Simultaneous over‐expressing of an acyl‐<scp>ACP</scp> thioesterase (<scp>F</scp>at<scp>B</scp>) and silencing of acyl‐acyl carrier protein desaturase by artificial micro<scp>RNA</scp>s increases saturated fatty acid levels in <scp><i>B</i></scp><i>rassica napus</i> seeds
Bibliographic record
Abstract
Summary No temperate oilseeds crops are available that produce oil with a high saturated fatty acid content. To achieve such a profile, Brassica napus cv. DH12075 was engineered by simultaneous seed‐specific over‐expression of a native fatty acyl‐ACP thioesterase B [BnFatB(2)] and artificial microRNA‐mediated down‐regulation of eight endogenous genes encoding putative stearoyl‐ACP desaturases (BnSADs). Semi‐quantitative RT‐PCR analysis of transformed lines showed that the BnFatB(2) gene was highly over‐expressed and the eight putative SAD genes were strongly down‐regulated in developing seed demonstrating the successful application of microRNA as a tool for down‐regulation of genes in the allotetraploid plant B. napus. Analysis of seed triacylglycerol (TAG) composition revealed that all lines contained high levels of palmitic acid (16:0) and moderately increased levels of stearic acid (18:0). Total saturated fatty acid content was increased from 7.4% in the control to 37.3–45.6% in the transformed lines, with FatB over‐expression as the dominant trait. A twofold increase in 16:0 was observed in seed polar lipids. The melting point of oil from mature seeds was increased from −10 °C in DH12075 to 15 °C in the line with the highest saturated fatty acid content. TAG composition showed a shift from predominantly C54 TAG to C50 and C52 TAGs enriched in palmitic acid. Seedling establishment at low temperature was compromised in lines with high saturated fatty acid content. Results suggested that transcript encoding stearoyl‐ACP desaturase in developing B. napus seeds is present in considerable excess of the level required for efficient desaturation of 18:0.
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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".