Genetic analysis of cross fertility between two self-sterile strains of <i>Glomerella graminicola</i>
Bibliographic record
Abstract
The ascomycete Glomerella cingulata has an unusual and complex mating system which is controlled by multiple, multiallelic loci. Cross fertility between different isolates occurs via complementation of mutated fertility genes, a process known as unbalanced heterothallism. We have examined the heritability of cross fertility among progeny of crosses between two self-sterile strains of G. graminicola to determine if unbalanced heterothallism also occurs in this species. Both random spore and tetrad progeny were analyzed. One-half of the progeny mated with one parent, one-fourth mated with the second parent, and one-fourth did not mate with either parent. None mated with both parents, and none were self fertile. The data support a model in which cross fertility between strains is regulated by two unlinked loci. One locus may be a component of the pathway for self fertility. The other locus appears to be involved in self/nonself recognition, because alternate functional alleles must be present in the parents. However, this second locus is unlikely to be a typical ascomycete MAT idiomorph, since the HMG box of a putative MAT2 idiomorph from G. graminicola was found in both parent strains at a locus which is not linked to the self/nonself recognition locus identified in this study. The data reported here suggest that cross fertility in G. graminicola is genetically complex, and that it functions at least in part via unbalanced heterothallism.
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 | 0.001 | 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 | 0.000 |
| 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".