Inhibition of the mitochondrial TCA cycle by monofluoroacetate in Arabidopsis thaliana
Ontology highlight
ABSTRACT:
ORGANISM(S): Arabidopsis thaliana
PROVIDER: GSE29268 | GEO | 2013/01/01
SECONDARY ACCESSION(S): PRJNA142935
REPOSITORIES: GEO
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Project description:Plant mitochondria signal to the nucleus leading to altered transcription of nuclear genes by a process called mitochondrial retrograde regulation (MRR). MRR is implicated in metabolic homeostasis and responses to stress conditions. Transcriptional consequences on nuclear gene expression of mitochondrial perturbations were examined by a microarray analyses. Expression of 606 genes was altered by monofluoroacetate (MFA) inhibition of the TCA cycle in leaves of soil grown Arabidopsis plants in the dark for 10 hours. Functional gene category (MapMan) and cluster analyses showed that genes with expression levels affected by perturbation from MFA inhibition were most similarly affected by biotic stresses such as pathogens, not oxidative stresses. Overall, the data provide further evidence for the presence of mtROS-independent MRR signaling, and support the proposed involvement of MRR and mitochondrial function in plant responses to biotic stress. Three independent (bio-replicate) experiments were done using three independent plant samples in the treatments. For each, approximately 30 plants were used for the treated sample and about 30 plants were used as the control sample. Plants were treated with 5 mM monofluoroacetate in 0.01% Tween 20 and incubated in the dark at room temperature (25C) for 6 hours. RNA was isolated from the inhibitor treated and control plants and used for microarray experiments. For each independent (bio-replicate) experiment, two microarrays were utilized using Cy3 and Cy5 dye-labeled samples and dye swapping was incorporated- 2 microarrays for each of 3 independent experiments (6 microarrays total).
2013-01-01 | E-GEOD-29268 | biostudies-arrayexpress
Project description:Plant mitochondria signal to the nucleus leading to altered transcription of nuclear genes by a process called mitochondrial retrograde regulation (MRR). MRR is implicated in metabolic homeostasis and responses to stress conditions. Transcriptional consequences on nuclear gene expression of mitochondrial perturbations were examined by a microarray analyses. Expression of 1316 was altered by antimycin A (AA) inhibition of the cytochrome respiratory pathway in leaves of soil grown Arabidopsis plants in the dark for 6 hours. Functional gene category (MapMan) and cluster analyses showed that genes with expression levels affected by perturbation from AA or MFA inhibition were most similarly affected by biotic stresses such as pathogens, not oxidative stresses. Overall, the data provide further evidence for the presence of mtROS-independent MRR signaling, and support the proposed involvement of MRR and mitochondrial function in plant responses to biotic stress.
2013-01-01 | GSE29204 | GEO
Project description:Plant mitochondria signal to the nucleus leading to altered transcription of nuclear genes by a process called mitochondrial retrograde regulation (MRR). MRR is implicated in metabolic homeostasis and responses to stress conditions. Transcriptional consequences on nuclear gene expression of mitochondrial perturbations were examined by a microarray analyses. Expression of 1316 was altered by antimycin A (AA) inhibition of the cytochrome respiratory pathway in leaves of soil grown Arabidopsis plants in the dark for 6 hours. Functional gene category (MapMan) and cluster analyses showed that genes with expression levels affected by perturbation from AA or MFA inhibition were most similarly affected by biotic stresses such as pathogens, not oxidative stresses. Overall, the data provide further evidence for the presence of mtROS-independent MRR signaling, and support the proposed involvement of MRR and mitochondrial function in plant responses to biotic stress. Three independent (bio-replicate) experiments were done using three independent plant samples and independent chemicals in the treatments. For each, approximately 30 plants were used for the treated sample and about 30 plants were used as the control treated sample. Plants were treated with 20 uM antimycin A in 0.01% Tween 20 and incubated in the dark at room temperature (25C) for 6 hours. RNA was isolated from the inhibitor treated and control treated plants and used for microarray experiments. For each independent (bio-replicate) experiment, two microarrays were utilized using Cy3 and Cy5 dye-labeled samples and dye swapping was incorporated- so, minimum of 2 microarrays for each of 3 independent experiments (6 microarrays). In addition, two of the microarrays were duplicated so that a total of 8 slides were used in the data analyses.
2013-01-01 | E-GEOD-29204 | biostudies-arrayexpress
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.
2013-11-15 | 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.
2013-11-15 | BIOMD0000000491 | BioModels
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2017-03-30 | E-MTAB-5438 | biostudies-arrayexpress
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