Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

The gene responses of the rice plant treated with both continuous simulated acid fog (pH3.0) and natural fog (pH5.6) treatments

ABSTRACT: Rice plants cultivated on mountain areas are frequently exposed to acid fog and natural fog events. In this report, we analyzed the expression profiles of the rice plant with acid fog (SiAF) or neutral fog (SiNF) treatment for 1 and 7 days. Microarray results suggested that ROS generation was induced by not only SiAF, but also SiNF treatment, and it occurred in apoplast, not in organelles. Genes for defense- and stress-responses was also induced by both SiAF and SiNF treatments. The induction occurred in plants treated with SiAF for both 1 day and 7 days, and it was also detected in plants treated with SiAF for 7 days. These results suggest that both SiAF and SiNF treatments are abiotic stresses accompanying ROS generation in apoplast. Comparison between continuous fog treated shoots and control shoots. Biological replicates: 3 simulated acid fog (pH 3.0) treated (SiAF) for 1 day; 3 simulated acid fog (pH 3.0) treated (SiAF) for 7 days; 3 simulated neutral fog (SiNF) treated for 1 day; 3 simulated neutral fog (SiNF) treated for 7 days; 3 controls for 1 day; 3 controls for 7 days. Independently grown and harvested. Cultivar: Hinohikari 1 sample derived from 5 plants grown under the same conditons. Total: 18 samples, 12 comparisons.

ORGANISM(S): Oryza sativa Japonica Group

SUBMITTER: Kouji Satoh

PROVIDER: E-GEOD-31196 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Bolting is a key process in the growth and development of lettuce (Lactuca sativa L.). High temperature can induce earlier bolting which decreases in both quality and production of lettuce. However, knowledge underlying lettuce bolting is still lacking. To better understand the molecular basis of bolting, a comparative proteomics analysis was conducted on lettuce stems in the bolting period induced by high temperature (33 °C) compared with a control (20 °C) using iTRAQ-based proteomics, phenotypic measures, and biological verifications. High temperature induced lettuce bolting, while control temperature did not. Of the 6656 proteins identified, 758 proteins significantly altered their expression level induced by high-temperature relative to the control, of which 409 were up-regulated and 349 down-regulated. Proteins with abundance level change were mainly involved in photosynthesis, carbohydrate metabolism, stress response, hormone synthesis, and signal transduction. These differential proteins were mainly enriched in pathways associated with photosynthesis and tryptophan metabolism involving in auxin (IAA) biosynthesis. Among the differentially expressed proteins associated with photosynthesis and tryptophan metabolism were up-regulated. Moreover, in gibberellin (GA) biosynthesis pathway, 10 of main enzymes of P450 were up-regulated. Proteins related to SAUR and GRP, implicated in IAA and GA signal transduction were up-regulated, and the phosphorylation and ubiquitination related proteins regulating IAA and GA signal transduction were also induced. These findings indicate that a high temperature enhances the function of photosynthesis, IAA and GA synthesis and signal transduction to promote the process of bolting, which is in line with the physiology and transcription levels of IAA and GA metabolism. Our data provide a first comprehensive dataset for gaining novel understanding of the molecular basis underlying lettuce bolting induced by high temperature. It is potentially important for further functional analysis and genetic manipulation for molecular breeding to breed new cultivar of lettuce to restrain early bolting, which is vital for improving vegetable quality.

Project description:Background: Plants attenuate their responses to a variety of bacterial and fungal pathogens, leading to higher incidences of pathogen infection at night. However, little is known about the molecular mechanism responsible for the light-induced defence response; transcriptome data would likely facilitate the elucidation of this mechanism. Results: In this study, we observed diurnal changes in tomato resistance to Pseudomonas syringae pv. tomato DC3000 (Pto DC3000), with the greatest susceptibility before midnight. Nightly light treatment, particularly red light treatment, significantly enhanced the resistance; this effect was correlated with increased salicylic acid (SA) accumulation and defence-related gene transcription. RNA-seq analysis revealed that red light induced a set of circadian rhythm-related genes involved in the phytochrome and SA-regulated resistance response. The biosynthesis and signalling pathways of multiple plant hormones (auxin, SA, jasmonate, and ethylene) were co-ordinately regulated following Pto DC3000 infection and red light, and the SA pathway was most significantly affected by red light and Pto DC3000 infection. This result indicates that SA-mediated signalling pathways are involved in red light-induced resistance to pathogens. Importantly, silencing of nonexpressor of pathogensis-related genes 1 (NPR1) partially compromised red light-induced resistance against Pto DC3000. Furthermore, sets of genes involved in redox homeostasis (respiratory burst oxidase homologue, RBOH; glutathione S-transferases, GSTs; glycosyltransferase, GTs), calcium (calmodulin, CAM; calmodulin-binding protein, CBP), and defence (polyphenol oxidase, PPO; nudix hydrolase1, NUDX1) as well as transcription factors (WRKY18, WRKY53, WRKY60, WRKY70) and cellulose synthase were differentially induced at the transcriptional level by red light in response to pathogen challenge. Conclusions: Taken together, our results suggest that there is a diurnal change in susceptibility to Pto DC3000 with greatest susceptibility in the evening. The red light induced-resistance to Pto DC3000 at night is associated with enhancement of the SA pathway, cellulose synthase, and reduced redox homeostasis. Four treatments including control, three biological replicates each treatment

Project description:ABA signaling relies on the perception of the hormone by 14 different members of the PYR/PYL/RCAR family of ABA receptors. Upon ABA binding, receptors become active in inhibiting a family of type 2C protein phosphatases that usually function as negative regulators on protein kinases of the SnRK2 family. Previous physiological and genetic data supporting a negative role exerted by nitric oxide (NO) on ABA signaling have been reported. Our preliminary data suggested that negative regulation exerted by NO on ABA signaling may involve direct effects of NO on ABA receptors. Here we explore whether the effects of NO on ABA signaling are due to post-translational modifications (PTMs) on ABA receptors. Two main PTMs are functionally related to NO, the S-nitrosylation of C residues and the nitration of Y residues and they have been studied in this work. Because our data suggest that NO can also modulate the stability of the receptor proteins, we have also analyzed another PTM, the ubiquitination of K residues. A double approach based on in vitro nitration of recombinant PYR/PYL/RCAR proteins as well as in planta expression of HA-tagged versions of the receptors, followed by immunopurification strategies based on anti-3-nitroY-coated magnetic beads, and LC-MS/MS analyses of the immunopurified proteins under non-reducing conditions allowed us to identify peptides containing nitroY (mass shifts of +45), S-nitrosylated C (mass shifts of +29), and K-GG tags resulting from the trypsin digestion of ubiquitin tails (mass shift of + 114). Our data suggest that S-nitrosylation of cysteines from PYR/PYL receptors occur in planta but has not effect on receptor function as tested in vitro. By contrast, the nitration of several Y residues of PYR/PYL receptors completely inactivates them, promotes also their polyubiquitination and marks them for subsequent proteasomal degradation, thus representing a rapid mechanism for lowering ABA sensitivity when required in the plant.

Dataset Information

The gene responses of the rice plant treated with both continuous simulated acid fog (pH3.0) and natural fog (pH5.6) treatments

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure