Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1141191 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30057436_1.fastq.gz | Fastqsanger.gz | |||
| SRR30057436_2.fastq.gz | Fastqsanger.gz | |||
| SRR30057437_1.fastq.gz | Fastqsanger.gz | |||
| SRR30057437_2.fastq.gz | Fastqsanger.gz | |||
| SRR30057438_1.fastq.gz | Fastqsanger.gz |
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Project description:Several reports have investigated the effects of future climate conditions on photosynthesis and biomass production in woody plants but none combining temperature and atmospheric CO2 concentration. We used grow chambers to expose Eucalyptus grandis and E. globulus seedlings to three temperature regimes (10-12°C - low temperature, 20-22°C - control temperature and 33-35°C - high temperature) combined with two CO2 concentration (390 ppm – normal and 700 ppm - high). After 35 days the stems were used for transcriptome (RNAseq) analysis aiming to understand changes in the expression of genes related with biosynthesis and remodeling of the cell wall, as well as genes related with carbon partitioning and hormonal regulation. E. globulus, a species adapted to low temperature, was more responsive to the treatments compared to E. grandis. The most relevant biological processes affected by the treatments were related to stress, secondary metabolism, hormonal response, and signaling. We also analyzed in depth all cell wall biopolymer synthetic genes and their regulation by innumerous transcriptional factors. There was an upregulation of ethylene and auxin biosynthetic genes in both species, but it was stronger under high and low temperature in E.globulus. Temperature was more effective to change cell wall biosynthetic genes than CO2 and CO2 stimulated lignin biosynthetic pathway. We also analyzed lignin composition and structure. There was an increase in F5H and COMT expression and the S/G ratio also increased under high CO2 in E.globulus. Thus, the species responded differently to treatments and stem composition and development was highly affected by temperature and CO2 concentration.
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Project description:High temperature influences plant development and can reduce crop yields. We used the Agilent Barley Gene Expression Microarray to identify high temperature responsive genes in cereals. In temperate cereals, such as wheat and barley, high temperature results in rapid progression through reproductive development in long-days but inhibits early stages of reproductive development in short-days. We examined the transcriptome of barley plants grown at two different temperatures, 15°C or 25°C, in either long or short-days. Under these conditions early reproductive development was accelerated by high temperature in long-days but inhibited by high temperature in short-days. To control for the effect of temperature on vegetative growth, plants were sampled at the same stage of vegetative development (leaf emergence) in all treatments. Transcriptome analysis identified genes that show changed transcript levels in response to daylength (long versus short-days), genes that show changed transcript levels in response to temperature (15°C versus 25°C), and small groups of genes that show changed transcript levels only in response to specific combinations of daylength and temperature. For example, genes that are upregulated only under long-days and high temperature: conditions in which early reproductive development proceeds rapidly. The temperature responsive genes identified here offer potential candidates for developmental regulators controlling the developmental response of cereal crops to high temperatures.
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Project description:Temperature is a critical environmental factor governing plant growth and development. The difference between day temperature (DT) and night temperature (NT), abbreviated as DIF, influences plant architecture. Subjecting plants to artificial DIF treatments is an effective strategy in ornamental horticulture. For example, negative DIF (when DT – NT < 0) generally inhibits stem elongation, resulting in dwarf plants. However, the mechanisms underlying stem growth regulation by DIF remains to be completely elucidated. In this study, we aimed to analyze the growth, transcriptome, and phytohormone profiles of tomato (Solanum lycopersicum) seedlings grown under different DIF treatments. Under positive DIF (when DT – NT > 0), in contrast to the control temperature (25°C/20°C, DT/NT), high temperature (30°C/25°C) increased stem length and thickness, as well as the number of xylem vessels. Conversely, compared with the positive high temperature DIF treatment (30°C/25°C), under negative DIF treatment (25°C/30°C) stem elongation was inhibited, but stem thickness and the number of xylem vessels were not affected. The negative DIF treatment decreased the expression of gibberellin (GA)-, auxin-, and cell wall-related genes in the epicotyl, as well as the concentrations of GAs and indole-3-acetic acid (IAA). The expression of these genes and concentrations of these hormones increased under high temperature compared to those under the control temperature positive DIF. Our results suggest that stem length in tomato seedlings is controlled by changes in GA and IAA biosynthesis in response to varying day and night temperatures.
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Project description:To better understand the effect of temperature on mycotoxin biosynthesis, RNA-Seq technology was used to profile the Aspergillus flavus transcriptome under different temperature conditions. This approachallowed us to quantify transcript abundance for over 80% of fungal genes including 1,153 genes that were differentially expressed at 30°C and 37°C. Wleven of the 55 secondary metabolite clusters were up-regulated at the lower temperature, including aflatoxin biosynthesis genes, which were among the most highly up-expressed genes. On average, transcript abundance for the 30 aflatoxin biosynthesis genes was 3,300 times greater at 30°C as compared to 37°C. The results are consistent with the view that high temperature negatively affects aflatoxin production by turning down transcription of the two key transcriptional regulators, aflR and aflS. Subtle changes in the expression levels of aflS to aflR appear to control transcription activation of the aflatoxin cluster.
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