Structural and Biochemical Insights into Lignin-Oxidizing Activity of Bacterial Peroxidases against Soluble Substrates and Kraft Lignin
Bibliographic record
Abstract
Great interest has recently been drawn to the production of value-added products from lignin; however, its recalcitrance and high chemical complexity have made this challenging. Dye-decolorizing peroxidases and catalase-peroxidases are among the enzymes that are recognized to play important roles in environmental lignin oxidation. However, bacterial lignin-oxidizing enzymes remain less characterized compared to related proteins from fungi. In this study, screening of 18 purified bacterial peroxidases against the general chromogenic substrate 2,2′-azinobis(3-ethylbenzthiazoline-6-sulfonate) (ABTS) revealed the presence of peroxidase activity in all proteins. Agarose plate-based screens with kraft lignin identified detectable and high lignin oxidation activity in 15 purified proteins. Crystal structures were determined for the DyP-type peroxidases FC2591 from Frankia casuarinae, PF3257 from Pseudomonas fluorescens, and PR9465 from Pseudomonas rhizosphaerae . The structures revealed the presence of hemes with bound oxygens coordinated by conserved His, Arg, and Asp residues as well as three molecular tunnels connecting the heme with the protein surface. Structure-based site-directed mutagenesis of FC2591 identified at least five active site residues as essential for oxidase activity against both ABTS and lignin, whereas the S370A mutant protein showed a three- to 4-fold activity increase with both substrates. HPLC analysis of reaction products of the wild-type FC2591 and S370A mutant proteins with the model lignin dimer guaiacylglycerol-β-guaiacyl ether and kraft lignin revealed the formation of products consistent with the radical coupling of the reaction intermediates. Thus, this study identified novel bacterial heme peroxidases with lignin oxidation activity and provided further insights into our understanding of these enzymes.
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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".