Hydrocarbon-degrading genes in root endophytic communities on oil sands reclamation covers
Bibliographic record
Abstract
In response to environmental regulations, the Canadian oil sands industry aims to reclaim all disturbed areas to equivalent land capability prior to mining operations. However, tailing sands used in reclamation contain residual hydrocarbons and plants growing in these areas may rely on hydrocarbon-degrading endophytic bacteria to survive. This study assessed the hydrocarbon-degrading potential (genes: CYP153, alkB and nah) of culturable and unculturable endophytic bacteria associated with annual barley (Hordeum vulgare) and sweet clover (Melilotus albus) plants in an oil sands reclamation area. Our results suggest higher CYP153 gene copy numbers in sweet clover when compared to barley. Yet, no significant differences were detected in 16S rRNA, alkB and nah genes. In addition, total hydrocarbons, pH, total soil carbon, organic carbon and total nitrogen play an important role in determining hydrocarbon-degrading potential in these communities. The assessment of culturable hydrocarbon-degrading bacteria revealed 42 isolates (total of 316) that were positive for at least one hydrocarbon-degrading gene. Most of these isolates were positive for alkB, and closely match the database for Pantoea, Pseudomonas and Enterobacter spp. Thus, to improve oil sands reclamation strategies, plant inoculation with select hydrocarbon-degrading endophytes could be used to increase plant tolerance and hydrocarbon degradation in these areas.
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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 | 0.000 | 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 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".