Project description:Macronutrients are pivotal elements for proper plant growth and development. We performed microarray analysis of rice leaves under nitrogen (N), phosphorus (P), and potassium (K) deficiency conditions in paddy field to obtain a global view of gene regulations associated with plant response to essential nutrients.
Project description:Rice anthers at the anthesis stage were collected from the wild type (Dongjin cultivar) and far1-1 mutant grown in the paddy field located in the KyungHee University. The collected samples were immediately frozen with liquid nitrogen. RNA from these samples was extracted with RNeasy plant mini kit according to the manufacture's documentation.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Toyama.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Sapporo. Time-course transcriptional profiling of rice leaf in Sapporo field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Fukuyama. Time-course transcriptional profiling of rice leaf in Fukuyama field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.
Project description:We have previously demonstrated statistical modeling of gene expression under various environmental factors using field transcriptome data obtained from samples grown in a paddy field at Tsukuba, Japan. In this series of experiments, we would like to improve the models for practical use. In order to do that, we have done field transcriptome assay in seven paddy fields at different sites in Japan (or, Sappro, Furukawa, Toyama, Tsukuba, Takatsuki, Furukawa, and Fukuoka). This data is from one of the places, Fukuoka. Time-course transcriptional profiling of rice leaf in Fukuoka field in 2014. This experiment was performed to analyze the dynamics of field transcriptome data.