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:Small RNAs (~20 to 24 nucleotides) function as naturally occurring molecules critical in developmental pathways in plants and animals. Here we analyze small RNA populations from mature rice grain and seedlings by pyrosequencing. Using a clustering algorithm to locate regions producing small RNAs, we classified hotspots of small RNA generation within the genome. Hotspots here are defined as 1 kb regions within which small RNAs are significantly overproduced relative to the rest of the genome. Hotspots were identified to facilitate characterization of different categories of small RNA regulatory elements. Included in the hotspots, we found known members of 23 miRNA families representing 92 genes, one trans acting siRNA (ta-siRNA) gene, novel siRNA-generating coding genes and phased siRNA generating genes. Interestingly, over 20% of the small RNA population in grain came from a single foldback structure, which generated eight phased 21-nt siRNAs. This is reminiscent of a newly arising miRNA derived from duplication of progenitor genes. Our results provide data identifying distinct populations of small RNAs, including phased small RNAs, in mature grain to facilitate characterization of small regulatory RNA expression in monocot species. In an attempt to gain a broader understanding of gene expression in rice grain, we characterized small RNA populations from Oryza sativa spp. japonica cv. Nipponbare utilizing a deep sequencing approach. Small RNA libraries were constructed from three pools of mature, dormant rice grain and three-week post germination seedlings utilizing RNA-adapter mediated ligation. Each of the four libraries were independently sequenced using high-throughput pyrosequencing. We obtained a total of 679,146 sequences from the three rice grain libraries and 257,394 from one rice seedling library.
Project description:MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) regulate gene expression in eukaryotes. Plant miRNAs modulate their targets mainly via messenger RNA (mRNA) cleavage. Small RNA targets have been extensively investigated in Arabidopsis using computational prediction, experimental validation, and degradome sequencing. However, small RNA targets are largely unknown in rice (Oryza sativa). Here, we report global identification of small RNA targets using high throughput degradome sequencing in the rice indica cultivar 93-11 (Oryza sativa L. ssp. indica). 177 transcripts targeted by total of 87 unique miRNAs were identified. Of targets for the conserved miRNAs between Arabidopsis and rice, transcription factors comprise around 70% (58 in 82), indicating that these miRNAs act as masters of gene regulatory nodes in rice. In contrast, non-conserved miRNAs targeted diverse genes which provide more complex regulatory networks. In addition, 5 AUXIN RESPONSE FACTORS (ARF) cleaved by the TAS3 derived ta-siRNAs were also detected. A total of 40 sRNA targets were further validated via RNA ligase-mediated 5’ rapid amplification of cDNA ends (RLM 5’-RACE). Our degradome results present a detailed sRNA-target interaction atlas, which provides a guide for the study of the roles of sRNAs and their targets in rice.
Project description:In order to identify new miRNAs, NAT-siRNAs and possibly abiotic-stress regulated small RNAs in rice, three small RNA libraries were constructed from control rice seedlings and seedlings exposed to drought or salt stress, and then subjected to pyrosequencing.
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: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: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:The small RNAs presented here were produced as a preliminary exploration of small RNAs in rice, and as such, various tissues and stress conditions were sampled. Small RNAs present in these samples were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682. The datasets contain Oryza sativa var Nipponbar endogenous small RNA sequences in the size range 18 to 34 nt. Plants were grown in a Conviron Environmental Chamber at high light intensity using both high pressure sodium and metal halide lamps for 10.5 hr at 28 degrees C and for 13.5 hr at 26 degrees C in the dark. RNA was extracted from rice tissues at various stages of development and under different abiotic and biotic stresses. The small RNAs presented here were all mapped to the rice genome TIGR version 5. The total number of distinct mapped sequences are 12879 for Run 1 and 88508 for Run 2. The total number of sequence reads were respectively 70406 and 191682.
Project description:Small RNAs (~20 to 24 nucleotides) function as naturally occurring molecules critical in developmental pathways in plants and animals. Here we analyze small RNA populations from mature rice grain and seedlings by pyrosequencing. Using a clustering algorithm to locate regions producing small RNAs, we classified hotspots of small RNA generation within the genome. Hotspots here are defined as 1 kb regions within which small RNAs are significantly overproduced relative to the rest of the genome. Hotspots were identified to facilitate characterization of different categories of small RNA regulatory elements. Included in the hotspots, we found known members of 23 miRNA families representing 92 genes, one trans acting siRNA (ta-siRNA) gene, novel siRNA-generating coding genes and phased siRNA generating genes. Interestingly, over 20% of the small RNA population in grain came from a single foldback structure, which generated eight phased 21-nt siRNAs. This is reminiscent of a newly arising miRNA derived from duplication of progenitor genes. Our results provide data identifying distinct populations of small RNAs, including phased small RNAs, in mature grain to facilitate characterization of small regulatory RNA expression in monocot species.
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.