Evidence of diversity within the<i>SnRK1b</i>gene family of<i>Hordeum</i>species
Bibliographic record
Abstract
Adaptor-specific polymerase chain reaction (PCR) was used to amplify 3 different products, termed variant A, B, and C, from the seed-specific class (SnRK1b) of the sucrose nonfermenting-1-related protein kinase gene family (SnRK1) of different Hordeum species and cultivars of barley (Hordeum vulgare). Standard PCR or reverse transcription-PCR (RT-PCR) at a high temperature, using primers that differed by 1 or 2 nucleotides, was then used to amplify and clone 3 specific variants. One primer pair amplified a variant from I genome species suggesting that this could be a useful I-genome specific marker. The corresponding genes of the 3 variants (A, B, and C) were termed SnRK1b.1, 2, and 3, respectively. SnRK1b.1 and 2, showed 98% - 100% nucleotide sequence identity in the coding region, and 89% - 90% identity in the promoter region (up to 200 bp upstream of the translation start site, ATG). However, they differed in having insertions, deletions, and base pair changes at potentially important sites in the polymerase binding regions. SnRK1b.3 showed 90% nucleotide sequence identity with SnRK1b.1 in the coding region and 86% in the promoter region. This gene predominates in H-genome species within the genus Hordeum and could be a useful marker for this group.
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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 | 0.001 | 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) | 0.001 | 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".