DNA Methylation Profiling of Human Colonoid Monolayers Under Repeated Submergence Injury
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PROVIDER: PRJNA740031 | ENA |
REPOSITORIES: ENA
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Project description:SNF1 RELATED PROTEIN KINASE 1 (SnRK1) is proposed as a central integrator of regulatory pathways in plant stress and energy starvation signaling. We observed in this study that the Arabidopsis SnRK1.1 dominant negative mutant (SnRK1.1K48M) had lower tolerance to submergence than the wild-type, suggesting that SnRK1.1-dependent phosphorylation of target proteins is important in energy starvation signaling triggered by submergence. To gain further insight into submergence signaling mechanisms, we determined the temporal response to energy starvation through AMP/ATP quantification and used quantitative phosphoproteomics to compare the global changes in phosphopeptides in Col-0 and SnRK1.1K48M. We found that the phosphorylation levels of 59 peptides increased and the levels of 96 peptides decreased in Col-0 within 0.5�� h of submergence. Among the 59 peptides with increased phosphorylation in Col-0, 49 did not show increased phosphorylation levels in SnRK1.1K48M under submergence. These proteins are involved in sugar synthesis, glycolysis, osmotic regulation, ABA signaling, protein synthesis and ROS signaling. In particular, the phosphorylation of MAPK6, which is involved in regulating ROS responses under different abiotic stresses, was disrupted in the SnRK1.1K48M mutant. In addition, PTP1, a negative regulator of MAPK6 activity that directly dephosphorylates MAPK6, was also regulated by SnRK1.1. These results reveal insights into the function of SnRK1 and the downstream signaling factors of submergence.
2016-04-07 | PXD002353 | Pride
Project description:SNF1 RELATED PROTEIN KINASE 1 (SnRK1) is proposed as a central integrator of regulatory pathways in plant stress and energy starvation signaling. We observed in this study that the Arabidopsis SnRK1.1 dominant negative mutant (SnRK1.1K48M) had lower tolerance to submergence than the wild-type, suggesting that SnRK1.1-dependent phosphorylation of target proteins is important in energy starvation signaling triggered by submergence. To gain further insight into submergence signaling mechanisms, we determined the temporal response to energy starvation through AMP/ATP quantification and used quantitative phosphoproteomics to compare the global changes in phosphopeptides in Col-0 and SnRK1.1K48M. We found that the phosphorylation levels of 59 peptides increased and the levels of 96 peptides decreased in Col-0 within 0.5–3 h of submergence. Among the 59 peptides with increased phosphorylation in Col-0, 49 did not show increased phosphorylation levels in SnRK1.1K48M under submergence. These proteins are involved in sugar synthesis, glycolysis, osmotic regulation, ABA signaling, protein synthesis and ROS signaling. In particular, the phosphorylation of MAPK6, which is involved in regulating ROS responses under different abiotic stresses, was disrupted in the SnRK1.1K48M mutant. In addition, PTP1, a negative regulator of MAPK6 activity that directly dephosphorylates MAPK6, was also regulated by SnRK1.1. These results reveal insights into the function of SnRK1 and the downstream signaling factors of submergence.
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2007-11-24 | GSE6362 | GEO
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2010-12-01 | GSE23574 | GEO
Project description:Analysis of the impact of plant growth regulators on submergence tolerance of rice at gene expression level. The hypothesis tested in the present study was that the submergence-tolerance was improved by foliar application of paclobutrazol under sumergence stress conditions.
2017-10-12 | GSE104035 | GEO
Project description:General translational repression is predicted as a key process to reduce energy consumption under hypoxia. We have previously showed that mRNA loading onto polysome is reduced in Arabidopsis under submergence. Here, we showed that plant stress activated GCN2 (general control nonderepressible 2) can phosphorylate eIF2a (Eukaryotic Initiation Factor 2a) in Arabidopsis under submergence, and this process is reversible after desubmergence. Compared to the wild-type, the reduction in polysome loading during submergence was less severe in the gcn2 mutant. Transgenic lines overexpressing GCN2 had more ATP and conferred better tolerance under submergence, suggesting that GCN2 might modulate the dynamics of translation to adjust the energy homeostasis under hypoxia. Interestingly, GCN2-eIF2a signaling was activated by ethylene under submergence. However, GCN2 activity was not affected in ein2-5 and eil1ein3 under submergence, suggesting that GCN2 activity was regulated by noncanonical ethylene signaling. In addition, the polysome loading was retained in both ein2-5 and etr1-1 under submergence, implying that ethylene modulated the dynamic translation under submergence via EIN2 and GCN2. Notably, our NGS analysis also demonstrated that EIN2 and GCN2 regulated the translation of 23 core hypoxia genes as well as 53% translational repressed genes under submergence. On the other hand, EIN2 and GCN2 also affected the expression of genes involved in hypoxic response, ethylene response, biotic stress and negative regulation of cytokinin signaling. Taken together, these demonstrated that entrapped ethylene triggers GCN2 and EIN2 to ensure the translation of stress required proteins under submergence and also provide a step stone for future investigation how eukaryotic cells modulate the translation to response for the changeable environments.
2022-06-08 | GSE149414 | GEO
Project description:An indica rice cultivar FR13A, is widely grown as submergence tolerant variety and can withstand submergence up to two weeks. The tolerance is governed by a major QTL on chromosome 9 and represented as sub1. Recently the gene for sub1 has been mapped and cloned. However, the trait is governed by several QTLs and not by a single gene. To understand the mechanism of submergence tolerance we selected, two indica rice genotypes namely, I) FR13A, a tolerant indica variety and ii) IR24, a susceptible genotype 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 constitutive and submerged conditions at seedling stage. SUBMITTER_CITATION: Combining In Silico Mapping and Arraying: an Approach to Identifying Common Candidate Genes for Submergence Tolerance and Resistance to Bacterial Leaf Blight in Rice. Mol. Cells 2007 24:394-408. Experiment Overall Design: We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during submergence treatment. We used two contrasting rice genotypes (FR13A tolerant and IR24 susceptible) differing in submergence response. Plants were grown in growth chambers and treated by submerging the plants in transparent polythene bags on14th DAS. Leaf sampling was done in both constitutive and treated plants at 3 time points. Two replications of microarray experiments were carried out by hybridizing the RNA from tolerant samples against the susceptible lines.
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Project description:To identify direct targets of WRKY22, we created a transgenic Arabidopsis line that expresses a c-myc epitope-tagged WRKY22 and used ChIP followed by microarray hybridization (ChIP-chip) to screen for candidates and validate the in vivo protein-DNA interactions with ChIP followed by quantitative PCR (ChIP-Q-PCR). The WRKY22 and c-myc epitope tag fusion construct was generated and transformed into wrky22-ko2 plants. The resulting transgenic lines should have better ChIP efficiency than the wild-type background, due to the reduced competition for WRKY22 binding sites from endogenous WRKY22. ChIP-enriched DNA fragments were identified using criteria of a window of +300 to M-oM-<M-1200 of a gene for a promoter, a width of 4 probes or more, and a false discovery rate (FDR) < 0.1. The ChIP-chip experiments were repeated six times, i.e., six biological replicas. Candidates were defined by the presence of the promoter in three out of six biological replicas. Candidates were then classified based on their hypoxic responsiveness with a positive response defined as gene expression levels exhibiting > 2 or < 0.5-fold induction in any time point under submergence treatments in expression array data. Comparison of c-myc tagged WRKY22 transgenic plants vs wild-type (Columbia) plants. Both materials were submergence treated for 3 hours.
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