<xhtml:span xmlns:xhtml="http://www.w3.org/1999/xhtml" xml:lang="en">Anaerobic HgII&#160;reduction is driven by cellular HgII-thiol interactions</xhtml:span>
Bibliographic record
Abstract
Redox reactions determine the availability of mercury species, HgII and Hg0, to anaerobic microbes responsible for the methylation of inorganic Hg into toxic methylmercury. Certain anaerobes also play an important role in Hg cycling in methylation hot spots by reducing HgII to its gaseous elemental form Hg0, yet their contributions remain unquantified due to a paucity of mechanistic information or genetic targets. In this work, we sought to uncover further mechanistic details on anaerobic HgII reduction by the versatile anoxygenic photoheterotroph and fermenter Heliomicrobium modesticaldumIce1. Due to HgII’s electrophilic attraction to thiols, we hypothesized that cellular thiol groups are likely interaction sites involved in HgII reduction. We exposed H. modesticaldum to the thiol-alkylating agent N-ethylmaleimide to irreversibly bind to thiols and found a concentration-dependent inhibition of Hg0 production during anoxygenic photoheterotrophy and fermentation. We propose updated insights into Heliobacterial HgII reduction where HgII-thiol interactions are a key step of the mechanism and discuss potential enzymatic coupling sites that merit further investigation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.210 | 0.123 |
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".