A <i>Dehalogenimonas</i> Population Respires 1,2,4-Trichlorobenzene and Dichlorobenzenes
Why this work is in the frame
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Bibliographic record
Abstract
Chlorobenzenes are ubiquitous contaminants in groundwater and soil at many industrial sites. Previously, we demonstrated the natural attenuation of chlorobenzenes and benzene at a contaminated site inferred from a 5 year site investigation and parallel laboratory microcosm studies. To identify the microbes responsible for the observed dechlorination of chlorobenzenes, the microbial community was surveyed using 16S rRNA gene amplicon sequencing. Members of the Dehalobacter and Dehalococcoides are reported to respire chlorobenzenes; however, neither were abundant in our sediment microcosms. Instead, we observed a significant increase in the relative abundance of Dehalogenimonas from <1% to 16–30% during dechlorination of 1,2,4-trichlorobenzene (TCB), 1,2-dichlorobenzene (DCB), and 1,3-DCB over 19 months. Quantitative PCR (qPCR) confirmed that Dehalogenimonas gene copies increased by 2 orders of magnitude with an average yield of 3.6 ± 2.3 g cells per mol Cl – released ( N = 12). In transfer cultures derived from sediment microcosms, dechlorination of 1,4-DCB and monochlorobenzene (MCB) was carried out by Dehalobacter spp. with a growth yield of 3.0 ± 2.1 g cells per mol Cl – released ( N = 5). Here we show that a Dehalogenimonas population respire 1,2,4-TCB and 1,2-/1,3-DCB isomers. This finding emphasizes the need to monitor a broader spectrum of organohalide-respiring bacteria, including Dehalogenimonas, at sites contaminated with halogenated organic compounds.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| 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 it