Visualization of Syntrophic Benzene-Fermenting <i>Desulfobacterota</i> ORM2 in a Methanogenic Enrichment Culture Using Fluorescence In Situ Hybridization
Bibliographic record
Abstract
Abstract Benzene degradation under anoxic conditions was first reported more than 25 years ago; however, the activation mechanism in the absence of oxygen remains elusive. Progress has been hindered by the difficulty in cultivating anaerobic benzene-degrading enrichment cultures. Our laboratory has sustained a methanogenic enrichment culture harboring Desulfobacterota ORM2, a benzene fermenter distinct from any known genus but related to other known or predicted benzene degraders. ORM2’s slow doubling time (∼30 days) and extended lag phase after inoculation complicate its study. We developed a fluorescent in situ hybridization (FISH) probe for ORM2, revealing rod-shaped cells of variable length that tend to cluster with other organisms, particularly methanogens. Microscopy and genomic evidence suggest that ORM2 may produce extracellular polymeric substances, facilitating cell aggregation and possibly consuming energy that contributes to the lag phase. Interestingly, higher benzene concentrations (90–120 mg/L) appeared to reduce cell aggregation. This study visualized the cells of Desulfobacterota ORM2 within a methanogenic community, offering insights into spatial organization and potential strategies to enhance its growth rate.
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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) | 0.000 | 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 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".