Fatty Acid Patterns of Genetically Modified Cry3Bb1 Expressing <i>Bt</i>-Maize MON88017 and Its Near-Isogenic Line
Bibliographic record
Abstract
Fatty acid (FA) profiles of the Bt-maize line MON88017 expressing the Cry3Bb1 protein and its near-isogenic line DKC5143 were examined. Plant compartments under study included leaves taken from different internodes and roots. Sample preparation involved pressurized liquid extraction (PLE) of the biomass, transmethylation of the extracted lipids to give fatty acid methyl esters (FAMEs), and finally GC-MS analysis. The essential quality parameters for the FA profiles included total FA and sum of saturated FA, as well as double-bond index (DBI). FA profiles of the roots--characterized by high concentrations of homomorphic FA including palmitic and stearic acid, along with low concentrations of polyunsaturated surrogates--revealed high similarity between the genetically modified and the near-isogenic line. In contrast, FA profiles of the leaves showed significant differences: higher total FA concentrations and higher DBI were observed for the near-isogenic line. This was overwhelmingly associated with lower concentrations of alpha-linolenic acid (18:3omega3,6,9ccc) in the genetically modified leaf samples. These differences were particularly pronounced for leaves taken from the fourth elongated, above-ground internode. Given the large reported variability in the population of maize lines, MON88017 and its near-isogenic line can be regarded as equivalent with regard to their fatty acid profiles, despite the differences observed for the leaves. Further experiments are needed to assess whether the genetic modification of Bt-maize plants might induce unintended effects with regard to FA profiles.
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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) | 0.001 | 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".