Structural characterization of a soil viral auxiliary metabolic gene encoding a functional chitosanase
Bibliographic record
Abstract
Abstract Metagenomics is unearthing the previously hidden world of soil viruses1,2. Many soil viral sequences in metagenomes contain putative auxiliary metabolic genes (AMGs) that are not associated with viral replication. To date only one soil viral AMG has been expressed3 and none has a solved structure. Here, we aimed to establish that AMGs on soil viruses actually produce functional, active proteins. We focused on AMGs that potentially encode chitosanase enzymes that metabolize chitin – a common carbon polymer. Glycoside hydrolase family 75 viral chitosanase genes were identified from environmental metagenomes. Several of these were expressed and functionally screened. One expressed protein showing endo-chitosanase activity (V-Csn) was crystalized and structurally characterized at ultra-high resolution, thus representing the first structure of a soil viral AMG product. A structure for an inactive mutant with a bound substrate (chitosan oligomer) was also determined. Conserved active site residues in V-Csn resided in a cleft between two domains. These structures provided details about the active site, and together with structure models determined using AlphaFold2, facilitated understanding of substrate specificity and enzyme mechanism. These findings support the hypothesis that soil viruses contribute auxiliary functions to their hosts. Soil viral chitosanase AMG products that assist chitin decomposition may therefore play a previously unrecognized essential role in soil carbon cycling.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".