Genetic Regulation of Fatty Acid Biosynthesis in <i>Brassica napus</i> Seeds Based on <i>FAE1</i> and <i>FAD2</i> Genes
Bibliographic record
Abstract
Fatty acid elongase 1 (FAE1) and delta-12 fatty acid desaturase 2 (FAD2) are two key enzymes in plant fatty acid biosynthesis pathway. Five different types of transgenic lines with identical genetic background were developed by single and double-expression regulation of the genes coding for these two key enzymes in the same Brassica napus variety CY2. Seeds of the five types of transgenic lines and the wild-type control, which were planted under the same environmental conditions, were analyzed and compared for fatty acid composition and oil content in the present study. The results showed that the contents of multiple fatty acids, such as oleic, linoleic, linolenic, eicosenoic and erucic acid, could be significantly altered by single and double regulation of the two genes. Particularly in the seeds in which the two endogenous target genes were simultaneously silenced, the oleic acid content was increased to 82.8% from 20.5% of CY2, and in the seeds with grain-specific expression of Arabidopsis thaliana FAE1 gene, the erucic acid content was raised to 60.2% from 43.9% of CY2. Compared with the wild-type control, the relative ratios of eighteen-carbon unsaturated fatty acids and the oleic desaturation proportion were all markedly changed in the five types of transgenic seeds. In addition, it was found that the seed oil content was improved by enhanced expression of FAE1 and decreased by silencing of FAE1 and FAD2 , suggesting that the synthesis and accumulation of seed oil would be influenced to a certain extent by genetic manipulation of the two key enzyme genes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".