Distribution of Dehalococcoides 16S rRNA and Dehalogenase Genes in Contaminated Sites
Bibliographic record
Abstract
Understanding the spatial distribution of Dehalococcoides and its reductive dehalogenase genes in sediment is important for bioremediation of sites contaminated with chlorinated ethylenes. A total of 56 sediment samples were collected from four contaminated sites in Japan, and quantified copies of Dehalococcoides 16S rRNA and reductive dehalogenase genes: tceA, bvcA, and vcrA, as well as chlorinated ethylenes. Dehalococcoides was detected from 22 sediment samples with various geological formations, textures and saturation conditions. The detected Dehalococcoides 16S rRNA gene ranged from 6.4 × 102 to 2.5 × 107 copies g−1. In the 22 samples, the dehalogenase genes: tceA, bvcA, and vcrA were contained 1.4 × 103 to 1.6 × 104, 1.0 × 103 to 2.0 × 105, and 2.7 × 102 to 8.5 × 105 copies g−1, respectively. Statistical analysis revealed that the distribution of dehalogenase genes depends on site and depth, but not existence of vinyl chloride. To estimate potential for bioremediation of contaminated sites, quantification of dehalogenase genes according to sediment depth is important and thus recommended.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".