Genetic Interactions and Biochemical Pathway Involved in Escape from het-6 Incompatibility in Neurospora crassa
Bibliographic record
Abstract
Non-self recognition during asexual growth in filamentous fungi is mediated by interactions between proteins encoded by heterokaryon incompatibility (het) genes.For example, N. crassa strains that carry the incompatible factors un-24 PA and het-6 OR exhibit a slow and aberrant growth phenotype.un-24 encodes for the large subunit of ribonucleotide reductase (RNR) and its C-terminus is involved in incompatibility.To date, the only function assigned to het-6 is incompatibility.Remarkably, after about 4.5 days of growth, wild-type-like sectors emerge from these self-incompatible un-24 PA het-6 OR colonies through a process called 'escape'.Escape is due to point mutations that arise in het-6 gene (94%), vib-1 (3%), a transcription factor of het-6, or other factor(s) (3%) that have only been characterized by a unique feathery morphology.To investigate the mechanism of escape we separately introgressed into un-24 PA het-6 OR strains each of 80 gene mutations including deletions of genes encoding low-fidelity DNA polymerases and DNA repair factors, and tested whether these mutations suppress escape.Results show that deletions of the DNA damage checkpoint factors, mus-9, uvs-3, mus-23 (orthologs to human ATR, ATRIP and MRE11 respectively), vib-1 and rtt109 (H3K56 acetyltransferase which is more abundant in N. crassa treated with hydroxyurea) either suppress or delay escape from incompatibility.Preliminary RT-qPCR data suggests that within 1 hour, there is 7 and 3.5 fold change in expression of het-6 and vib-1, respectively, when RNR is inactivated by addition of hydroxyurea.We proposed that het-6 and vib-1 are DNA damage checkpoint effectors.iii UV ultra violet vic vegetative incompatibility VMM Vogel's minimum medium WT wild type μm micrometer ix
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".