Project description:To reveal the underlying molecular mechanism of jasmonate inhibits gibberellins signaling in rice, we performed transcriptional profiling of wild type nipponbare and mutant coi1-13 plants on a global scale using the Affymetrix GeneChip Rice Genome Array
Project description:In this study, we analyzed the early response of two rice cultivars to infection by RSV (Rice stripe virus) and its carrier at the transcriptome level using next-generation deep-sequencing techniques. We investigated the alteration in gene expression between a disease-resistant cultivar and a susceptible cultivar before and after inoculation with RSV by co-culturing with Laodelphax striatellus for 48 h. Our study provides insight at the molecular level into the mechanism of development of rice stripe disease, which contributes to our understanding of the rice-RSV interaction.
Project description:Transcriptional profiling of MIT knockdown plants. MIT is a mitochondrial Fe transporter essential for rice growth and development. The goal was to determine the effects of MIT on global rice gene expression.
Project description:DNA methylation is an important epigenetic modification that regulates various plant developmental processes. Rice seed integument determines the seed size. However, the role of DNA methylation in its development remains largely unknown. Here, we report the first dynamic DNA methylomic profiling of rice maternal integument before and after pollination by using a whole-genome bisulfite deep sequencing approach. Analysis of DNA methylation patterns identified 4238 differentially methylated regions underpin 4112 differentially methylated genes, including GW2, DEP1, RGB1 and numerous other regulators participated in maternal integument development. Bisulfite sanger sequencing and qRT-PCR of six differentially methylated genes revealed extensive occurrence of DNA hypomethylation triggered by double fertilization at IAP compared with IBP, suggesting that DNA demethylation might be a key mechanism to activate numerous maternal controlling genes. These results presented here not only greatly expanded the rice methylome dataset, but also shed novel insight into the regulatory roles of DNA methylation in rice seed maternal integument development.
Project description:In this study, we used RNA-Seq to understand the mechanisms of Cd toxicity, cellular detoxification and protection pathways in response to Cd in rice roots. To gain additional insight into the rice transcriptomic response to environmental Cd stress, 15-day-old rice seedlings were treated with 10 or 100 μM solutions of Cd2+, or without Cd (control), for 24 h, at which point root samples were harvested and labeled as Cd+, Cd++, and control, respectively. These samples were used for 101 bp paired-end (PE) deep sequencing on an Illumina HiSeq 2500 platform.
Project description:Fairy rings are zones of stimulated grass growth by the interaction between the fungi and the plant. In the previous research, we reported the identification of the “fairy”, 2-azahypoxanthine (AHX), produced by the fairy ring-forming fungus and the mechanism of its growth-promoting activity using DNA microarray. We discovered AOH, a common metabolite of AHX in plants. We investigate expression profiling of rice seedlings treated with AHX or AOH for the mechanism of their growth-promoting activity.
Project description:Fairy rings are zones of stimulated grass growth by the interaction between the fungi and the plant. In the previous research, we reported the identification of the “fairy”, ICAproduced by the fairy ring-forming fungus and the mechanism of its growth-inhibiting activity using DNA microarray. We invetigate expression profiling of rice seedlings treated with ICA for the mechanism of its growth-inhibiting activity.
Project description:Phosphate starvation/sufficient rice seedling, root or shoot Pi-starvation or Pi-sufficient stresses responsible rice genes, including previously unannotated genes were identified by Illumina mRNA-seq technology. 53 million reads from Pi-starvation or Pi-sufficient root or shoot tissues were uniquely mapped to the rice genome, and these included 40574 RAP3 transcripts in root and 39748 RAP3 transcripts in shoot. We compared our mRNA-seq expression data with that from Rice 44K oligomicroarray, and about 95.5% (root) and 95.4% (shoot) transcripts supported by the array were confirmed expression both by the array and by mRNA-seq, Moreover, 11888 (root) and 11098 (shoot) RAP genes which were not supported by array, were evidenced expression with mRNA-seq. Furthermore, we discovered 8590 (root) and 8193 (shoot) previously unannotated transcripts upon Pi-starvation and/or Pi-sufficient.
Project description:A biological phenomenon in which hybrids exhibit superior phenotypes from its parental inbred lines known as heterosis, has been widely exploited in plant breeding and extensively used in crop improvement. Hybrid rice has immense potential to increase yield over other rice varieties and hence is crucial in meeting increasing demand of rice globally. Moreover, the molecular basis of heterosis is still not fully understood and hence it becomes imperative to unravel its genetic and molecular basis. In this context, RNA sequencing technology (RNA-Seq) was employed to sequence transcriptomes of two rice hybrids, Ajay and Rajalaxmi, their parental lines, CRMS31A (sterile line, based on WA-CMS) and CRMS32A (sterile line based on Kalinga-CMS) respectively along with the common restorer line of both hybrids, IR-42266-29-3R at two critical rice developmental stages viz., panicle initiation (PI) and grain filling (GF). Identification of differentially expressed genes (DEGs) at PI and GF stages will further pave the way for understanding heterosis. In addition, such kind of study would help in better understanding of heterosis mechanism and genes up-regulated and down-regulated during the critical stages of rice development for higher yield.
Project description:To reveal the underlying molecular mechanism of Gif1 action in the control of grain filling and yield improvement, we performed transcriptional profiling of wild type Zhonghua11 and mutant gif1 plants in early filling stage on a global scale using the Affymetrix GeneChip Rice Genome Array Keywords: Filling stage