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ABSTRACT:
PROVIDER: PRJEB62147 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR11447791_1.fastq.gz | Fastqsanger.gz | |||
| ERR11447791_2.fastq.gz | Fastqsanger.gz | |||
| ERR11447792_1.fastq.gz | Fastqsanger.gz | |||
| ERR11447792_2.fastq.gz | Fastqsanger.gz | |||
| ERR11447793_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 6 |
Similar Datasets
Project description:Pathak2013 - MAPK activation in response to various biotic stresses
MAPK activation mechanism in response to various biotic (fungal and bacterial pathogens) stress conditions in plants
This model is described in the article:
Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach.
Pathak RK, Taj G, Pandey D, Arora S, Kumar A.
Bioinformation 2013; 9(9): 443-449
Abstract:
Mitogen-Activated Protein Kinases (MAPKs) cascade plays an important role in regulating plant growth and development, generating cellular responses to the extracellular stimuli. MAPKs cascade mainly consist of three sub-families i.e. mitogen-activated protein kinase kinase kinase (MAPKKK), mitogen-activated protein kinase kinase (MAPKK) and mitogen activated protein kinase (MAPK), several cascades of which are activated by various abiotic and biotic stresses. In this work we have modeled the holistic molecular mechanisms essential to MAPKs activation in response to several abiotic and biotic stresses through a system biology approach and performed its simulation studies. As extent of abiotic and biotic stresses goes on increasing, the process of cell division, cell growth and cell differentiation slow down in time dependent manner. The models developed depict the combinatorial and multicomponent signaling triggered in response to several abiotic and biotic factors. These models can be used to predict behavior of cells in event of various stresses depending on their time and exposure through activation of complex signaling cascades.
This model is hosted on BioModels Database
and identified
by: BIOMD0000000492
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2024-09-02 | BIOMD0000000492 | BioModels
Project description:Pathak2013 - MAPK activation in response to various abiotic stresses
MAPK activation mechanism in response to various abiotic stress conditions, such as cold, salt, drought, H2O2, heavy metal and ethylene, in plants
This model is described in the article:
Modeling of the MAPK machinery activation in response to various abiotic and biotic stresses in plants by a system biology approach.
Pathak RK, Taj G, Pandey D, Arora S, Kumar A.
Bioinformation 2013; 9(9): 443-449
Abstract:
Mitogen-Activated Protein Kinases (MAPKs) cascade plays an important role in regulating plant growth and development, generating cellular responses to the extracellular stimuli. MAPKs cascade mainly consist of three sub-families i.e. mitogen-activated protein kinase kinase kinase (MAPKKK), mitogen-activated protein kinase kinase (MAPKK) and mitogen activated protein kinase (MAPK), several cascades of which are activated by various abiotic and biotic stresses. In this work we have modeled the holistic molecular mechanisms essential to MAPKs activation in response to several abiotic and biotic stresses through a system biology approach and performed its simulation studies. As extent of abiotic and biotic stresses goes on increasing, the process of cell division, cell growth and cell differentiation slow down in time dependent manner. The models developed depict the combinatorial and multicomponent signaling triggered in response to several abiotic and biotic factors. These models can be used to predict behavior of cells in event of various stresses depending on their time and exposure through activation of complex signaling cascades.
This model is hosted on BioModels Database
and identified
by: BIOMD0000000491
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2024-09-02 | BIOMD0000000491 | BioModels
Project description:Studies investigating crop resistance to biotic and abiotic stress have largely focused on plant responses to singular forms of stress and individual biochemical pathways that only partially represent stress responses. Thus, combined biotic and abiotic stress treatments and the global assessment of their elicited metabolic expression remains largely unexplored. In this study, we employed targeted and untargeted metabolomics to investigate the metabolic responses of maize (Zea mays) to both individual and combinatorial stress treatments using heat (abiotic) and Cochliobolus heterostrophus infection (biotic) experiments. Ultra-high-performance liquid chromatography-high-resolution mass spectrometry revealed significant metabolic responses to C. heterostrophus infection and heat stress, and comparative analyses between these individual forms of stress demonstrated differential elicitation between the two global metabolomes. In combinatorial experiments, treatment with heat stress prior to fungal inoculation negatively impacted maize disease resistance against C. heterostrophus, and distinct metabolome separation between combinatorial stressed plants and the non-heat stressed infected controls was observed. Targeted analysis revealed inducible primary and secondary metabolite responses to biotic/abiotic stress, and combinatorial experiments indicated that deficiency in the hydroxycinnamic acid, p-coumaric acid, may lead to the heat-induced susceptibility of maize to C. heterostrophus. Collectively, these findings demonstrate that abiotic stress can predispose crops to more severe disease symptoms, underlining the increasing need to investigate defense chemistry in plants under combinatorial stress.
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Project description:Stressors may have negative or positive effects in dependence of the dose (hormesis). We studied this phenomenon in Caenorhabditis elegans by applying weak or severe abiotic (cadmium, CdCl2) and/or biotic stress (different bacterial diets) during cultivation/breeding of the worms, and determining developmental speed or survival rates and performing transcriptome profiling and RT-qPCR analyses to explore the genetic basis of the detected phenotypic differences. This study showed that a bacterial diet resulting in higher levels of energy resources in the worms (E. coli OP50 feeding) or weak abiotic and biotic stress especially promote the resistance against severe abiotic or biotic stress and the age-specific survival rate of WT.
2018-12-01 | GSE123183 | GEO
Project description:Plants adapt to abiotic and biotic stresses by activating abscisic acid-mediated (ABA) abiotic stress-responsive and salicylic acid-(SA) or jasmonic acid-mediated (JA) biotic stress-responsive pathways, respectively. Although the abiotic stress-responsive pathway interacts antagonistically with the biotic stress-responsive pathways, the mechanisms that regulate these pathways remain largely unknown. In this study, we provide insight into the function of vascular plant one-zinc-finger proteins (VOZs) that modulate various stress responses in Arabidopsis. The expression of many stress-responsive genes was changed in the voz1voz2 double mutant under normal growth conditions. Consistent with altered stress-responsive gene expression, freezing- and drought-stress tolerances were increased in the voz1voz2 double mutant. In contrast, resistance to a fungal pathogen, Colletotrichum higginsianum, and to a bacterial pathogen, Pseudomonas syringae, was severely impaired. Thus, impairing VOZ function simultaneously conferred increased abiotic tolerance and biotic stress susceptibility. In a chilling stress condition, both the VOZ1 and VOZ2 mRNA expression levels and the VOZ2 protein level gradually decreased. VOZ2 degradation during cold exposure was completely inhibited by the addition of the 26S proteasome inhibitor, MG132, a finding that suggested that VOZ2 degradation is dependent on the ubiquitin/26S proteasome system. In voz1voz2, ABA-inducible transcription factor CBF4 expression was enhanced significantly even under normal growth conditions, despite an unchanged endogenous ABA content. A finding that suggested that VOZs negatively affect CBF4 expression in an ABA-independent manner. These results suggest that VOZs function as both negative and positive regulators of the abiotic and biotic stress-responsive pathways, and control Arabidopsis adaptation to various stress conditions.
2012-11-19 | GSE24741 | GEO
Project description:Determine gene expression in daphnia exposed to biotic and abiotic stressors. Identify in Daphnia pulex unique gene regulatory patterns involved in the regulation of limited phosphorous.
2012-03-13 | GSE27959 | GEO
Project description:We describe the transcriptional profiles upon 1 mM linolenic acid (Ln) treatment in Arabidopsis cell suspension cultures. Ln is an important fatty acid in plant. We found that Ln treatment induced the expression of 533 genes and repressed the expression of 2501 gene. GO analysis indicated that most of those genes related to Reactive Oxygen Species signaling, abiotic and biotic stress responses, and/or Jasmonic Acid biosynthesis and signaling. This study provides basic information on how Ln regulates the gene expression and fulfils its role in abiotic and biotic stresses.
2015-06-01 | E-MTAB-4243 | biostudies-arrayexpress
Project description:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs in leaves and flowers of sweet orange. Consequently we identified genome-wide 183 known miRNAs and 38 novel miRNAs.
2014-10-21 | GSE46747 | GEO