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ABSTRACT:
PROVIDER: PRJNA750237 | ENA |
REPOSITORIES: ENA
Similar Datasets
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)
2020-05-21 | GSE144814 | GEO
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.
2014-12-30 | E-GEOD-57950 | biostudies-arrayexpress
Project description:Sophora davidii Genome sequencing and assembly
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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.
2010-12-23 | E-GEOD-26280 | biostudies-arrayexpress
Project description:Cassava is a drought–resistant food crop in tropical and subtropical regions. Although cassava is a relatively drought-tolerant species, the development and yields are greatly affected by the adverse drought conditions. Information about molecular breeding will obtain by studying genetic regulatory mechanism. In this study, we demonstrate the drought-tolerant mechanisms in leaves of both cassava varieties(Xinxuan048 and KU50) by using RNA-Seq technique. 1,880 and 2,066 differentially expressed genes(DEGs) were induced by drought stress in leaves of KU50 and Xinxuan048, respectively. DEGs in the response to drought stress involve in many regulated pathways. ROS- and ABA-associated signaling pathways and photosynthesis-associated regulation are mainly elucidated. In addition, alternative splicing and ingle nucleotide polymorphism also involve in drought-stress responses in both cassava varieties, showing their important roles in response to drought stress in leaves. This study not only increases the understanding of physiological and molecular mechanisms to the drought response in cassava, but also lays a solid foundation on the breeding of drought-resistant varieties using molecular methods.
2018-07-01 | GSE98537 | GEO
Project description:With frequent fluctuations in global climate, plants often experience co-occurring dry-wet cycles and pathogen infection and this combination adversely affects plant survival. In the past, some studies indicated that morpho-physiological responses of plants to the combined stress are different from the individual stressed plants. However, interaction of drought stressed or drought recovered plants with pathogen has not been widely studied at molecular level. Such studies are important to understand the defense pathways that operate as part of combined stress tolerance mechanism. In this study, Arabidopsis plants were exposed to individual drought stress (soil drying at 40% FC, D), Pseudomonas syringae pv tomato DC3000 (PStDC3000), infection and their combination. Plants recovered from drought stress were also exposed to PStDC3000. Beside we have also infiltrated P. syringae pv tabaci (PSta, non-host pathogen) individually or in combination with drought stress. Using Affymetrix WT gene 1.0 ST array, global transcriptome profiling of plants leaves under individual drought stress and pathogen infection was compared with their combination. Results implicate that plants exposed to combined drought and pathogen stress experience a new state of stress where each combination of stressor and their timing defines the plant responses and thus should be studied explicitly. Global transcriptional analysis in Arabidopsis leaves exposed to individual and combined drought and pathogen stress.
2017-02-11 | GSE79681 | GEO
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.
2019-09-21 | GSE137780 | GEO