will be valuable for further study of the molecular mechanisms of drought tolerance in maize.
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Project description:Transcription profiling by array of seedlings from two maize inbred lines (Ye478 and Han21 )under drought stress, re-watering after drought, or normal watering conditions
2016-10-04 | E-GEOD-16567 | ExpressionAtlas
Project description:To understand the transcriptome changes during drought tolerance in maize, the drought-tolerant line Han21 and drought-sensitive line Ye478, which show substantial differences in drought tolerance at the seedling stage, were selected for this study. Using the GeneChip Maize Genome Arrays, we applied genome-wide gene expression analysis to the two genotypes under gradual drought stress and re-watering. We identified 2172 common regulated transcripts in both lines under drought stress, with 1084 common up-regulated transcripts and 1088 common down-regulated transcripts. Among the 2172 transcripts, 58 potential protein kinases and 117 potential transcription factors were identified. The potential components of the ABA signaling pathway were identified from the common regulated transcripts. We also identified 940 differentially regulated transcripts between the two lines. Among the 940 transcripts, the differential expression levels of 29 transporters and 15 cell wall-related transcripts may contribute to the different tolerances of the two lines. Additionally, we found that the drought-responsive genes in the tolerant Han21 line recovered more quickly when the seedlings were re-watered, and 311 transcripts in the tolerant Han21 line were exclusively up-regulated at the re-watering stage compared to the control and stress conditions. Our study provides a global characterization of two maize inbred lines during drought stress and re-watering and will be valuable for further study of the molecular mechanisms of drought tolerance in maize. In two independent experiments, we generate maize gene expression profiles during drought stress and re-watering through comparing genome-wide expression patterns of drought stress treatment and re-watering treatment by using 17,555 Affymetrix maize whole genome array.
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Project description:This was a comparative transcriptome analysis by using high throughput sequencing. To assess the effects of drought stress and NF-Y transcription factors ZmNF-YA1 and ZmNF-YB16 on maize, leaves from wild-type (W22), zmnf-ya1 (m67) mutant, wild-type (B104) and ZmNF-YB16 overexpression (OE) plants grow under well-watered and drought stress conditions were collected and RNAseq was performed. We tracked the gene expression events of inbred maize lines W22 or B104 seedlings in response to drought stress to evaluate how drought stress affects the gene expression program in maize. At the same time, we analyzed the effects of drought stress on gene expression in zmnf-ya1 and ZmNF-YB16 OE plants to investigate whether and how ZmNF-YA1 and ZmNF-YB16 confer drought stress tolerance in maize. Maize plants were grown under well-watered conditions until the V4 stage (zmnf-ya1 and W22) or V9 stage (ZmNF-YB16 OE and B104), and then half of them were exposed to drought stress treatment. Water loss in the soil and the electrolyte leakage from leaf cells were used to assess drought stress in plants. Leaves from 3-4 plants were pooled for each sample, and two replicates were used. RNA was extracted from small strips of leaf lamina excised from the first fully expanded leaf of the plants.
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Project description:Drought stress, especially during the seedling stage, seriously limits the growth and development of maize. Understanding the response of maize to drought is the first step in the breeding of tolerant genotypes. Recent advances in deep-sequencing and proteomic techniques, such as isobaric tags for relative and absolute quantitation (iTRAQ), can provide large-scale comparisons and reliable quantitative measurements. Despite previous studies on drought resistance mechanisms by which maize cope with water deficient, the link between physiological and molecular variations are largely unknown. Therefore, understanding the drought tolerance mechanisms of different maize varieties is essential for genetic manipulation and/or cross breeding in maize. Towards this goal, we used a comparative physiological and proteomics analysis approach to monitor the changes of two different drought-resistant maize varieties.
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