Transciptome and Metabolomics Analysis of Pepper (Yin Chuan Cavel ) Male Sterility Lind
Bibliographic record
Abstract
In order to study the relation of different gene expression and Metabolomics difference of pepper (Yin Chuan Cavel) male sterility lind pollen abortion. The transciptiome was sequenced using RNA-seq technology, the metabolomics was tested by UPLC-MS/Ms. The result was analyzed by GO categories and KEGG enrichment analysis. A total of 3 319 different expression genes were successfully obained, include up genes 800, down genes 2 519. Of the 536 metabolites identified, a total of 102 metabolites were significantly differentiated. The differential metabolites involved up regulation metabolites 68, regulation metabolites 34. Included 17 amino acid derivatives, 16 Nucleotides and derivatives, 13 glyceryl ester, 10 sphingolipids, 8 flavonoids and phenolic acids, 6 in other classes (mainly related to carbohydrate metabolism). Differential metabolites and significant differential expression genes are mainly concentrated in protein related amino acid metabolism pathway and flavonoid metabolism pathway. The results showed that the significant differential expression of transcription genes, through the regulation of metabolism related enzymes, resulted in the differential metabolism of lipid, Phenolic acids and carbohydrate metabolites, resulted in pollen abortion of the Pepper (Yin Chuan Cavel) male sterile.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".