Characterization of new fungal carbohydrate esterase family 1 proteins leads to the discovery of two novel dual feruloyl/acetyl xylan esterases
Bibliographic record
Abstract
Abstract Background Feruloyl esterases (FAEs) and acetyl xylan esterases (AXEs) are important accessory enzymes in the deconstruction of plant biomass. Carbohydrate Esterase family 1 (CE1) of the Carbohydrate-Active enZymes database contains both fungal FAEs and AXEs, sharing a high amino acid sequence similarity, even though they target different structural molecules on plant cell wall polysaccharides. Results We recently classified fungal CE1 into five subfamilies (CE1_SF1-5). In this study, ten novel fungal CE1 enzymes from different subfamilies were heterologously produced in Aspergillus niger and characterized to gain insight on relationships among these esterases. The enzymes from CE1_SF1 possess AXE activity, as they hydrolyzed p NP-acetate and released acetic acid from wheat arabinoxylan, but were not active towards FAE substrates. CE1_SF5 showed FAE activity as they hydrolyzed methyl ferulate and other FAE related substrates, and release ferulic acid from wheat arabinoxylan. These FAEs preferred feruloylated arabinoxylan over pectin. Two CE1_SF2, sharing over 70% amino acid sequence identity, possessed the opposite activity. Interestingly, one enzyme from CE1_SF1 and one from CE1_SF5 possess dual feruloyl/acetyl xylan esterase (FXE) activity. These dual activity enzymes showed expansion of substrate specificity. Conclusions The new FXEs from CE1 can efficiently release both ferulic acid and acetic acid from feruloylated xylan, making them particularly interesting novel components of industrial enzyme cocktails for plant biomass degradation.
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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) | 0.001 | 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) | 0.001 | 0.001 |
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".