Drought resistance-ability responsive transcripts
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB18729 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The young panicles 2 cm length were used for expression analysis in well watered control and drought stressed treatment. The panicle samples from biological replicates of six rice varieties were obtained in three independent experiments. The expression profiles were generated using Affymetrix rice genome arrays.
2017-06-14 | GSE83378 | GEO
Project description:RNA-seq analyses of most resistance Indica Rice varieties (Oryza sativa L.) leaves tissue under water-deficit condition
| PRJEB21620 | ENA
Project description:RNA-Seq of two most resistance Indica Rice varieties (Oryza sativa L.) leaves tissue under water-deficit condition
| PRJNA359148 | ENA
Project description:Rice (Oryza sativa), the major staple food crop is being cultivated under varying ecosystems ranging from irrigated lowland to rainfed upland environments. Improvement in the rice production under drought prone unfavourable environment depends on the development of drought tolerant genotypes which needs thorough understanding of physiological and molecular events behind the tolerance mechanism. There is considerable genetic variation for drought tolerance mechanism within the cultivated gene pool. To understand the diversity of drought response, two indica rice genotypes namely, i) Apo, an up-land drought tolerant indica veriety from Philippines and ii) IR64, a popular high yielding drought susceptible genotype were selected for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under control and drought stressed conditions during vegetative phase. Keywords: Drought response
2012-05-01 | GSE5978 | GEO
Project description:Drought avoidance mechanism is one of the component mechanisms contributing for drought tolerance in which roots serves as the master keys, but poorly understood. Comparative analysis of drought stress responsive root transcriptome between drought-tolerant Nootripathu and drought-susceptible IR20 In this study, we used microarrays to dissect out drought responsive changes in roots of two contrasting rice genotypes viz., IR 20 (a shallow rooted lowland indica genotype) and Nootripathu (a deep rooted upland indica genotype) at molecular level.
2018-04-01 | GSE92883 | GEO
Project description:Crown roots differentiate from stem base in rice. In this study, we followed gene expression in stem base of two Vietnamese indica rice varieties that belong to two haplotypes defining a QTL associated with crown root number. We used microarrays to look for the gene differentially expressed in stem base of two varieties.
2018-01-31 | GSE77130 | GEO
Project description:Drought is one of the major factor that limits crop production and reduces yield. To understand the early response of plants under nearly natural conditions, pepper plants were grown in a greenhouse and drought stressed by withholding water for one week. Plants adapted to the decreasing water content of the substrate by adjustment of their osmotic potential in roots by accumulation of raffinose, glucose, galactinol and proline. In contrast in leaves levels of fructose, sucrose and also galactinol increased. Due to the water deficit cadaverine, putrescine, spermidine and spermine accumulated in leaves whereas the concentration of polyamines was reduced in roots. These polyamines are suggested to rather act as stress protectants than for osmotic adjustment. To understand the molecular basis of the response to this early drought stress better, four suppression subtractive hybridisation libraries from leaves and roots were constructed. Microarray technique was used to identify differentially expressed genes. A total of 109 unique ESTs were detected. The diversity of the putative functions of all identified genes confirms the complexity of the plant response to drought stress. Keywords: Transcription profiling Two-condition experiment in roots and leaves, control leaves (CL) vs. drought-stressed leaves (DL) and control roots (CR) vs. drought-stressed roots (DR). Biological replicates: 4 control (1-4), drought-stressed (1-4), independently grown and harvested. One swap replicate per array.
2010-06-20 | E-GEOD-18627 | biostudies-arrayexpress
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.
2010-12-23 | E-GEOD-26280 | biostudies-arrayexpress
Project description:RNA-seq analyses of drought-treated rice leaves were performed to screen long noncoding RNAs showing differential expression in a time-dependent manner.
2019-10-16 | GSE121303 | GEO
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.
2022-12-02 | E-MTAB-7317 | biostudies-arrayexpress