Project description:We aimed to identify differential expression of microRNAs between superior and inferior spikelets by using a deep sequencing approach developed by Solexa (Illumina). Two small RNA libraries were constructed from superior and inferior spikelets at 18 days after fertilization, and more than nine million small RNA sequence reads were generated for each library. Totals of 351 and 312 known miRNAs were obtained from the superior and inferior spikelets, respectively. Analysis of the expression profiles of these miRNAs showed that 189 miRNAs were differentially expressed between superior spikelets and inferior spikelets. In addition, 43 novel miRNAs were identified mostly by the accumulations of miRNA*s were also expressed differentially. Further analysis shows that these miRNAs may individually participate in regulating hormone metabolism, carbohydrate metabolic pathways, and cell division during rice grain development. These results indicate that slow grain filling and low grain weight of rice inferior spikelets probably relation to the expression and function differences between superior and inferior spikelet miRNAs.
Project description:In the current study, we characterized an miRNA, OsmiR397, which was found to be associated with increased grain size, more rice panicle branching and higher grain productivity. We also elucidated the molecular mechanisms by which OsmiR397 increased grain yield. This miRNA downregulated the expression of its target gene, OsLAC, which then affected the sensitivity of plants to brassinosteroids. These results should be useful for breeding high-yield crops through genetic engineering. We performed RNA-seq on the young panicles of the wild-type, OXmiR397b and OXLAC plants and found that lots of brassinosteroid-related genes were differentially expressed between the three samples
Project description:RNAi mediated suppression of MADS29 severely affects seed set; the surviving seeds are smaller in size with reduced grain filling, abnormal starch grains and aberrant embryo development. To identify the affected pathways due to suppression of this transcription factor in the transgenic seeds, transcriptome analysis using microarray was carried out.
Project description:Gene expression profile was studied to complement fine mapping studies. Genes co-located in the previously reported three aroma QTLs viz. qaro3.1, qaro4.1 and qaro8.1 were identified. Microarrays were used to study gene expression profile to reduce the number of up- and down regulated genes co-located within the reported aroma QTLs. These genes are the most suitable candidates for further validation studies and development of molecular markers to assist in Marker assisted Breeding for the development of new improved fragrant rice varieties. Six extreme aromatic RILs and six extreme non-aromatic RILs were identified on the basis of their sensory aroma scores. The RILs were pooled together to make two different bulk groups: aromatic bulk (VA) and non-aromatic bulk (VN). The two parents, Pusa 1121, the aromatic parent (VPA) and Pusa 1342, the non-aromatic parent (VRN) were also taken as two groups. RNA was isolated from fresh leaves after about 20-25 days of transplanting seedlings into experimental field, stage at which grain aroma develops. Four biological replicates (1-4) for each group were taken making a total of 16 samples.
Project description:In rice (Oryza sativa L.), the number of panicles, spikelets per panicle and grain weight are important components of grain yield. These characteristics are controlled by quantitative trait loci (QTLs) and are derived from variation inherent in crops.The identification of different yield related QTLs facilitates an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. In the present study, We cloned and characterized a large-panicle QTL, and confirmed that the newly identified gene OsEBS (enhancing biomass and spikelet number) increased plant height, leaf size and spikelet number per panicle, leading to an average of 37.62% increase in total grain yield per plant. trait loci (QTLs) and are derived from variation inherent in crops.
Project description:In rice (Oryza sativa L.), the number of panicles, spikelets per panicle and grain weight are important components of grain yield. These characteristics are controlled by quantitative trait loci (QTLs) and are derived from variation inherent in crops.The identification of different yield related QTLs facilitates an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. an understanding of the mechanisms involved in cereal crop yield, and may have utility in improving grain yield in cereal crops. In the present study, We cloned and characterized a large-panicle QTL, and confirmed that the newly identified gene OsEBS (enhancing biomass and spikelet number) increased plant height, leaf size and spikelet number per panicle, leading to an average of 37.62% increase in total grain yield per plant. trait loci (QTLs) and are derived from variation inherent in crops. OsEBS-transgenic rice B10201 and B10301 and control Guichao2
Project description:We aimed to identify differential expression of microRNAs between superior and inferior spikelets by using a deep sequencing approach developed by Solexa (Illumina). Two small RNA libraries were constructed from superior and inferior spikelets at 18 days after fertilization, and more than nine million small RNA sequence reads were generated for each library. Totals of 351 and 312 known miRNAs were obtained from the superior and inferior spikelets, respectively. Analysis of the expression profiles of these miRNAs showed that 189 miRNAs were differentially expressed between superior spikelets and inferior spikelets. In addition, 43 novel miRNAs were identified mostly by the accumulations of miRNA*s were also expressed differentially. Further analysis shows that these miRNAs may individually participate in regulating hormone metabolism, carbohydrate metabolic pathways, and cell division during rice grain development. These results indicate that slow grain filling and low grain weight of rice inferior spikelets probably relation to the expression and function differences between superior and inferior spikelet miRNAs. Examination of 2 different small RNA expression profilings in superior and inferior spikelets at 18 days after fertilization.
Project description:Gene expression profile was studied to complement fine mapping studies. Genes co-located in the previously reported three aroma QTLs viz. qaro3.1, qaro4.1 and qaro8.1 were identified. Microarrays were used to study gene expression profile to reduce the number of up- and down regulated genes co-located within the reported aroma QTLs. These genes are the most suitable candidates for further validation studies and development of molecular markers to assist in Marker assisted Breeding for the development of new improved fragrant rice varieties.
Project description:We analyzed the transcriptome profiles for rice grain from heat-tolerant and -sensitive lines in response to high night temperatures at the early milky stage using the Illumina Sequencing method. On the 8th day after the labeled florets flowered, plants with the same label were transferred to chambers and maintained at a temperature of 38.0â±â0.5°C (treatment) or 25.0â±â0.5°C (control) for the dark period (10 h), and 26.0â±â0.5°C (both treatment and control) for the light period (14 h). Three biological replicates of the temperature treatments were grown under the same conditions. After 48 h of treatment, samples containing 45 grains with labels from the same region (middle to bottom part) of labelled ears were harvested, packed in aluminum foil, and flash-frozen in liquid nitrogen until further use. A total of 12 rice grain samples were harvested, i.e., controls (TC1, TC2 and TC3) and treatments (TT1, TT2 and TT3) of the three biological replicates of the heat-tolerant line, and controls (SC1, SC2 and SC3) and treatments (ST1, ST2 and ST3) of the three biological replicates of the heat-sensitive line.