Diel and circadian gating of Arabidopsis thermotolerance and transcriptional response to heat stress.
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ABSTRACT:
PROVIDER: PRJNA488799 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7774140.fastq.gz | Fastqsanger.gz | |||
| SRR7774150.fastq.gz | Fastqsanger.gz | |||
| SRR7774141.fastq.gz | Fastqsanger.gz | |||
| SRR7774151.fastq.gz | Fastqsanger.gz | |||
| SRR7774142.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: To understand time of day variation in Arabidopsis heat shock responses. We have observed significant differences in terms of plant survivability in response to a heat shock across various times of day. Because of this, we believe that transcriptional responses may be a significant underlying factor which contributes to the observed physiology and surivability after heat stress. Methods: Whole plant tissue mRNA profiles in Col-0 Arabidopsis were generated by deep sequencing using Illumina HiSeq 2500. Tissue samples of four replicates were collected at two times of day (Dawn and Dusk, ZT0/ZT12) and were either control or heat stressed (30oC) for 1 hour. An additional 4 samples were collected in constant light conditions (single replicate) to quantify circadian effects. Sequence reads from each sample were mapped to the TAIR10 reference genome with Tophat2 and counts were obtained using Htseq-count. Differential expression analysis was done using DeSeq2 to calculate differential expression levels of each gene in the dataset. Results: We identified 5512 differentially expressed transcripts with our DESeq2 based data analysis pipeline that involves characterizing gene expression profiles based on basal expression level, time of differential expression, and direction of differential expression. An additional interaction term analysis revealed 572 genes which showe time of day dependent responses to heat stress, meaning the response to heat stress differs depending on the time of day that the heat stress is perceived by the plant. Downstream analysis using gene ontology analysis tools (Pantherdb.org) and Cytoscape revealed strong differences in terms of response happening in the AM and PM gene expression networks. The significance of this work is that it is the first study to show that there is a significant difference in terms of transcriptional responses to heat stress in Arabidopsis where the differences were quantified by levels of mRNA expression.
2019-02-01 | GSE119330 | GEO
Project description:Anopheles gambiae, the primary African malarial mosquito, exhibits numerous behaviors that are under diel and circadian control, including locomotor activity, swarming, mating, host seeking, eclosion, egg laying and sugar feeding. However, little has been performed to elucidate the molecular basis for these daily rhythms. To study how gene expression is globally regulated by diel and circadian mechanisms, we have undertaken a DNA microarray analysis of A. gambiae head and bodies under 12:12 light:dark cycle (LD) and constant dark (DD, free-running) conditions. Zeitgeber Time (ZT) with ZT12 defined as time of lights OFF under the light:dark cycle, and ZT0 defined as end of the dawn transition. Circadian Time (CT) with CT0 defined as subjective dawn, inferred from ZT0 of the previous light:dark cycle.
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Project description:The mosquito Ae. aegypti is responsible for the transmission of many diseases including yellow fever and Dengue fever. This species exhibits many behaviors that are under diel and circadian control. However, there has been little reporting on gene expression rhythmicity. To study how gene expression is globally regulated by diel and circadian mechanisms, we have undertaken a DNA microarray analysis of Ae. aegypti head and bodies under 12:12 light:dark cycle (LD) and constant dark (DD, free-running) conditions. Zeitgeber Time (ZT) with ZT12 defined as the initiation of the one hour dusk period under the light:dark cycle, and ZT0 defined as beginning of the one hour dawn period. Circadian Time (CT) with CT0 defined as subjective dawn, inferred from ZT0 of the previous light:dark cycle.
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Project description:Anopheles gambiae, the primary African malarial mosquito, exhibits numerous behaviors that are under diel and circadian control, including locomotor activity, swarming, mating, host seeking, eclosion, egg laying and sugar feeding. However, little has been performed to elucidate the molecular basis for these daily rhythms. To study how gene expression is globally regulated by diel and circadian mechanisms, we have undertaken a DNA microarray analysis of A. gambiae head and bodies under 12:12 light:dark cycle (LD) and constant dark (DD, free-running) conditions. Zeitgeber Time (ZT) with ZT12 defined as time of lights OFF under the light:dark cycle, and ZT0 defined as end of the dawn transition. Circadian Time (CT) with CT0 defined as subjective dawn, inferred from ZT0 of the previous light:dark cycle. Adult mated but non-blood fed female mosquito heads and bodies under 12:12 light:dark cycle (LD) and constant dark (DD) conditions were collected every 4 hr to generate 48 hr gene expression profiles, and samples were processed with Affymetrix full genome microarrays. Downstream analysis identified genes with ~24hr rhythmic expression profiles.
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Project description:During thermotolerance development, B. subtilis cells can be primed by a short mild heat shock to survive a subsequent severe, otherwise lethal, heat stress. We wanted to assess the influence of transcriptional regulation during thermotolerance development in B. subtilis. We prepared total RNA of four differently treated samples of B. subtilis cells. For this purpose, exponential B. subtilis cells grown at 37 °C were divided and exposed for additional 15 min to temperatures of 37 °C, 48 °C, 53 °C or 15 min 48 °C followed by 15 min at 53 °C.
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Project description:Thermotolerance is a crucial virulence attribute for Cryptococcus neoformans, which causes fatal fungal meningitis in humans. A protein kinase, Sch9, suppresses the thermotolerance of C. neoformans but its regulatory mechanism remains unknown. Here we elucidated the Sch9-dependent and -independent signaling networks for modulating the thermotolerance of C. neoformans through a genome-wide transcriptome analysis and reverse genetics approaches. We found that more than 1,800 genes were under transcriptional control during temperature upshift. Genes encoding for molecular chaperones and heat shock proteins were mainly upregulated, while those for translation, transcription, and sterol biosynthesis were highly suppressed. In this process Sch9 was found to regulate basal or induced expression levels of some temperature-responsive genes. Interestingly we found that Sch9 was involved in transcriptional regulation of the Ire1 kinase, which is a key sensor for the unfolded protein response pathway, and was found to be involved in ER stress response. Most notably, our data demonstrated that expression of HSF1, encoding a heat shock transcription factor 1, was downregulated during temperature upshift and Sch9 suppresses its downregulation. In spite of such expression patterns, Hsf1 was essential for growth and its overexpression indeed promoted the thermotolerance of C. neoformans, suggesting dual roles of Hsf1 in thermotolerance. This idea was supported by additional transcriptome analysis with HSF1 overexpression strain, which revealed that Hsf1 served as both activator and repressor. Hsf1 promoted genes such as Hsp104 and Hsp70 (Ssa1 and Ssa2), both of which were found to be highly upregulated during temperature upshift and required for thermotolerance, while Hsf1 repressed genes involved in oxidative stress and thermotolerance.
2015-06-01 | GSE66508 | GEO
Project description:Thermotolerance is a crucial virulence attribute for Cryptococcus neoformans, which causes fatal fungal meningitis in humans. A protein kinase, Sch9, suppresses the thermotolerance of C. neoformans but its regulatory mechanism remains unknown. Here we elucidated the Sch9-dependent and -independent signaling networks for modulating the thermotolerance of C. neoformans through a genome-wide transcriptome analysis and reverse genetics approaches. We found that more than 1,800 genes were under transcriptional control during temperature upshift. Genes encoding for molecular chaperones and heat shock proteins were mainly upregulated, while those for translation, transcription, and sterol biosynthesis were highly suppressed. In this process Sch9 was found to regulate basal or induced expression levels of some temperature-responsive genes. Interestingly we found that Sch9 was involved in transcriptional regulation of the Ire1 kinase, which is a key sensor for the unfolded protein response pathway, and was found to be involved in ER stress response. Most notably, our data demonstrated that expression of HSF1, encoding a heat shock transcription factor 1, was downregulated during temperature upshift and Sch9 suppresses its downregulation. In spite of such expression patterns, Hsf1 was essential for growth and its overexpression indeed promoted the thermotolerance of C. neoformans, suggesting dual roles of Hsf1 in thermotolerance. This idea was supported by additional transcriptome analysis with HSF1 overexpression strain, which revealed that Hsf1 served as both activator and repressor. Hsf1 promoted genes such as Hsp104 and Hsp70 (Ssa1 and Ssa2), both of which were found to be highly upregulated during temperature upshift and required for thermotolerance, while Hsf1 repressed genes involved in oxidative stress and thermotolerance.
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Project description:During thermotolerance development, B. subtilis cells can be primed by a short mild heat shock to survive a subsequent severe, otherwise lethal, heat stress. We wanted to assess the influence of transcriptional regulation during thermotolerance development in B. subtilis. We prepared total RNA of four differently treated samples of B. subtilis cells. For this purpose, exponential B. subtilis cells grown at 37 °C were divided and exposed for additional 15 min to temperatures of 37 °C, 48 °C, 53 °C or 15 min 48 °C followed by 15 min at 53 °C. Using four different merged dye swap experiments of red or green labelled cDNA of the above described RNA preparations, we compared and analyzed the transcriptional change of the conditions 48 °C vs. 53/48 °C (array 1), 37 °C vs. 53 °C (array 2), 37 °C vs. 48 °C (array 3) and especially 37/53°C vs. 53/48 °C (array 4)
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