A class I chitinase from soybean seed coat
Bibliographic record
Abstract
Protein extracts from soybean (Glycine max [L.] Merr) seed hulls were fractionated by isoelectric focusing and SDS-PAGE analysis and components identified by peptide microsequencing. An abundant 32 kDa protein possessed an N-terminal cysteine-rich hevein domain present in class I chitinases and in other chitin-binding proteins. The protein could be purified from seed coats by single step binding to a chitin bead matrix and displayed chitinase activity by an electrophoretic zymogram assay. The corresponding cDNA and genomic clones for the chitinase protein were isolated and characterized, and the expression pattern determined by RNA blot analysis. The deduced peptide sequence of 320 amino acids included an N-terminal signal peptide and conserved chitin-binding and catalytic domains interspaced by a proline hinge. An 11.3 kb EcoRI genomic fragment bearing the 2.4 kb chitinase gene was fully sequenced. The gene contained two introns and was flanked by A+T-rich tracts. Analysis by DNA blot hybridization showed that this is a single or low copy gene in the soybean genome. The chitinase is expressed late in seed development, with particularly high expression in the seed coat. Expression was also evident in the late stages of development of the pod, root, leaf, and embryo, and in tissues responding to pathogen infection. This study further illustrates the differences in protein composition of the various seed tissues and demonstrates that defence-related proteins are prevalent in the seed coat.
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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) | 0.002 | 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".