Project description:DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. However, unintended effects of GM plants in leaves through DNA microarray analysis has many researches, but research of unintended effects of GM plants of the underground portion has few. In this study, DNA microarray analysis was used to detect DEG in underground portions between transgenic rice HH1 and its non-transgenic control MH63. We used microarrays to study unintended effects in root of transgenic rice Huahui 1. Samples were collected from root of HH1 and MH63 at 30-day old and were used for RNA extraction and hybridization on Affymetrix microarrays. We selected diferentially expressed genes and common significantly changed pathways hoping to as a clue to investigate unintended effects of HH1 root.
Project description:DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. However, unintended effects of GM plants in leaves through DNA microarray analysis has many researches, but research of unintended effects of GM plants of the underground portion has few. In this study, DNA microarray analysis was used to detect DEG in underground portions between transgenic rice HH1 and its non-transgenic control MH63. We used microarrays to study unintended effects in root of transgenic rice Huahui 1.
Project description:DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. But the distribution of differentially expressed genes in GM crops remains unclear. So the results of microarray analysis might be invalid for assessment of unintended effects if differentially expressed genes are extremely distributed. We used microarrays to study the distribution pattern of differentially expressed genes in HH1 at different developmental stages and environmental conditions. Samples were collected from both HH1 and MH63 at different developmental stages and environmental conditions and were used for RNA extraction and hybridization on Affymetrix microarrays. We selected differentially expressed genes, common differentially expressed genes and common significantly changed pathways hoping to clarify the distributions of differentially expressed genes in HH1.
Project description:In this study, we used a cross-species network approach to uncover nitrogen (N)-regulated network modules conserved across a model and a crop species. By translating gene network knowledge from the data-rich model Arabidopsis (Arabidopsis thaliana, ecotype Columbia-0) to a crop, rice (Oryza sativa spp. japonica (Nipponbare)), we identified evolutionarily conserved N-regulatory modules as targets for translational studies to improve N use efficiency in transgenic plants.
Project description:5 leaves old rice plantlets were infected with Magnaporthe grisea spores and zero, two hours and twenty four houres after infection samples were collected
