Coordinated function of paired NLRs confers <i>Yr84</i> -mediated stripe rust resistance in wheat
Bibliographic record
Abstract
Abstract Cloning of resistance genes expands our understanding of their function and facilitates their deployment in breeding. Here, we report the cloning of two genes from wild emmer wheat ( Triticum turgidum ssp. dicoccoides ) underlying Yr84 -mediated stripe rust resistance using a combination of fine mapping, long read-sequencing and mutation-induced functional validation. In contrast to all previously cloned stripe rust genes, the incompletely dominant Yr84 phenotype is conferred through the coordinated function of paired nucleotide-binding leucine-rich repeats (NLR) genes CNL and NL . We hypothesize that based on their genomic organization, annotation, expression profiles and predicted protein structure, CNL functions as a sensor NLR (sNLR) responsible for effector recognition, and NL acts as a helper NLR (hNLR) initiating downstream resistance cascades. The CNL and NL lack an integrated domain(s) previously implicated in effector recognition by paired NLRs, therefore these findings contribute new insights into plant paired NLRs structure and molecular mechanisms of function.
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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) | 0.001 | 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".