Energy extraction from air: structural basis of atmospheric hydrogen oxidation
Bibliographic record
Abstract
Abstract Diverse aerobic bacteria use atmospheric H 2 as an energy source for growth and survival. This recently discovered yet globally significant process regulates the composition of the atmosphere, enhances soil biodiversity, and drives primary production in certain extreme environments. Atmospheric H 2 oxidation has been attributed to still uncharacterised members of the [NiFe]-hydrogenase superfamily. However, it is unresolved how these enzymes overcome the extraordinary catalytic challenge of selectively oxidizing picomolar levels of H 2 amid ambient levels of the catalytic poison O 2 , and how the derived electrons are transferred to the respiratory chain. Here we determined the 1.52 Å resolution CryoEM structure of the mycobacterial hydrogenase Huc and investigated its mechanism by integrating kinetics, electrochemistry, spectroscopy, mass spectrometry, and molecular dynamics simulations. Purified Huc is an oxygen-insensitive enzyme that couples the oxidation of atmospheric H 2 at its large subunit to the hydrogenation of the respiratory electron carrier menaquinone at its small subunit. The enzyme uses a narrow hydrophobic gas channel to selectively bind atmospheric H 2 at the expense of O 2 , while three [3Fe-4S] clusters and their unusual ligation by a D-histidine modulate the electrochemical properties of the enzyme such that atmospheric H 2 oxidation is energetically feasible. Huc forms an 833 kDa complex composed of an octamer of catalytic subunits around a membrane-associated central stalk, which extracts and transports menaquinone a remarkable 94 Å from the membrane, enabling its reduction. These findings provide a mechanistic basis for the biogeochemically and ecologically critical process of atmospheric H 2 oxidation. Through the first characterisation of a group 2 [NiFe]-hydrogenase, we also uncover a novel mode of energy coupling dependent on long-range quinone transport and pave way for the development of biocatalysts that oxidize H 2 in ambient air.
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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) | 0.002 | 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".