Project description:Plant diurnal oscillation is a 24-hour period based variation. The correlation between diurnal genes and biological pathways was widely revealed by microarray analysis in different species. Rice (Oryza sativa) is the major food staple for about half of the world's population. The rice flag leaf is essential in providing photosynthates to the grain filling. However, there is still no comprehensive view about the diurnal transcriptome for rice leaves. In this study, we applied rice microarray to monitor the rhythmically expressed genes in rice seedling and flag leaves. We developed a new computational analysis approach and identified 6,266 (10.96%) diurnal probe sets in seedling leaves, 13,773 (24.08%) diurnal probe sets in flag leaves. About 65% of overall transcription factors were identified as flag leaf preferred. In seedling leaves, the peak of phase distribution was from 2:00am to 4:00am, whereas in flag leaves, the peak was from 8:00pm to 2:00am. The diurnal phase distribution analysis of gene ontology (GO) and cis-element enrichment indicated that, some important processes were waken by the light, such as photosynthesis and abiotic stimulus, while some genes related to the nuclear and ribosome involved processes were active mostly during the switch time of light to dark. The starch and sucrose metabolism pathway genes also showed diurnal phase. We conducted comparison analysis between Arabidopsis and rice leaf transcriptome throughout the diurnal cycle. In summary, our analysis approach is feasible for relatively unbiased identification of diurnal transcripts, efficiently detecting some special periodic patterns with non-sinusoidal periodic patterns. Compared to the rice flag leaves, the gene transcription levels of seedling leaves were relatively limited to the diurnal rhythm. Our comprehensive microarray analysis of seedling and flag leaves of rice provided an overview of the rice diurnal transcriptome and indicated some diurnal regulated biological processes and key functional pathways in rice.

Project description:Plant diurnal oscillation is a 24-hour period based variation. The correlation between diurnal genes and biological pathways was widely revealed by microarray analysis in different species. Rice (Oryza sativa) is the major food staple for about half of the world's population. The rice flag leaf is essential in providing photosynthates to the grain filling. However, there is still no comprehensive view about the diurnal transcriptome for rice leaves. In this study, we applied rice microarray to monitor the rhythmically expressed genes in rice seedling and flag leaves. We developed a new computational analysis approach and identified 6,266 (10.96%) diurnal probe sets in seedling leaves, 13,773 (24.08%) diurnal probe sets in flag leaves. About 65% of overall transcription factors were identified as flag leaf preferred. In seedling leaves, the peak of phase distribution was from 2:00am to 4:00am, whereas in flag leaves, the peak was from 8:00pm to 2:00am. The diurnal phase distribution analysis of gene ontology (GO) and cis-element enrichment indicated that, some important processes were waken by the light, such as photosynthesis and abiotic stimulus, while some genes related to the nuclear and ribosome involved processes were active mostly during the switch time of light to dark. The starch and sucrose metabolism pathway genes also showed diurnal phase. We conducted comparison analysis between Arabidopsis and rice leaf transcriptome throughout the diurnal cycle. In summary, our analysis approach is feasible for relatively unbiased identification of diurnal transcripts, efficiently detecting some special periodic patterns with non-sinusoidal periodic patterns. Compared to the rice flag leaves, the gene transcription levels of seedling leaves were relatively limited to the diurnal rhythm. Our comprehensive microarray analysis of seedling and flag leaves of rice provided an overview of the rice diurnal transcriptome and indicated some diurnal regulated biological processes and key functional pathways in rice. we generate rice diurnal gene expression profiles of seedling leaves and flag leaves using 57K Affymetrix rice whole genome array. keywords: rice (Oryza sativa L.), seedling leaves, flag leaves, diurnal, molecular functions, microarray

Project description:The Atss3 mutant and WT plants were arranged according to a Randomized Complete Block Design. The plants were planted in rows with seven rows in each flat; two plants of the same genotype/pot. Plants were grown under a SD photoperiod (8 h light/16 h dark) in a growth chamber as described. Eight randomly selected rows were harvested for each time point from different flats. Plant material was harvested at five time points in the diurnal cycle (1, 4, 8.5, 12, and 16 h; Time 0 is the beginning of the light period); harvesting was conducted under a green safety light. Each sample consisted of rosette leaves (leaves 5 to 8, staged following Bowmann (1994); photosynthetically active (Stessman et al., 2002)) from sixteen six-week-old plants. Leaf samples were frozen in liquid N2 immediately after harvest and stored at -80ï°C for RNA extraction. The experiment was done twice and independent randomizations for plant growth and harvest were used for the two replicates. Experiment Overall Design: The Atss3 mutant and WT plants were arranged according to a Randomized Complete Block Design. The plants were planted in rows with seven rows in each flat; two plants of the same genotype/pot. Plants were grown under a SD photoperiod (8 h light/16 h dark) in a growth chamber as described. Eight randomly selected rows were harvested for each time point from different flats. Plant material was harvested at five time points in the diurnal cycle (1, 4, 8.5, 12, and 16 h; Time 0 is the beginning of the light period); harvesting was conducted under a green safety light. Each sample consisted of rosette leaves (leaves 5 to 8, staged following Bowmann (1994); photosynthetically active (Stessman et al., 2002)) from sixteen six-week-old plants. Leaf samples were frozen in liquid N2 immediately after harvest and stored at -80ï°C for RNA extraction. The experiment was done twice and independent randomizations for plant growth and harvest were used for the two replicates.

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GNPS Raw datas_Roses_leaves-flowers_night vs day

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