Isolation and characterization of a ferulic acid esterase (Fae1A) from the rumen fungus Anaeromyces mucronatus
Bibliographic record
Abstract
AIMS: A novel ferulic acid esterase gene from rumen fungus Anaeromyces mucronatus was cloned, heteroexpressed in Escherichia coli and characterized. METHODS AND RESULTS: A total of 30 clones exhibiting activity on α-naphthyl acetate (α-NA) were isolated from an A. mucronatus YE505 cDNA library. Sequence analysis revealed that these clones represented two esterase-coding sequences. The gene, fae1A, showed highest amino acid sequence identity to CE family 1 esterases from anaerobic micro-organisms such as Orpinomyces sp., Ruminococcus albus and Clostridium thermocellum. The gene comprised 828 nucleotides encoding a polypeptide of 275 amino acids. The coding sequence was cloned into the pET30a expression vector and overexpressed in E. coli BL21 (DE3). Gene product Fae1A was found to exhibit activity against a number of substrates including naphthyl fatty acid esters, p-nitrophenyl fatty acid esters and hydroxylcinnamic acid esters. CONCLUSIONS: Fae1A exhibited a lower K(m) and higher catalytic efficiency (k(cat) /K(m) ) on ferulic acid esters than on α-NA or p-nitrophenyl acetate, suggesting that it has a higher affinity for ethyl and methyl ferulate than for the acetyl esters. It releases ferulic acid and p-coumaric acid from barley straw. Activity of Fae1A was inhibited by the serine-specific protease inhibitor, phenylmethylsulfonyl fluoride, indicating that a serine residue plays a role in its activity. SIGNIFICANCE AND IMPACT OF THE STUDY: To our knowledge, this is the first report of characterization of carbohydrate esterase gene from the genus of Anaeromyces.
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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".