Characterization of waxy proteins and<i>waxy</i>genes of<i>Triticum timopheevii</i>and<i>T. zhukovskyi</i>and implications for evolution of wheat
Bibliographic record
Abstract
The granule-bound starch (GBSS I, waxy protein) in Triticum timopheevii (AtAtGG) and T. zhukovskyi (AtAtAzAzGG) and a diagnostic section of the genes encoding GBSS-I from the Wx-TtA and Wx-G loci of T. timopheevii and the Wx-TtA, Wx-G, and Wx-TzA loci of T. zhukovskyi were investigated in this study. The waxy proteins in these two polyploid wheats could not be separated into distinct bands, in contrast to those in the T. turgidum (AABB)-T. aestivum (AABBDD) lineage. Alignment of sequences of the section covering exon4-intron4-exon5 of the various waxy genes led to the identification of gene-specific sequences in intron 4. The sequences specific to the Wx-TtA and Wx-G genes of T. timopheevii were different from those of the Wx-A1 gene and Wx-B1 genes of T. turgidum and T. aestivum. A surprising observation was that the Wx-TzA of T. zhukovskyi did not match with the Wx-TmA of T. monococcum, a putative donor of the Az genome, but matched unexpectedly and perfectly with the Wx-B1 gene on chromosome 4A, which is proposed to have translocated from the chromosome 7B of T. aestivum. The possible genetic mechanism explaining these observations is discussed.
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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".