Project description:Under natural conditions, plants experience episodes of drought for periods of days or longer. Plants respond to drought stress by reconfiguring their transcriptome activity. Transcriptome changes in response to drought are dynamic, and are likely to be shaped by mitigating factors such as diel signals. To gain insights into the dynamics of transcriptome reconfiguration in response to gradual soil drying, the drought-induced transcriptomes of Arabidopsis thaliana were examined at four time points over a single diel period – midday, late day, midnight, and pre-dawn. A core set of genes was identified that was responsive to drought, independent of the time of day at which they were measured. Strikingly, the magnitude of the drought-induced changes for these genes varied in a time-of-day-dependent manner. An additional set of time-of-day-specific drought-responsive genes were also identified. The diurnal patterns of transcript accumulation for these genes was strongly influenced by drought stress. This study indicates that analysis of a single time point would miss suites of drought-responsive genes that are revealed through assessment of the dynamics of diurnal changes, emphasizing the value of characterizing multiple time-of-day-specific drought transcriptomes.
Project description:Under natural conditions, plants experience episodes of drought for periods of days or longer. Plants respond to drought stress by reconfiguring their transcriptome activity. Transcriptome changes in response to drought are dynamic, and are likely to be shaped by mitigating factors such as diel signals. To gain insights into the dynamics of transcriptome reconfiguration in response to gradual soil drying, the drought-induced transcriptomes of Arabidopsis thaliana were examined at four time points over a single diel period â midday, late day, midnight, and pre-dawn. A core set of genes was identified that was responsive to drought, independent of the time of day at which they were measured. Strikingly, the magnitude of the drought-induced changes for these genes varied in a time-of-day-dependent manner. An additional set of time-of-day-specific drought-responsive genes were also identified. The diurnal patterns of transcript accumulation for these genes was strongly influenced by drought stress. This study indicates that analysis of a single time point would miss suites of drought-responsive genes that are revealed through assessment of the dynamics of diurnal changes, emphasizing the value of characterizing multiple time-of-day-specific drought transcriptomes. 24 arrays total. 4 time points (midday, late day, midnight, pre-dawn). 2 water regimes (well-watered, water-limited). 3 biological replicates per treatment.
Project description:Photoperiod is a circannual signal measured by biological systems to align growth and reproduction with the seasons. To understand the effect of photoperiod of gene expression in Arabidopsis thaliana in the absence of exogenous sugar under constant light intensity, we performed time course mRNA-seq analysis on 13-day old seedlings across three photoperiods with triplicates to identify photoperiod-regulated genes.
Project description:Here we use bisulfite conversion of RNA combined with high-throughput IIlumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites in ribosomal RNAs of all three sub-cellular transcriptomes in Arabidopsis thaliana. m5C sites in rRNAs were also anlyzed in Arabidopsis T-DNA knockouts for the RNA methyltransferases TRM4A, TRM4B, TRDMT1, NSUN5, NOP2A, NOP2B and NOP2C.
Project description:Water use efficiency has long been considered as an important target for the breeding of improved plant performance under drought. Minimizing leaf transpirational water loss via reduction of stomatal water conductance plays a key contributory role in drought resistance. In this study, we employed both guard cell (GC) targeted and constitutive ectopic overexpression of the Target of Rapamycin (TOR) kinase, a master regulator of multiple signaling networks in transgenic Arabidopsis thaliana, to investigate the impact of these expressed AtTOR transgenes in response to drought and water use efficiency. We performed genome-wide transcriptome analysis employing RNA-seq on the three Arabidopsis genotypes grown on the three water treatments, and further analysis will be used to elucidate the potential mechanism(s) contributing to differences in leaf stomatal physiology between WT and transgenic lines.