PLEIOTROPIC REGULATORY LOCUS 2 exhibits unequal genetic redundancy with its homolog PRL1
Bibliographic record
Abstract
In plants, signaling leading to resistance against biotrophic pathogens is complex. Perception of pathogenic microbes by resistance (R) proteins is relayed though successive activities of downstream components, in a network that is not well understood. PLEIOTROPIC REGULATORY LOCUS 1 (PRL1) and >20 other proteins are members of the MOS4-associated complex (MAC), a regulatory node in defense signaling. Of all characterized MAC members, mutations in PRL1 cause the most severe susceptibility towards both virulent and avirulent microbial pathogens. Genetic suppressors of prl1 represent new signaling elements and may aid in further unraveling of defense mechanisms. Our identification and characterization of a dominant suppressor of prl1 revealed a regulatory, gain-of-function mutation in PLEIOTROPIC REGULATORY LOCUS 2 (PRL2), a close homolog of PRL1. Loss-of-function mutants of PRL2 do not exhibit altered phenotypes; however, prl1 prl2 double mutants exhibit enhanced morphological defects consistent with unequal genetic redundancy between the homologs. Up-regulated gene expression mediated by the dominant prl2-1D allele completely suppresses disease susceptibility in the prl1 mutant background and also restores wild-type appearance, further supporting functional equivalence between the two PRL proteins.
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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 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".