Characterization of high‐molecular‐weight glutenin subunit genes from<i>Elytrigia elongata</i>
Bibliographic record
Abstract
Abstract Three high‐molecular‐weight glutenin subunit (HMW‐GS) genes from Elytrigia elongata (Host) Nevski were characterized by determining the coding sequences of two x‐type subunit genes Ee2.1 and Ee1.9 , and one y‐type subunit gene Ee1.8 with 2082, 1938 and 1788 bp, respectively. The numbers of amino acids in the central repeat domains of Ee2.1, Ee1.9 and Ee1.8 were considerably fewer than the other known HMW‐GSs with substitutions, insertions and/or deletions involving a single or more amino acid residues. Moreover, an extra cysteine (Cys) was found in the repeated domain of x‐type subunit Ee2.1. The difference in the number and position of Cys residues might be associated with the good dough quality. The extra Cys in the good‐quality subunit Dx5 was at the beginning of the repetitive domain, while the extra Cys in Ee2.1 was at the central repetitive domain. Evolutionary relationships between the HMW‐GSs from E. elongata and the known HMW‐GSs were estimated. It transpired that Ee1.9, Ee2.1 and Bx7 were clustered into one subgroup with high bootstrap values, while Ee1.8 was closely related to Ay.
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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".