A glycerol oxidase from Norway spruce ( <i>Picea abies</i> L. Karst.) expands biochemical and structural attributes of the GMC oxidoreductase superfamily
Bibliographic record
Abstract
Summary Investigations to uncover the versatility of carbohydrate active enzymes belonging to the auxiliary activity family 3 (AA3) have focused on microbial enzymes. Plant genomes also harbor AA3 encoding genes, and reverse genetics approaches have shown their importance in plant development. To date, however, detailed biochemical characterizations and structures of plant AA3 enzymes have not been reported. Here, we describe screening AA3 encoding genes from Norway spruce and the first in-depth biochemical and structural characterization of a plant AA3 oxidase, Pa AOX1. Pa AOX1 was crystallized, and the structure was solved by X-ray crystallography. Pa AOX1 demonstrated highest oxidase activity against glycerol. It oxidized glycerol to glyceraldehyde, then further to glyceric acid, and showed preference for L-glyceraldehyde over D-glyceraldehyde. Despite the low sequence similarity with fungal alcohol oxidases, it had all the structural features of the typical AA3 enzyme. PaAOX1 has a novel activity among the characterized AA3s, and it showed a new structural arrangement of the region surrounding the catalytic center. Our findings contribute to a deeper understanding of the structural and functional aspects of enzymes in the GMC superfamily, and especially of alcohol oxidases, expanding the knowledge from fungi to plants.
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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) | 0.000 | 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".