Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of drought treated P.euphratica

ABSTRACT: Plantlets of P. euphratica (clone B2) were obtained by in vitro culture. After ex vitro acclimation, they were transferred and acclimated to greenhouse conditions and transplanted into 7.5L-pot filled with peat-sand mix (50/50 V/V) and were pruned (following some leaf shedding due to transplantation shock). In the greenhouse, climate conditions depended on outside weather but temperature was regulated in order to remain between 15 and 30°C. A moderate, increasing drought stress was applied and controlled for 6 weeks. Soil volumetric water content was measured one to two times a day depending on the intensity of the stress (TDR and weighting). Plantlets were progressively brought to 5 stress levels [soil volumetric water content]: 10% (harvest 1, 11 days from start of experiment), 7.5% (harvest 2, 16 days from start of experiment), 5% (harvest 3, 22 days from start of experiment), 4% (harvest 4, 26-32 days from start of experiment) and back to fully available water (harvest 5, 10 days after fully watering of the trees; 36 days from start of experiment). Leaves and roots (including control and stressed trees) were harvested for each stress level. At harvest 1-3, samples from five trees were harvested. At harvest 4, samples from two trees were harvested at each of day 26, 29 and 32. At harvest 5, samples were harvested from two control trees and four re-watered trees.

For the array experiment: leaf or root samples were pooled before RNA isolation to give three repeats by dividing the five samples 2+2+1. For harvest 4; samples were pooled from each of the two trees sampled at day 26, 29 and 32 to give three biological repeats. In harvest 5 samples were pooled 2+2 to give two biological repeats. Each array experiment was done with a dye swap to give 28 hybridizations for the leaf and 28 hybridizations for the root experiment.

ORGANISM(S): Populus euphratica

SUBMITTER: Mikael Brosche

PROVIDER: E-MEXP-276 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gradual soil water depletion results in reversible changes of gene expression, protein profiles, ecophysiology, and growth performance in Populus euphratica, a poplar growing in arid regions.

Bogeat-Triboulot Marie-Béatrice MB Brosché Mikael M Renaut Jenny J Jouve Laurent L Le Thiec Didier D Fayyaz Payam P Vinocur Basia B Witters Erwin E Laukens Kris K Teichmann Thomas T Altman Arie A Hausman Jean-François JF Polle Andrea A Kangasjärvi Jaakko J Dreyer Erwin E

Plant physiology 20061208 2

The responses of Populus euphratica Oliv. plants to soil water deficit were assessed by analyzing gene expression, protein profiles, and several plant performance criteria to understand the acclimation of plants to soil water deficit. Young, vegetatively propagated plants originating from an arid, saline field site were submitted to a gradually increasing water deficit for 4 weeks in a greenhouse and were allowed to recover for 10 d after full reirrigation. Time-dependent changes and intensity o ...[more]

PMID: 17158588

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Project description:Considering global climate changes, incidences of combined drought and heat stress are likely to increase in the future and will considerably influence plant-pathogen interactions. Until now, little is known about plants exposed to simultaneously occurring abiotic and biotic stresses. To shed some light on molecular plant responses to multiple stress factors, a versatile multi-factorial test system, allowing simultaneous application of heat, drought and virus stress, was developed. Comparative analysis of single, double and triple stress responses by transcriptome and metabolome analysis revealed that gene expression under multi-factorial stress is not predictable from single stress treatments. Hierarchical cluster and principal component analysis identified heat as the major stress factor clearly separating heat-stressed from non-heat stressed plants. We identified 11 genes differentially regulated in all stress combinations as well as 23 genes specifically-regulated under triple stress. Furthermore, we showed that virus treated plants displayed enhanced expression of defense genes, which was abolished in plants additionally subjected to heat and drought stress. Triple stress also reduced expression of genes involved in the R-mediated disease response and increased the cytoplasmic protein response which was not seen under single stress conditions. These observations suggested that abiotic stress factors significantly altered TuMV-specific signaling networks which lead to a deactivation of defense responses and a higher susceptibility of plants. Collectively, our transcriptome and metabolome data provide a powerful resource to study plant responses during multi-factorial stress and allows identifying metabolic processes and functional networks involved in tripartite interactions of plants with their environment. Stress induced gene expression in Arabidopsis leaves was measured after exposure to single and combined abiotic and biotic stress. Plants were grown on soil for 21 days till virus infection. Eight days later controlled drought stress was applied. At the end of the treatments heat was applied for three days. Four biological replicates have been hybridized for each treatment. Furthermore, Arabidopsis plants were exposed to a single severe heat stress (37Â°C day/33Â°C night) to mimic the severity of the triple stress experiment.

Project description:Considering global climate changes, incidences of combined drought and heat stress are likely to increase in the future and will considerably influence plant-pathogen interactions. Until now, little is known about plants exposed to simultaneously occurring abiotic and biotic stresses. To shed some light on molecular plant responses to multiple stress factors, a versatile multi-factorial test system, allowing simultaneous application of heat, drought and virus stress, was developed. Comparative analysis of single, double and triple stress responses by transcriptome and metabolome analysis revealed that gene expression under multi-factorial stress is not predictable from single stress treatments. Hierarchical cluster and principal component analysis identified heat as the major stress factor clearly separating heat-stressed from non-heat stressed plants. We identified 11 genes differentially regulated in all stress combinations as well as 23 genes specifically-regulated under triple stress. Furthermore, we showed that virus treated plants displayed enhanced expression of defense genes, which was abolished in plants additionally subjected to heat and drought stress. Triple stress also reduced expression of genes involved in the R-mediated disease response and increased the cytoplasmic protein response which was not seen under single stress conditions. These observations suggested that abiotic stress factors significantly altered TuMV-specific signaling networks which lead to a deactivation of defense responses and a higher susceptibility of plants. Collectively, our transcriptome and metabolome data provide a powerful resource to study plant responses during multi-factorial stress and allows identifying metabolic processes and functional networks involved in tripartite interactions of plants with their environment. Stress induced gene expression in Arabidopsis leaves was measured after exposure to single and combined abiotic and biotic stress. Plants were grown on soil for 21 days till virus infection. Eight days later controlled drought stress was applied. At the end of the treatments heat was applied for three days. In parallel, a homozougus T-DNA insertion line SALK_021115C (N672283), located in the Arabidopsis gene At5g45000 has been exposed to the same stress conditions. Four biological replicates have been hybridized for each treatment.

Dataset Information

Transcription profiling of drought treated P.euphratica

Publications

Gradual soil water depletion results in reversible changes of gene expression, protein profiles, ecophysiology, and growth performance in Populus euphratica, a poplar growing in arid regions.

Similar Datasets

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