Qualitative and Quantitative Polymerase Chain Reaction Assays for an Alfalfa (<i>Medicago sativa</i>)-Specific Reference Gene To Use in Monitoring Transgenic Cultivars
Bibliographic record
Abstract
Genetically modified (GM) alfalfa (Medicago sativa) was marketed for the first time in 2005. For countries with established thresholds for GM plants, methods to detect and quantify their adventitious presence are required. We selected acetyl CoA carboxylase as a reference gene for the detection and quantification of GM alfalfa. Two qualitative polymerase chain reaction (PCR) assays (Acc1 and Acc2) were designed to detect alfalfa. Both were specific to alfalfa, amplifying DNA from 12 separate cultivars and showing negative results for PCR of 15 nonalfalfa plants. The limits of detection for Acc1 and Acc2 were 0.2 and 0.01%, respectively. A quantitative real-time PCR assay was also designed, having high linearity (r > 0.99) over alfalfa standard concentrations ranging from 100 to 2.0 x 10(5) pg of alfalfa DNA per PCR. The real-time PCR assay was effective in quantifying alfalfa DNA from forage- and concentrate-based mixed diets containing different amounts of alfalfa meal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".