CAPS markers specific to E<sup>b</sup>, E<sup>e</sup>, and R genomes in the tribe Triticeae
Bibliographic record
Abstract
Wild Triticeae grasses serve as important gene pools for forage and cereal crops. Understanding their genome compositions is pivotal for efficient use of this vast gene pool in germplasm-enhancement programs. Several cleaved amplified polymorphic sequence (CAPS) markers were developed to distinguish the Eb, Ee, and R genomes. With the aid of disomic addition lines of wheat, it was confirmed that all 7 chromosomes of Eb, Ee, and R genomes carry these genome-specific CAPS markers. Thus, the identified CAPS markers are useful in detecting and monitoring the chromosomes of these 3 genomes. This study also provides evidence suggesting that some Purdue and Chinese germplasm lines developed for barley yellow dwarf virus (BYDV) resistance are different from those developed in Australia. Furthermore, Thinopyrum intermedium and Thinopyrum ponticum were shown to have different genome constitutions. Sequence analyses of the 1272 bp sequences, containing Ty3/gypsy retrotransposons, from the Eb, Ee, and R genomes also shed light on the evolution of these 3 genomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".