Transgenic cotton plants with increased seed oleic acid content
Bibliographic record
Abstract
Abstract Cottonseed typically contains about 15% oleic acid. Here we report the development of transgenic cotton plants with higher seed oleic acid levels. Plants were generated by Agrobacterium‐mediated transformation. A binary vector was designed to suppress expression of the endogenous cottonseed †‐12 desaturase (fad2) by subcloning a mutant allele of a rapeseed fad2 gene downstream from a heterologous, seedspecific promoter (phaseolin). Fatty acid profiles of total seed lipids from 43 independent transgenic lines were analyzed by gas chromatography. Increased seed oleic acid content ranged from 21 to 30% (by weight) of total fatty acid content in 22 of the primary transformants. The increase in oleic acid content was at the expense of linoleic acid, consistent with reduced activity of cottonseed FAD2. Progeny of some lines yielded oleic acid content as high as 47% (three times that of standard cottonseed oil). Molecular analyses of nuclear DNA from transgenics confirmed the integration of the canola transgene into the cotton genome. Collectively, our results extend the metabolic engineering of vegetable oils to cottonseed and should provide the basis for the development of a family of novel cottonseed oils.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".