Oryza sativa
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ABSTRACT:
PROVIDER: PRJNA1284649 | ENA |
REPOSITORIES: ENA
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Project description:High temperature during the grain-filling stage causes deleterious effects on storage material accumulation and grain quality. But it is still unclear how high temperature affects storage materials accumulation. In this study, we systemically analyzed the expression pattern of rice genes under high temperture during the grain-filling stage.
2015-10-19 | GSE73220 | GEO
Project description:Oil rapeseed (Brassica napus L.) is a typical winter biennial plant, with high cold tolerance during vegetative stage. In recent years, more and more early-maturing rapeseed varieties were planted across China. Unfortunately, the early-maturing rapeseed varieties with low cold tolerance have higher risk of freeze injury in cold winter and spring. Little is known about the molecular mechanisms for coping with different low-temperature stress conditions in rapeseed. In this study, we investigated 47,328 differentially expressed genes (DEGs) of two early-maturing rapeseed varieties with different cold tolerance treated with cold shock at chilling (4°C) and freezing (−4°C) temperatures, as well as chilling and freezing stress following cold acclimation or control conditions. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that two conserved (the primary metabolism and plant hormone signal transduction) and two novel (plant-pathogen interaction pathway and circadian rhythms pathway) signaling pathways were significantly enriched with differentially-expressed transcripts. Our results provided a foundation for understanding the low-temperature stress response mechanisms of rapeseed. We also propose new ideas and candidate genes for genetic improvement of rapeseed tolerance to cold stresses.
2020-03-19 | GSE129220 | GEO
Project description:To further understand the genomics of low light tolerance, Swarnaprabha rice line was subjected to low light or shade stress. The fully emerged panicles were samples at early grain filling stage and microarray was performed from the spikelets. Expression of 12 gene in different pathway were verified using real-time PCR reactions.
2019-05-14 | GSE118464 | GEO
Project description:Rice reproductive development is highly sensitive to high temperature stress. In rice flowering occurs over a period of at least 5 days. Heat stress alters the global gene expression dynamics in panicle especially during pollen development, anthesis and grain filling. Some of the rice genotypes like Nagina 22 show better spikelet fertility and grain filling compared to high yielding and popular rice cultivars like IR 64. We carried out microarray analysis of 8 days heat stressed panicles of Nagina22, heat and drought tolerant aus rice cultivar and IR64, a heat susceptible indica genotype along with unstressed samples of Nagina22 and IR64 so as to understand the transcriptome dynamics in these two genotypes under heat stress and to identify the genes important for governing heat stress tolerance in rice.
2021-01-31 | GSE136746 | GEO
Project description:Two maize hybrid cultivars contrasting in low nitrogen tolerance (low nitrogen-tolerant XY335 and low nitrogen-sensitive HN178) were used in this study . The experiment was carried out at Xinji Experimental Station (43º31′N, 124º48′E) of Hebei Agricultural University. The top 0-20 cm of the soil used contained organic matter 17.79 g·kg-1, total nitrogen 1.21 g·kg-1, alkali hydrolyzed nitrogen 64.9 mg.kg-1, available phosphorus 23.8 mg·kg-1, and available potassium 120.6 mg·kg-1. The experiment adopted a split plot design, with varieties as the main plot and nitrogen fertilizer as the sub-plot. There were 2 varieties for testing: XY335 and HN138. Two levels of nitrogen supply: N0 (0 kg N ha-1) and N240 (240 kg N ha-1), replicated three times. Each plot had 6 rows, with the row length measuring 20 m, and the row spacing of 60 cm, giving the plot area of 72 m2. The planting density was 67,500 plants ha-1. Nitrogen fertilizer used was urea (46% N), and 50% was applied before sowing and at the flared stage, respectively. During the grain filling stage, leaf tissues of three biological replicates were collected from control and treatment conditions, and immediately frozen in liquid nitrogen for subsequent proteomics analysis.
2022-05-20 | PXD028027 | Pride
Project description:Popular rice mega varieties lack sufficient key micronutrients (e.g., Fe, Zn), vitamins and a balanced amino acid composition that are essential for a healthy diet. The major bottleneck for improving the nutritional quality of popular rice varieties through conventional breeding or gene technology is our lack of an integrated understanding of the biochemical and molecular processes that occur during rice grain filling (and their determining genes or loci). In this project, we will perform molecular expression profiling on specific tissue layers of the rice grain. To perform this experiment, the material will be developing rice seeds from plants grown hydroponically under controlled greenhouse conditions. Then, the laser microdissection approach will be applied to dissect different parts of the grain (i.e, vascular trace, aleurone, nucellar epidermis, etc). Total RNA will be extracted from these dissected parts and RNA sequencing will be performed. In this project, we will learn how the synthesis and deposition of grain nutrients is regulated, particularly, during grain filling.
2020-09-16 | GSE153954 | GEO
Project description:To summarize the impact of high temperature on rice grain filling, we performed the rice 44k oligo microarray analysis.
2010-03-15 | GSE20345 | GEO
Project description:Enhancing grain production of rice (Oryza sativa L.) is a top priority in ensuring food security for human being. One approach to increase yield is to delay leaf senescence and to extend the available time for photosynthesis. microRNAs (miRNAs) are key regulators for aging and cellular senescence in eukayotes. However, miRNAs and their roles in rice leaf senescence remain unexplored. Here, we report identification of miRNAs and their putative target genes by deep sequencing of six small RNA libraries, six RNA-seq libraries and two degradome libraries from the leaves of two super hybrid rice, Nei-2-You 6 (N2Y6, age-resistant rice) and Liang-You-Pei 9 (LYP9, age-sensitive rice). Totally 372 known miRNAs and 162 miRNA candidates were identified, and 1145 targets were identified. Compared with the expression of miRNAs in the leaves of LYP9, the numbers of miRNAs up-regulated and down-regulated in the leaves of N2Y6 were 47 and 30 at early stage of grain-filling, 21 and 17 at the middle stage, and 11 and 37 at the late stage, respectively. Six miRNA families, osa-miR159, osa-miR160 osa-miR164, osa-miR167, osa-miR172 and osa-miR1848, targeting the genes encoding APETALA2 (AP2), zinc finger proteins, salicylic acid-induced protein 19 (SIP19), Auxin response factors (ARF) and NAC transcription factors, respectively, were found to be involved in leaf senescence through phytohormone signaling pathways. These results provided valuable information for understanding the miRNA-mediated leaf senescence of rice, and offered an important foundation for rice breeding. [miRNA] sample 1:The flag leaves at early stage of grain-filling of N2Y6 rice; sample 2: The flag leaves at middle stage of grain-filling of N2Y6 rice;sample 3:The flag leaves at late stage of grain-filling of N2Y6 rice; sample 4:The flag leaves at early stage of grain-filling of LYP9 rice; sample 5: The flag leaves at middle stage of grain-filling of LYP9 rice;sample 6:The flag leaves at late stage of grain-filling of LYP9 rice. [DGE]: samples 7-12 [degradome (targets)]: samples 13:The flag leaves at mixed stages of grain-filling of N2Y6 rice; sample 14:The flag leaves at mixed stages of grain-filling of LYP9 rice
2015-01-01 | E-GEOD-62200 | biostudies-arrayexpress
Project description:Proteomics of Qingke grains (at 16, 20, 36, and 42 days after flowering) were conducted to explore the metabolic dynamics during grain filling and compare the differences in quality among three different varieties, Dulihuang, Kunlun 14, and Heilaoya.
2025-03-17 | PXD061908 |