Heterokaryon incompatibility function of barrage-associated vegetative incompatibility genes (vic) in Cryphonectria parasitica
Bibliographic record
Abstract
Six vegetative incompatibility (vic) loci have been identified in Cryphonectria parasitica based on barrage formation during mycelial interactions. We used hygromycin B- and benomyl-resistance as forcing markers in C. parasitica strains to test whether heteroallelism at each vic locus prevents heterokaryon formation following mycelial interactions. Paired strains that had allelic differences at any of vic1, 2, 3, 6 or 7 but not vic4 displayed heterokaryon incompatibility function, as recognized by slow growth or aberrant morphology. While clearly forming barrages in mycelial interactions, paired strains with different alleles at vic4 formed stable heterokaryons. With examples from other fungi, this inconsistency at vic4 suggests that barrage formation and heterokaryon incompatibility are not different manifestations of the same process. Rather, the evidence indicates that heterokaryon incompatibility represents a component of a vegetative incompatibility system that may also use cell-surface or extracellular factors to trigger programmed cell death to modulate nonself recognition in fungi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".