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:gnp07_regeneome_microdissectionbias - microdissection vs no microdissection - Transcriptome bias induce by protocols used in microdissection - To compare RNA from flowers and RNA from microdissected flowers to know bias induce by microdissection (dissection from all tissues were collected to have a representation of entire flower)
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 ability of Lactiplantibacillus plantarum LOC1 and LOC3, originally isolated from fresh tea leaves, to modulate the response of murine macrophages to the activation of Toll-like receptor 4 (TLR4) by the stimulation with lipopolysaccharide (LPS) was evaluated.
Project description:Measurement of gene expression over a diurnal timecourse in different tissues of N.tabacum. The primary aim of the collection of this data was to validate predicted gene models in the associated publication
Project description:Plants can cope with stress better if they experience a mild form of the stress before the actual \\"real\\" stress event. In Arabidopsis thaliana it is known that plants that harboured eggs of the White cabbage butterfly (Pieris brassicae) before larval feeding can defend better against the herbivore stress. The main aim of the experiment was to compare the priming effect induced by insect egg deposition of Pieris brassicae between vegetative and reproductive (first open flowers) Arabidopsis thaliana plants on the transcriptional level. We used a full factorial setup consisting of a) untreated control plants , b) plants which experienced eggs for 6 days without larval feeding after that period, c) plants which experienced no eggs before larval feeding for 24 hours d) plants which experienced eggs for 6 days and larval herbivory for 24 hours. This setup was conducted with 6 week old vegetative plants and 10 week old reproductive plants were the first flowers were open. For all treatments leaf tissue from the leaves that experienced egg oviposition and/or larval feeding were collected. From reproductive plants flower buds were collected as well.
Project description:The aim of this study was to examine the contribution of ARF6 and ARF8 to flower gene expression. Flowers from arf6 arf8 plants undergo a developmental arrest at approximately stage 12, just prior to flower opening. Flowers from wild-type, ARF6/arf6 arf8/arf8, and arf6 arf8 plants were separated into stage 1-10 flowers, stage 11+12 flowers, and stage 13-14 flowers to define the developmental stages at which ARF6 and ARF8 are required for gene expression. Keywords: comparison of wild type and arf6 arf8 mutants
Project description:In this study, global transcriptome profiling was performed for different organs of ICC 4958 (leaves, roots, flowers and young pod) and leaves of wild chickpea, PI 489777. More than 50 million high-quality reads were obtained from each sample using Illumina platform. A consensus reference-guided assembly was generated for the transcriptome data from all samples and gene expression was analysed.
Project description:Organogenesis in plants occurs during all stages of the life cycle. Although previous studies have identified many genes important for either vegetative or reproductive development at RNA level, global scale information of translational and post-translational regulatory levels is still limited. Here, six Arabidopsis stages/organs were analyzed using quantitative proteomics and phosphoproteomics, identifying 2,187 non-redundant proteins and 1,194 phosphoproteins. Compared to that in cauline leaves, expression of 1,445, 1,644, and 1,377 proteins showed greater than 1.5-fold alteration in stage 1-9 flowers, stage 10-12 flowers, and open flowers, respectively. In addition, 294 phosphoproteins with 472 phosphorylation sites were newly discovered, including 275 showing differential expression patterns, providing possible candidates for functional studies or molecular markers. In addition, more phosphorylated proteins were identified in reproductive stages (1,149) than in the vegetative process (995). 701 of the proteins differentially phosphorylated between flowers and leaves were predicted to localize to the nucleus, including 22 transcription factors. Moreover, phosphorylation of CDPK6 and MAPK6 and their interacting proteins, were enriched in reproductive tissues. Overall, our study yielded extensive data on protein expression and phosphorylation at six stages and provides an important resource for understanding regulatory mechanisms during plant development.