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Comparison of transcriptome profile between wild-type and dst mutant plants

ABSTRACT: Drought and salinity are two main abiotic-stresses negatively affecting crop growth and productivity worldwide with largely decreasing crop yields. The understanding of plant responses to stresses in physiology, genetics, and molecular biology will be greatly helpful to improve the tolerance of crops to abiotic-stresses through genetic engineering.To identify the genetic loci that control drought and salt tolerance in rice, we performed a large-scale screen for the mutants with altered drought and salt tolerance. A drought and salt tolerance (dst) mutant line was isolated.In this series, we compare the transcriptome of wild-type plant Zhonghua11 and dst mutants under the normal growth conditions. Keywords: genetic modification

ORGANISM(S): Oryza sativa

PROVIDER: GSE11175 | GEO | 2009/07/30

SECONDARY ACCESSION(S): PRJNA106869

REPOSITORIES: GEO

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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.

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Comparison of transcriptome profile between wild-type and dst mutant plants

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