Ontology highlight
ABSTRACT:
PROVIDER: PRJNA931112 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23329160.fastq.gz | Fastqsanger.gz | |||
| SRR23329161.fastq.gz | Fastqsanger.gz | |||
| SRR23329162.fastq.gz | Fastqsanger.gz | |||
| SRR23329163.fastq.gz | Fastqsanger.gz | |||
| SRR23329164.fastq.gz | Fastqsanger.gz |
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Project description:Transcriptional profiling of three mexican maize landraces under 10, and 17 days stress and recovery irrigation A dye balanced modified loop design was implemented. Two biological replicates (pooling five representative plants) representing each sampling point for each genotype were obtained for purified RNA from 120 randomly chosen seedlings. This experiment involved a total of forty-eight (24 sets) of microarray hybridizations, including direct and dye swap comparisons between treatments as well as across the three landraces. This design allowed us to determine differences in gene expression between the three different landraces under drought stress (10 and 17 days) and at recovery irrigation compared to irrigated controls.
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Project description:4plex_tomato_2013_03 - 4plex_tomato_2013_03 - What are the genes implied in drought resistance in tomato ? - 2 strains of tomato (Cervil, a cherry tomato, and Levovil, an large fruited tomato) were cultivated under normal hydric conditions and drought stress. Young leaves were gathered 3 1/2 months after sawing for analysis.
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Project description:We designed a time series experiment in order to better understand acclimation and avoidance responses of two different Indica rice varieties Nagina22, a drought tolerant, and Nonabokra, a saline tolerant.We generated RNA-Seq transcriptome data for treated and untreated samples, with three biological replicates, per time point for drought response, an environmental stress experiment.The data generated was analyzed by calling polymorphisms, expression levels and eventually curate gene network pathways specific to the landraces’ genetic background and tolerance level.
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Project description:4plex_tomato_2013_03 - 4plex_tomato_2013_03 - What are the genes implied in drought resistance in tomato ? - 2 strains of tomato (Cervil, a cherry tomato, and Levovil, an large fruited tomato) were cultivated under normal hydric conditions and drought stress. Young leaves were gathered 3 1/2 months after sawing for analysis. 4 dye-swap - genotype comparaison
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Project description:Background: Sorghum bicolor is a remarkably drought tolerant cereal crop. Its natural biodiversity that enables this tolerance has developed in sub-Saharan Africa. The sequencing of the sorghum genome in 2009 has expedited research of this crop which has also been proposed as a model C4 cereal crop for genomics. In this study, the genetic response mechanisms involved in sorghums’ tolerance to progressive water deficit and moderate re-watering were investigated in three previously uncharacterized South African landraces (designated: LR5, LR6 and LR35) using cDNA microarrays comprising 35 899 transcript probes. Results: Across the three landraces, significant differential expression of 1 797 genes, including 264 genes with currently unknown functions, were altered in response to progressive water stress and re-watering. The modulated sorghum genes had homology to proteins involved in growth, regulation, and protection. Gene ontology analysis identified significant enrichment of 26 genes involved in the ‘response to abiotic stimulus’ GO category in LR6 during severe stress. The expression of USP responded to progressive water stress and moderate re-watering in LR6 and LR35. Moreover, our results indicate a putative role for β-alanine betaine biosynthesis in drought tolerance of sorghum. Conclusions: This study identified the drought responsive gene complement of three previously uncharacterized South African sorghum landraces. Each landrace is a distinct genotype and similar responses to water deficit and re-watering were not expected. Functional characterizations of some of the differentially expressed genes found in this study may be used as possible targets for marker-assisted breeding or transgenic initiatives for sorghum and, other closely related crop species.
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Project description:We report here the RNAseq data generated from a drought experiment using tomato leaves (Solanum lycopersicum), in which three timepoints and two treatments were collected. More specifically, RNAseq was generated from tomato plants prior to drought (T0), during a period of drought (T1) and after a period of recovery from drought (T2). At timepoints 1 and 2 (T1 & T2), a control set of plants that were continuously watered are also included. Furthermore, at each timepoint, each leaf was dissected into two parts, including the vein and intervein. The samples are therefore named as Tissue/Timepoint/Treatment, and include VT0W (vein, T0, watered), VT1W (vein, T1, watered), VT1D (vein, T1, drought), VT2D, VT2W and IVT0W (intervein, T0, Watered), IVT1D, IVT1W, IVT2D, IVT2W. Note that VT2D and IVT2D, while named "drought", were actually recovered from drought.
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