<i>Brassica napus</i> genes <i>Rlm4</i> and <i>Rlm7</i> , conferring resistance to <i>Leptosphaeria maculans</i> , are alleles of the <i>Rlm9</i> wall‐associated kinase‐like resistance locus
Bibliographic record
Abstract
Plant cell surface receptors are at the forefront of defence against pathogens, involved in pathogen sensing through the detection of conserved molecules named pathogen-associated molecular patterns (PAMP) and highly variable pathogen virulence (effector) proteins. The recently reported Brassica napus (canola, oilseed rape) disease resistance gene Rlm9 encodes a wall-associated kinase-like (WAKL) receptor which confers race-specific resistance against races of the blackleg pathogen Leptosphaeria maculans carrying the corresponding effector gene, AvrLm5-9 (Larkan et al., 2020). Rlm4 and Rlm7 are located on B. napus chromosome A07 and genetically tightly linked to Rlm9 (Larkan et al., 2016). The L. maculans effectors AvrLm4-7 and AvrLm7 are small, secreted cysteine-rich proteins encoded by a single locus, AvrLm4-7. A single amino acid change in AvrLm4-7 masks recognition by Rlm4 without affecting Rlm7 function. Here, we report the cloning of Rlm4 and Rlm7, both alleles of the Rlm9 WAKL locus.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".