Project description:We revealed that an enhancement of rice growth by 2'-deoxymugineic acid (DMA) application was observed not only under high pH conditions where iron availability for plant uptake was reduced but also under normal pH conditions. This result indicates that DMA application improves not only Fe availability for plants but also plant productivity. To explain a mechanism caused by the DMA application, molecular regulation in rice treated with or without DMA was analyzed using microarray analysis and qRT-PCR. Results provide insight into advantages of DMA application in rice seedlings.
Project description:We revealed that an enhancement of rice growth by 2'-deoxymugineic acid (DMA) application was observed not only under high pH conditions where iron availability for plant uptake was reduced but also under normal pH conditions. This result indicates that DMA application improves not only Fe availability for plants but also plant productivity. To explain a mechanism caused by the DMA application, molecular regulation in rice treated with or without DMA was analyzed using microarray analysis and qRT-PCR. Results provide insight into advantages of DMA application in rice seedlings. Gene expression patterns induced by DMA and EDTA in root and shoot were analyzed with control experiment (no chelator). One independent experiment was performed at each pH (pH 5.8 or pH 8.0).
Project description:Autotoxicity plays an important mechanism in regulating plant productivity. Ferulic acid (FA) is phytotoxic and was identified in extracts and residues of rice plants as a candidate for rice allelochemicals. To help characterize the autotoxicity mechanism of rice, we present the first large-scale, transcriptomic analysis of rice root responses to ferulic acid.
Project description:In this study, the complete genome sequences of Micrococcus luteus strains NCCP 15687 and NCCP 16831 were determined and deposited in the National Culture Collection for Pathogens (NCCP) of South Korea. Genomic DNA was isolated from blood samples from patients infected with M. luteus.
Project description:Developing strategies to increase rice productivity to meet global demand is one of the main challenges for breeders around the world. Here, we report a novel microRNA mediated process that increases rice grain yield in field trials. Expression of target mimicry of microRNA396 (MIM396) significantly increases rice yield by modulating the development of the auxiliary branches and spikelets through promoting the expression of Growth Regulation Factor 6 (OsGRF6). OsGRF6 coordinately induces the expression of several key factors involved in branch and spikelet development, auxin (IAA) biosynthesis, and auxin signaling pathway. Our results demonstrate that the miR396b-GRF6 module acts as a key player in shaping the inflorescence architecture of rice, which could be engineered to generate high-yield rice. This dataset records the profile of the binding peaks of OsGRF6 with GFP antibody in 35S:GRF6-GFP overexpression lines and the differential expressed genes between MIM396 and WT plants. Examination of OsGRF6 regulated genes.
Project description:One of the serious constraints to realize high level of rice crop productivity in agriculture has been due to Soil Water Stress (SWS) situation that growing plants often face. In order to increase or maintain the crop productivity in SWS situation, our initial aim is to understand the drought response mechanism in different genotypes of rice. For thorough analysis of SWS situation in rice we have taken here two wild genotypes of rice namely Oryza nivara, Oryza rufipogon and three Oryza sativa indica cultivars namely Nagina-22, IR20 and Vandana, where IR20 is known to be susceptible and Vandana is known to be tolerant under SWS condition [GSE49364 and the current study]. Global analysis of transcript profiling under SWS condition reveal the actual picture of genes responsive to stress situation in different genetic background of rice. Furthermore it would help us in the selection of most desirable resource for crop breeding without compromising the yield of crop. We used the 44k rice Oligoarray from Agilent technologies to study the expression profiles from five rice genotypes during vegetative (Veg) and grain-filling (GF) stages under varying water conditions, viz. Before Stress (BS), After Stress (AS) and After Recovery (AR).