Analysis of Transcriptome Response to Low Temperature Stress in <i>Mesembryanthemum</i> <i>crystallinum</i> Linn
Bibliographic record
Abstract
The second generation of high throughput sequencing technology was used to sequence ice plant under low temperature stress and to construct transcriptome database. 24.13 Gb of valid data and 24 045 annotations of Unigene were obtained. DEGs of 1 902 (T0 vs T1) and 2 134 (T0 vs T2) were obtained. Two groups of DEGs were classified into 40 and 41 functional small categories respectively by GO database and were obtained respectively 20 and 24 functional categories by KOG database and were annotated 55 and 272 genes by comparing DEGs with KEGG database, which were enriched in 74 and 105 metabolic pathways respectively. DEGs of T0 vs T1 group mainly annotated to 4 metabolic pathways; DEGs of T0 vs T2 group mainly annotated to 11 metabolic pathways. It was showed that there were the metabolic pathways of positive correlation: acetone alcohol biosynthesis, purine metabolism, glutathione metabolism, fatty acid metabolism, brass metabolism, amino acid biosynthesis and other metabolic pathways, and the metabolic pathways of negative correlation: plant-pathogen interaction, plant hormone signal transduction, starch and sucrose metabolism. The key genes of starch and sucrose metabolism pathway were analyzed: the expression of 5 key genes, such as trehalose 6-phosphate synthase, trehalose-6-phosphatase, beta-amylase, glucose-1-adenosine phosphate transferase and glycogen phosphorylase, were up-regulated, but down-regulated gene was not observed during T1 (1h) of low-temperature stress; Three key genes of trehalose-6-phosphosynthase, hexokinase and beta-amylase, were up-regulated and the glucolactone-1,3-beta-glucosidase gene was down-regulated under low temperature stress at T2(36h). Eight DEGs in starch and sucrose metabolism pathway were selected and analyzed by Quantitative Real-time PCR. The relative expression level of 8 DEGs was consistent with the transcriptome expression profile analysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".