Characterization of a <i>Dehalobacter</i> Coculture That Dechlorinates 1,2-Dichloroethane to Ethene and Identification of the Putative Reductive Dehalogenase Gene
Bibliographic record
Abstract
Dehalobacter and "Dehalococcoides" spp. were previously shown to be involved in the biotransformation of 1,1,2-trichloroethane (1,1,2-TCA) and 1,2-dichloroethane (1,2-DCA) to ethene in a mixed anaerobic enrichment culture. Here we report the further enrichment and characterization of a Dehalobacter sp. from this mixed culture in coculture with an Acetobacterium sp. Through a series of serial transfers and dilutions with acetate, H(2), and 1,2-DCA, a stable coculture of Acetobacterium and Dehalobacter spp. was obtained, where Dehalobacter grew during dechlorination. The isolated Acetobacterium strain did not dechlorinate 1,2-DCA. Quantitative PCR with specific primers showed that Dehalobacter cells did not grow in the absence of a chlorinated electron acceptor and that the growth yield with 1,2-DCA was 6.9 (+/-0.7) x 10(7) 16S rRNA gene copies/mumol 1,2-DCA degraded. PCR with degenerate primers targeting reductive dehalogenase genes detected three distinct Dehalobacter/Desulfitobacterium-type sequences in the mixed-parent culture, but only one of these was present in the 1,2-DCA-H(2) coculture. Reverse transcriptase PCR revealed the transcription of this dehalogenase gene specifically during the dechlorination of 1,2-DCA. The 1,2-DCA-H(2) coculture could dechlorinate 1,2-DCA but not 1,1,2-TCA, nor could it dechlorinate chlorinated ethenes. As a collective, the genus Dehalobacter has been show to dechlorinate many diverse compounds, but individual species seem to each have a narrow substrate range.
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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) | 0.000 | 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".