Project description:In order to circumvent environmental changes throughout fruit development, young and ripening berries were sampled simultaneously on continuously flowering microvines acclimated to controlled circadian light and temperature changes. Gene expression profiles along fruit development were monitored during both day and night with whole genome microarray Nimbelgen® vitis 12x, yielding a total number of 9273 developmentally modulated probesets. All day-detected transcripts were modulated at night, whereas 1755 genes were night-specific. Very similar developmental patterns of gene expression were observed upon independent hierarchical clustering of day and night data, whereas functional categories of allocated transcripts varied according to time of the day. Many transcripts within pathways, known to be upregulated during ripening, in particular those linked to secondary metabolism exhibited a clearer developmental regulation at night than during the day. Functional enrichment analysis also indicated that diurnally modulated genes considerably varied during fruit development, with a shift from cellular organization and photosynthesis in green berries to secondary metabolism and stress-related genes in ripening ones. These results reveal critical changes in gene expression during night development that differ from day development which have not been observed in other transcriptomic studies on fruit development so far.
Project description:The circadian rhythm is the most general and important rhythm in biological organisms. In this study, continuous 24 h video recordings showed that the cumulative movement distance and duration of the abalone, Haliotis discus hannai reached their maximum values between 20:00–00:00, but both were significantly lower between 08:00–12:00 than at any other time of day or night (P < 0.05). To investigate the causes of these diel differences in abalone movement behavior, their cerebral ganglia were harvested at 00:00 (group D) and 12:00 (group L) to screen for differentially expressed proteins using tandem mass tagging (TMT) quantitative proteomics. Seventy-five significantly different proteins were identified in group D vs. group L. Acetylcholinesterase (AChE) was found three times, and its expression levels differed significantly between day and night (P < 0.05). A cosine rhythm analysis found that the concentration of acetylcholine (Ach) and the expression levels of AchE tended to be low during the day and high at night, and high during the day and low at night, respectively.
Project description:To assess the consequences of IR deletion on gene expression using microarray and its contribution of IR to the control of nocturnal and diurnal liver activity, we analyzed liver gene expression during the day (ZT8), at day-night transition (ZT12) and at night (ZT16).
Project description:Biological processes are optimized by circadian and circannual biological timing systems. In vertebrates, the pineal gland plays an essential role in these systems by converting time into a hormonal signal, melatonin; in all vertebrates, circulating melatonin is elevated at night, independent of lifestyle. We have analyzed the rat pineal transcriptome at mid-day and mid-night to identify genes that exhibit night/day changes in expression. Keywords: Time course (2 points)
Project description:Tomato flowering and fruit set require an optimal temperature of 25/22 ± 2˚C (day/night). When the air temperature reaches to above the optimal range (higher than 30/26˚C; day/night), only a small number of flower buds would develop into mature flowers and produce a reduced number of pollen. This project used the iodoTMT proteomics analysis method to identify heat-induced proteomes in these tomato flower buds.
2022-03-03 | PXD012160 | Pride
Project description:Coral microbiome changes over the day-night cycle
Project description:The suprachiasmatic nucleus (SCN) encodes time of day through changes in daily firing, with neurons being generally more active during the day and more silent at night. However, molecular mechanisms by which the SCN encodes and times behavior are not fully understood. To identify factors that could encode day/night differences in activity we combined patch-clamp recordings and single-cell sequencing (Patch-RNAseq) of individual SCN neurons in mice.
