Sulfur oxidation through rDsr in a novel Sox-free marine Roseobacter lineage
Bibliographic record
Abstract
Abstract Sulfur oxidation drives nutrient and energy flow in marine sediments. Bacteria typically oxidize thiosulfate, a key sulfur intermediate, either through a complete Sox system or through an incomplete Sox system that feeds zero valent sulfur into the reverse dissimilatory sulfite reductase (rDsr) pathway. Whether rDsr alone can oxidize thiosulfate has been unclear. Here we show that ten intertidal Ruegeria strains carry a complete rDsr pathway but lack all sox genes. Under low oxygen (2% O 2 ) but not under air, thiosulfate activates the pathway, enhances growth, and is associated with accelerated nitrate reduction. Using a CRISPR base editing tool for Ruegeria , we demonstrate that disrupting dsrA , which encodes a subunit of the core rDsr enzyme, significantly delays thiosulfate consumption, suggesting that rDsr is actively involved in oxidation. Previous work only documented rDsr acting downstream of an incomplete Sox system; our results establish that a standalone rDsr pathway is sufficient for thiosulfate consumption under oxygen limitation and that this activity can feed electrons into the denitrification pathway. Metagenomic surveys show rDsr genes from this group are widespread in low oxygen marine environments, including coastal sediments where they account for up to 26% of all rDsr genes. These findings revise the view that thiosulfate oxidation depends on Sox and highlight rDsr’s ecological role in deoxygenated habitats.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".