Project description:Drought stress is a major problem around the world and although progress in understanding how vegetable crops and model plants adapt to drought have been made, there is still little information about how fruit crops deal with moderate drought stress. In this study, we investigated the response of two apple genotypes: a drought-sensitive genotype (M26) and a drought-tolerant genotype (MBB). Our results of the morphology, physiology and biochemistry under moderate drought stress, indicated that relative water content (RWC) and leaf area (LA) were not significant changes in two genotypes. However, it had larger leaf mass per area (LMA), and accumulated higher free proline (CFP), soluble sugars (CSS) and malonaldehyde (MDA) in the leaves. Thus, it appears that the MBB genotype could produce more osmosis-regulating substances. Phosphoproteomic was analyzed from leaves of both genotypes under moderate drought stress using the isobaric tags for relative and absolute quantification (iTRAQ) technology. A total of 595 unique phosphopeptides, 682 phosphorylated sites and 446 phosphoproteins were quantitatively analyzed in the two genotypes. Motif analyses of the phosphorylation sites showed that six motifs including [PxsP], [sP], [sD], [Rxxs], [sxP] and [sxs] were enriched. We identified 12 and 48 PLSC phosphoproteins in M26 and MBB, respectively. Among these, 9 PLSC phosphoproteins were common to both genotypes, perhaps indicating a partial overlaps of the mechanisms to moderate drought stress. Gene ontology analyses revealed that the PLSC phosphoproteins present a unique combination of metabolism, transcription, translation and protein processing, suggesting that the response in apple to moderate drought stress encompasses a new homeostasis of major cellular processes. The basic trend was an increase in protein abundance related to drought and organic substance upon moderate drought stress between two genotypes. These increases were higher in the drought-tolerant genotype (MBB) than in the drought-sensitive genotype (M26). The 23 differentially expressed mRNA encoding phosphoproteins were analysis by quantitative real-time PCR (qRT-PCR). Our study is the first to address the phosphoproteome of a major fruit crop, apple rootstocks, in response to moderate drought stress, and provide insights into the molecular regulation mechanisms of apple rootstock under moderate drought stress.

Project description:Purpose: Water stress limits plant survival and production in many parts of the world. Identification of genes and alleles responding to water stress conditions is important in breeding plants better adapted to drought. Currently there are no studies examining the transcriptome wide gene and allelic expression patterns under water stress conditions. We used RNA sequencing (RNA-seq) to identify the candidate genes and alleles and to explore the evolutionary signatures of selection Methods: We studied the effect of water stress on gene expression in Eucalyptus camaldulensis seedlings derived from three natural populations. We used reference-guided transcriptome mapping to study gene expression. Reads mapping to predicted transcripts were analysed with edgeR pacakge to study differntial expression of genes under control and water-stress conditions. SNPs within the genes were obtained using pileup file generated with samtools and the SNP frequencies were analysed with VarScan package. SNPs were further characterised as sysnonymous and non-synonymous using popoolation2 pacakge. Results: Several genes showed differential expression between control and stress conditions. Gene ontology (GO) enrichment tests revealed up-regulation of 140 stress-related gene categories and down-regulation of 35 metabolic and cell wall organisation gene categories. More than 190,000 single nucleotide polymorphisms (SNPs) were detected and 2737 of these showed differential allelic expression. Allelic expression of 52% of these variants was correlated with total gene expression. Signatures of selection patterns were studied by estimating the proportion of nonsynonymous to synonymous substitution rates (Ka/Ks). The average Ka/Ks ratio among the 13,719 genes was 0.39 indicating that most of the genes are under purifying selection. Among the positively selected genes (Ka/Ks > 1.5) apoptosis and cell death categories were enriched. Of the positively selected genes, ninety genes showed differential expression and 27 SNPs from 17 positively selected genes showed differential allelic expression between treatments. Conclusions: Correlation of allelic expression of several SNPs with total gene expression indicates that these variants may be the cis-acting variants or in linkage disequilibrium with such variants. Enrichment of apoptosis and cell death gene categories among the positively selected genes reveals the past selection pressures experienced by the populations used in this study. Leaf mRNA of 12 samples were used to study the gene expression under control and water-stress conditions. Three samples under water-stress conditions and three samples under control conditions were used as biological replicates for differenctial gene expression between the treatments. High-throughput sequence reads from mRNA samples were generated by deep sequencing with Illumina GAIIx.

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. Four biological replicates have been hybridized for each treatment.

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

Transcriptome profile for leaves of rice plants subjected to severe reproductive stage drought stress

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