Genetic characterization of a novel <i>Tib</i>-derived variant of soybean Kunitz trypsin inhibitor detected in wild soybean (<i>Glycine soja</i>)
Bibliographic record
Abstract
A novel variant of soybean Kunitz trypsin inhibitor (SKTI) was detected in 530 lines of wild soybean (Glycine soja). This variant showed an intermediate electrophoretic mobility between the Tia and Tic types. In isoelectric focusing polyacrylamide gel electrophoresis gels containing urea, this variant had a similar isoelectric point as that of Tia. The genetic analysis of SKTI bands in F2 seeds from crosses of the new variant type with Tia or Tic type showed that this variant type is controlled by a codominant allele at the SKTI locus. We propose the genetic symbol Tif for this novel variant. When the nucleotide sequence of the Tif gene was compared with those of other types of SKTI genes (Tia, Tib, and Tic), the sequence of Tif was identical to that of Tib with the exception of one A-->G transitional mutation occurring at position 676 of Tif. This mutation resulted in an amino acid change from Lys to Glu at the 178 residue. These results suggest that this variant is derived from Tib through a point mutation. In addition, we settled an inconsistency in the number of amino acid differences between Tia and Tib (eight or nine). Analysis of nucleotide and amino acid sequences revealed that Tib was different from Tia by nine amino acids.
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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 | 0.000 |
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".