Exploration of members of<i>Aspergillus</i>sections<i>Nigri</i>,<i>Flavi</i>, and<i>Terrei</i>for feruloyl esterase production
Bibliographic record
Abstract
The ability of members of Aspergillus sections Nigri, Flavi, and Terrei to produce feruloyl esterases was studied according to their substrate specificity against synthetic methyl esters of hydroxycinnamic acids. Type A feruloyl esterases (FAEA), induced during growth on cereal-derived products, show a preference for the phenolic moiety of substrates that contain methoxy substitutions, as found in methyl sinapinate, whereas type B feruloyl esterases (FAEB) show a preference for the phenolic moiety of substrates that contain hydroxyl substitutions, as occurs in methyl caffeate. All the strains of Aspergillus section Nigri (e.g., A. niger and A. foetidus) were able to produce feruloyl esterases with activity profiles similar to those reported for FAEA and FAEB of A. niger when grown on oat-spelt xylan and sugar beet pulp, respectively. The two genes encoding these proteins, faeA and faeB, were identified by Southern blot analysis. The strains of Aspergillus sections Flavi (e.g., A. flavus, A. flavo-furcatus, and A. tamarii) and Terrei (e.g., A. terreus) were able to produce type A and type B enzymes. faeA was revealed in genomic DNA of these strains, and FAEA was determined by immunodetection in cultures grown in oat-spelt xylan. In addition, type B enzymes, not related to faeB, were efficiently induced by oat-spelt xylan and exhibited very original activity profiles on sugar beet pulp. This work confirms that the members of the genus Aspergillus are good feruloyl esterase producers.
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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 | 0.001 | 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".