Effect of the Leaf Litter of Transgenic <i>Populus Simonii P. nigra</i> on the Soil Microbial Community and Horizontal Transfer Possibility of the Foreign Gene
Bibliographic record
Abstract
To study the potential influence of transgenic Populus simonii×P. nigra on the soil microbial community composition and horizontal exogenous gene transfer, fresh transgenic leaves were treated in broadleaf and coniferous forest soil for 6 months in the laboratory. The results showed that DNA fragments of the target and marker genes were completely degraded before 120 days. The dominant colony is the bacterium whose number is much more than that of other microbes under the same treatment. The number of cultivable bacteria treated by transgenic litters was significantly higher than the number treated by non-transgenic litters in selective medium with kanamycin. The target gene in the entophytic and soil bacteria, with 1.92% and 3.08% PCR-positive results, was found only in broadleaf forest soil. This result showed a certain possibility of horizontal gene transfer from the transgenic poplar to soil bacteria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".