Genetic characterization of cysteine-rich type-b avenin-like protein coding genes in common wheat
Bibliographic record
Abstract
The wheat avenin-like proteins (ALP) are considered atypical gluten constituents and have shown positive effects on dough properties revealed using a transgenic approach. However, to date the genetic architecture of ALP genes is unclear, making it impossible to be utilized in wheat breeding. In the current study, three genes of type-b ALPs were identified and mapped to chromosomes 7AS, 4AL and 7DS. The coding gene sequence of both TaALP-7A and TaALP-7D was 855 bp long, encoding two identical homologous 284 amino acid long proteins. TaALP-4A was 858 bp long, encoding a 285 amino acid protein variant. Three alleles were identified for TaALP-7A and four for TaALP-4A. TaALP-7A alleles were of two types: type-1, which includes TaALP-7A1 andTaALP-7A2, encodes mature proteins, while type-2, represented byTaALP-7A3, contains a stop codon in the coding region and thus does not encode a mature protein. Dough quality testing of 102 wheat cultivars established a highly significant association of the type-1 TaALP-7A allele with better wheat processing quality. This allelic effects were confirmed among a range of commercial wheat cultivars. Our research makes the ALP be the first of such genetic variation source that can be readily utilized in wheat breeding.
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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".