The Physical Location of Stripe Rust Resistance Genes on Chromosome 6 of Rye (Secale cereale L.) AR106BONE
Bibliographic record
Abstract
It was reported that the chromosome 6R of rye (Secale cereale L.) carries stripe rust resistance gene Yr83, and the region with the candidate resistance gene(s) still needs to be narrowed down. This study confirmed that the chromosome 6RLAr derived from rye AR106BONE contains stripe rust resistance gene(s). A wheat-rye T6BS.6RLAr translocation chromosome, a wheat-rye small-segment translocation T6RLAr-6AS.6AL, and three kinds of deleted T6BS.6RLAr translocations, T6BS.6RLAr-1, T6BS.6RLAr-2, and T6BS.6RLAr-3, were identified. Translocations T6BS.6RLAr, T6BS.6RLAr-2, and T6RLAr-6AS.6AL were highly resistant to stripe rust and T6BS.6RLAr-1 and T6BS.6RLAr-3 were highly susceptible. The molecular markers specific to 6RL determined that the three regions of the 6RLAr arm from 732,999,830 bp to the telomere, from 735,010,030 to 848,010,414 bp, and from 848,011,262 bp to the telomere were deleted from T6BS.6RLAr-1, T6BS.6RLAr-2, and T6BS.6RLAr-3, respectively. T6BS.6RLAr-2 and T6RLAr-6AS.6AL contained the segment that was deleted in T6BS.6RLAr-3. Therefore, it can be concluded that about 37 Mb segment from 848,011,262 bp to the telomere carried stripe rust resistance gene(s), and it was smaller than that with the Yr83 gene. Gene annotation indicated that about 37 Mb region contains 43 potential resistance genes, and 42 of them are nucleotide-binding site and leucine-rich repeat (NBS-LRR)-like resistance protein genes. The results in this study narrowed down the size of the region with candidate stripe rust resistance gene(s) on the 6RL arm, and the T6RLAr-6AS.6AL is a promising small-segment translocation for improvement of wheat cultivars.
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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) | 0.002 | 0.001 |
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".