Characterization of a New Stripe Rust Resistance Gene on Chromosome Arm 2AL in Winter Wheat Cultivar Samara
Bibliographic record
Abstract
Stripe rust, caused by Puccinia striiformis f. sp. tritici ( Pst), is a devastating wheat disease worldwide, and novel stripe rust resistance genes that can be readily used in wheat breeding are needed for sustainable wheat production. Winter wheat cultivar Samara exhibits high resistance to predominant Pst races in the United States. An F 2:3 population and an F 7 recombinant inbred line (RIL) population derived from the cross Samara × Jagalene were evaluated for responses to Pst race PSTv-37 at the seedling stage, leading to the conclusion that a single dominant gene conditions stripe rust resistance in Samara. A subset of F 2 plants was genotyped using genotyping-by-sequencing (GBS), and over 44,000 single-nucleotide polymorphisms (SNPs) were identified. Allele distribution analyses at each SNP locus revealed a genomic region harboring a stripe rust resistance gene, temporarily designated YrSA, in the terminal region of chromosome arm 2AL in Samara. Some GBS SNPs in the target region were converted to KASP markers, and linkage analysis delimited YrSA to an interval of 1.65 Mb between 784.71 and 786.36 Mb in the Chinese Spring IWGSC RefSeq v.2.1 reference sequence. The mapping results were further confirmed in the F 7 RIL population. YrSA is a new stripe rust resistance gene different from other genes previously reported on chromosome arm 2AL based on their locations, origins, and responses to Pst races. The physical order of YrSA with other permanently named Yr genes on 2AL is Yr1-Yr86-Yr32-YrSA. YrSA can be widely used to enhance wheat stripe rust resistance in the United States, and the newly developed KASP markers can be used in marker-assisted selection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".