DNA-based and culture-based characterization of a hydrocarbon-degrading consortium enriched from Arctic soil
Bibliographic record
Abstract
A hydrocarbon-degrading consortium was enriched from fuel-contaminated soil from the northeastern tip of Ellesmere Island (82 degrees 30'N, 62 degrees 19'W). The enrichment culture was grown on Jet A-1 fuel at 7 degrees C. Bacterial 16S RNA gene (rDNA) fragments were amplified by polymerase chain reaction (PCR) from members of the above consortium and cloned into a plasmid vector. Partial sequences (approximately 500 bp) were determined for 29 randomly selected rDNA clones. The majority of sequences were most similar to the corresponding rDNA sequences of Rhodococcus erythropolis (15 sequences), Sphingomonas spp. (six sequences), and Pseudomonas synxantha (four sequences). Amplified ribosomal DNA restriction analysis confirmed that a larger set of 50 clones had frequencies of the three phylotypes similar to those above. Phylotype-specific PCR assays were developed and validated for the above three phylotypes. The consortium was plated and grown on Jet A-1 fuel vapors, and randomly selected isolated colonies were screened with the above PCR assays. Of 17 colonies, six matched the Rhodococcus phylotype, and three matched the Pseudomonas phylotype. A representative strain of each phylotype was physiologically characterized. Both isolates grew on alkanes at low temperature and had general characteristics consistent with their respective phylotypes. During growth of the consortium, the three phylotype populations were monitored by a most probable number PCR assay. All three phylotypes were detected, but their relative abundance was not consistent with that of the phylotypes in the clone library. The relative abundance of all three phylotypes changed substantially during long-term incubation of the consortium. The DNA-based approach used identified phylotypes consistently present in the consortium, but it failed to predict the relative abundance of their populations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".