Real-time quantitative PCR analysis of PP2C genes in Brachypodium distachyon of different tissues and under multiple stresses
Ontology highlight
ABSTRACT:
ORGANISM(S): Brachypodium distachyon
PROVIDER: GSE70366 | GEO | 2017/02/14
SECONDARY ACCESSION(S): PRJNA288452
REPOSITORIES: GEO
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Project description:Clade A PP2C genes in different organs and responding to stresses were screened using qPCR. The BjuACTINs were regarded as house keeping gene.To analyze the gene expression patterns of clade A BjuPP2Cs genes under biotic stress, 14-day-old seedlings were treated with P. brassicae liquid (OD600=0.07) for 0, 0.25, 0.5, 1, 3, 5, 7, and 9 days; to analyze the gene expression patterns of clade A BjuPP2Cs genes under abiotic stresses, 5-day-old seedlings were treated with 50 μM ABA, 100 mM NaCl and 4℃ treatment for 3 h. To analysis the gene expression level in different growth stages of stem swelling, the samples D1 (the stems of 1-month-old seedlings, six leaf stage), D2 (the stems of 2-month-old seedlings, primary stage of stem swelling), D3 (the stems of 3-month-old seedlings, early stage of stem swelling), D4 (the stems of 4.5-month-old seedlings, fast-growing stage of stem swelling) and D5 (the stems of 5-month-old seedlings, last stage of stem swelling) of B. juncea var. tumida which were grown in the field were collected.
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Project description:Biotic and abiotic stresses limit agricultural yields, and plants are often simultaneously exposed to multiple stresses. Combinations of stresses such as heat and drought or cold and high light intensity, have profound effects on crop performance and yeilds To analyze such responses, we initially compared transcriptome changes in ten Arabidopsis thaliana ecotypes using cold, heat, high light, salt and flagellin treatments as single stress factors or their double combinations.
2013-01-31 | GSE41935 | GEO
Project description:Real-time quantitative PCR analysis of PP2C genes in Brachypodium distachyon of different tissues and under multiple stresses
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Project description:Grain development and its evolution in grasses remains poorly understood, despite cereals being our most important source of food. The grain, for which many grass species have been domesticated, is a single-seeded fruit with prominent and persistent endosperm. Brachypodium distachyon, a small wild grass, is being posited as a new model system for the temperate small grain cereals, but little is known about its endosperm development and how this compares with that of the domesticated cereals. A cellular and molecular map of domains within the developing Brachypodium endosperm is constructed. This provides the first detailed description of grain development in Brachypodium for the reference strain, Bd21, that will be useful for future genetic and comparative studies. Development of Brachypodium grains is compared with that of wheat. Notably, the aleurone is not regionally differentiated as in wheat, suggesting that the modified aleurone region may be a feature of only a subset of cereals. Also, the central endosperm and the nucellar epidermis contain unusually prominent cell walls that may act as a storage material. The composition of these cell walls is more closely related to those of barley and oats than to those of wheat. Therefore, although endosperm development is broadly similar to that of temperate small grain cereals, there are significant differences that may reflect its phylogenetic position between the Triticeae and rice.
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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:Phytohormones are key regulators of plant growth, development, and signalling networks involved in responses to diverse biotic and abiotic stresses. Transcriptional reference maps of hormone responses have been reported for several model plant species such as Arabidopsis thaliana, Oryza sativa, and Brachypodium distachyon. However, because of species differences and the complexity of the wheat genome, these transcriptome data are not appropriate reference material for wheat studies. We comprehensively analysed the transcriptomic responses in wheat spikes to seven phytohormones, including indole acetic acid (IAA), gibberellic acid (GA), abscisic acid (ABA), ethylene (ET), cytokinin (CK), salicylic acid (SA), and methyl jasmonic acid (MeJA). A total of 3386 genes were differentially expressed at 24 h after the hormone treatments. Furthermore, 22.7% of these genes exhibited overlapping transcriptional responses for at least two hormones, implying there is crosstalk among phytohormones. We subsequently identified genes with expression levels that were significantly and differentially induced by a specific phytohormone (i.e., hormone-specific responses). The data for these hormone-responsive genes were then compared with the transcriptome data for wheat spikes exposed to biotic (Fusarium head blight) and abiotic (water deficit) stresses. Our data were used to develop a transcriptional reference map of hormone responses in wheat spikes.
2017-09-05 | GSE103430 | GEO
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