Ontology highlight
ABSTRACT:
PROVIDER: PRJNA662522 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12615900.fastq.gz | Fastqsanger.gz | |||
| SRR12616000.fastq.gz | Fastqsanger.gz | |||
| SRR12616100.fastq.gz | Fastqsanger.gz | |||
| SRR12615901.fastq.gz | Fastqsanger.gz | |||
| SRR12616001.fastq.gz | Fastqsanger.gz |
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Project description:Grapes are a valuable fruit and an important economic crop in the world, where wine production is a major industry. Drought, salinity and extreme temperatures are abiotic stresses that can trigger significant complex responses in grapevines. This project investigates plant protein reactions in response to abiotic stresses, with particular reference to proteomic changes induced by the impact of hot and cold temperature stress on cultured Cabernet sauvignon cells. The aim of this quantitative label-free shotgun proteomics experiment is to provide insights into the targeted proteins, metabolic pathways and regulatory networks that are related to temperature stress in grapevine and futuristically assist in marker assisted selection.
2015-05-27 | PXD000977 | Pride
Project description:The goal of this project aims to decipher the molecular effects of high temperature on developing Cabernet Sauvignon berries. Using grapevine fruiting cuttings, control and heat-treated berries were sampled to conduct transcriptomic, proteomic and metabolomic analysis.
2020-01-29 | PXD014693 | Pride
Project description:Transcriptional changes occurring at the graft interface of auto- (Cabernet Sauvignon/ Cabernet Sauvignon) and hetero-grafted (Cabernet Sauvignon/ Riparia Gloire de Montpellier and Cabernet Sauvignon /1103 Paulsen) grapevine. Gene expression profiling was done using the Nimblegen whole genome array with 3 biological replicates of 15 pooled graft interfaces harvested 3, 7, 14 and 28 d after grafting.
2014-04-09 | E-MTAB-1610 | biostudies-arrayexpress
Project description:High temperature effect on Cabernet Sauvignon berries
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Project description:The analysis of the genes differentially expressed in the rootstock and the callus 3 and 28 d after grafting in grapevine (Vitis vinifera cv Cabernet Sauvignon) auto-grafts.
2013-05-31 | E-MEXP-3803 | biostudies-arrayexpress
Project description:The experiment was conducted using four 11-year-old potted grapevines of V. vinifera L. cv. Cabernet Sauvignon grafted on SO4 (Selection Oppenheim No. 4) grown in a phytotron. Vines were trained on a Guyot trellising system and each vine carried 4-10 clusters of grapes. The experiment started approximately 1 week before veraison, when berry softening started, and continued to fruit maturity. The two temperature regimes consisted of a high day (06.00–20.00 h) temperature (max.35C) and a control (max. 25C). Under both conditions, the night-time (20.00–06.00 h) temperature was 20C. PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Kentaro Mori. The equivalent experiment is VV9 at PLEXdb
2011-08-26 | GSE31675 | GEO
Project description:Purpose: Brassica. juncea is vulnerable to abiotic stresses at specific stages in its life cycle. However, till date no attempts have been made to elucidate the genome-wide changes in the transcriptome of B. juncea subjected to either high temperature or drought stress. Hence, to gain global insights into genes, transcription factors and kinases regulated by these stresses and to provide basic information on coding transcripts that are associated with traits of agronomic importance, we utilized a combinatorial approach of next generation sequencing and de novo assembly to discover B. juncea transcriptome associated with high temperature and drought. Results: We constructed and sequenced three transcriptome libraries namely Brassica control (BC), Brassica high temperature stress (BHS) and Brassica drought stress (BDS) from control, high temperature treated and drought treated seedlings of Brassica juncea. More than 180 million purity filtered reads were generated which were processed through quality parameters and high quality reads were assembled de-novo using SOAPde-novo assembler. A total of 77750 unique transcripts were identified out of which 69,245 (89%) were annotated with high confidence. We established a subset of 19110 transcripts, which were differentially regulated by either high temperature and/or drought stress. Furthermore, 886 and 2834 transcripts that code for transcription factors and kinases, respectively, were also identified. Investigation of identified transcription factors revealed that 92 responded to high temperature, 72 exhibited alterations in expression during drought stress, and 60 were commonly associated with both the stresses. Similarly, 217, 259 and 193 kinases were responsive to high temperature, drought or both stresses, respectively. Maximum number of up-regulated transcription factors in high temperature and drought stress belonged to heat shock factors (HSFs) and dehydration responsive element-binding (DREB) families respectively. We also identified 239 metabolic pathways, which were perturbed during high temperature and drought treatments. Analysis of gene ontologies associated with differentially regulated genes forecasted their involvement in diverse biological processes. Conclusions: Our study provides first comprehensive discovery of B. juncea transcriptome under high temperature and drought stress conditions. Transcriptome resources generated in this study will enhance our understanding on the molecular mechanisms involved in defining the response of B. juncea against two important abiotic stresses. Furthermore this information would benefit designing of efficient crop improvement strategies for tolerance against conditions of high temperature regimes and water scarcity.
2015-08-28 | GSE64242 | GEO
Project description:Potato plants are sensitive to multiple abiotic stresses such as drought, low temperature and high light. We analyzed the transcriptome of WT potato plants as well as that of transgenic potato plants expressing the Arabidopsis stress related transcription factor CBF1 that confers tolerance to multiple stresses. Wild type and AtCBF1OX transgenic potato plants were exposed to low temperature, high light, drought or kept under control conditions as described below in detail, and transcriptional changes induced by the different stresses were analyzed.
2015-03-01 | E-GEOD-61004 | biostudies-arrayexpress
Project description:The experiment was conducted using four 11-year-old potted grapevines of V. vinifera L. cv. Cabernet Sauvignon grafted on SO4 (Selection Oppenheim No. 4) grown in a phytotron. Vines were trained on a Guyot trellising system and each vine carried 4-10 clusters of grapes. The experiment started approximately 1 week before veraison, when berry softening started, and continued to fruit maturity. The two temperature regimes consisted of a high day (06.00–20.00 h) temperature (max.35C) and a control (max. 25C). Under both conditions, the night-time (20.00–06.00 h) temperature was 20C. PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Kentaro Mori. The equivalent experiment is VV9 at PLEXdb developmental stage: 2 weeks - temperature: High (2-replications); developmental stage: 2 weeks - temperature: Control(2-replications); developmental stage: 4 weeks - temperature: High (2-replications); developmental stage: 4 weeks - temperature: Control(2-replications); developmental stage: 6 weeks - temperature: High (2-replications); developmental stage: 6 weeks - temperature: Control(2-replications)
2011-08-25 | E-GEOD-31675 | biostudies-arrayexpress
Project description:Background: Grapevine is a major food crop that is affected by global climate change. Consistent with field studies, dehydration assays of grapevine leaves can reveal valuable information of the plant’s response at physiological, transcript, and protein levels. There are well-known differences in grapevine rootstocks responses to dehydration. We used time-series transcriptomic approaches combined with network analyses to elucidate and identify important physiological processes and network hubs that respond to dehydration in three different grapevine species differing in their drought tolerance. Results: Transcriptomic analyses of the leaves of Cabernet Sauvignon, Riparia Gloire, and Ramsey were evaluated at different times during a 24-h controlled dehydration. ANOVA revealed that 11,000 transcripts changed significantly with respect to the genotype x treatment interaction term and 6,000 transcripts changed significantly according to the genotype x treatment x time interaction term indicating massive differential changes in gene expression over time. Standard analyses determined substantial effects on the transcript abundance of genes involved in the metabolism and signaling of two known plant stress hormones, ABA and ethylene. ABA and ethylene signaling maps were constructed and revealed specific changes in transcript abundance that were associated with the known drought tolerance of the genotypes including genes such as VviABI5, VviABF2, VviACS2, and VviWRKY22. Weighted-gene coexpression network analysis (WGCNA) confirmed these results. In particular, WGCNA identified 30 different modules, some of which had highly enriched gene ontology categories for photosynthesis, phenylpropanoid metabolism, ABA and ethylene signaling. The ABA signaling transcription factors, VviABI5 and VviABF2, were highly connected hubs in two modules, one having overrepresentation in gaseous transport and the other in ethylene signaling. VviABI5 was distinctly correlated with an early response and high expression for the drought tolerant Ramsey and with little response from the drought sensitive Riparia Gloire. These ABA signaling transcription factors were highly connected to VviSNRK1 and other gene hubs associated with sugar, ethylene and ABA signaling. The ABA and ethylene signaling hubs were highly connected, supporting the hypothesis that there is substantial cross-talk between the two hormone pathways. This study identifies solid gene candidates for future investigations of drought tolerance in grapevine.
2016-03-05 | GSE78920 | GEO