Biochemical Characterization and Molecular Cloning of an α-1,2-Fucosyltransferase That Catalyzes the Last Step of Cell Wall Xyloglucan Biosynthesis in Pea
Bibliographic record
Abstract
Pea microsomes contain an alpha-fucosyltransferase that incorporates fucose from GDP-fucose into xyloglucan, adding it preferentially to the 2-O-position of the galactosyl residue closest to the reducing end of the repeating subunit. This enzyme was solubilized with detergent and purified by affinity chromatography on GDP-hexanolamine-agarose followed by gel filtration. By utilizing peptide sequences obtained from the purified enzyme, a cDNA clone was isolated that encodes a 565-amino acid protein with a predicted molecular mass of 64 kDa and shows 62.3% identity to its Arabidopsis homolog. The purified transferase migrates at approximately 63 kDa by SDS-polyacrylamide gel electrophoresis but elutes from the gel filtration column as an active protein of higher molecular weight ( approximately 250 kDa), indicating that the active form is an oligomer. The enzyme is specific for xyloglucan and is inhibited by xyloglucan oligosaccharides and by the by-product GDP. The enzyme has a neutral pH optimum and does not require divalent ions. Kinetic analysis indicates that GDP-fucose and xyloglucan associate with the enzyme in a random order. N-Ethylmaleimide, a cysteine-specific modifying reagent, had little effect on activity, although several other amino acid-modifying reagents strongly inhibited activity.
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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 | 0.001 |
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".