Identifying Pigmentation-Related Genes in <i>Ophiostoma piceae</i> Using <i>Agrobacterium</i>-Mediated Integration
Bibliographic record
Abstract
ABSTRACT Wood sapstain, a cosmetic defect that results in significant economical loss to forest-products industries, is caused by mycelial melanization of the wood-colonizing ophiostomatoid fungi. To improve our understanding of how melanin biosynthesis is regulated in the cosmopolitan sapstaining fungus, Ophiostoma piceae, we used insertional mutagenesis. Insertional mutants were generated by restriction enzyme-mediated integration (REMI) and Agrobacterium-mediated integration (AMI). We screened 1,053 REMI and 1,083 AMI transformants and found 30 mutants with impaired growth or pigmentation. We characterized four AMI transformants in more detail, in which the T-DNA integrated at a single locus. The albino mutant TOPA45 had incorporated the T-DNA in a polyketide synthase gene (PKS1). The mutants TOPA1 and TOPA1076 displayed reduced pigmentation. In TOPA1, the T-DNA was inserted into a gene that encodes a putative protein kinase activator whereas, for TOPA1076, it was inserted into a gene that encodes a protein with unknown function. Finally, the vegetative hyphae of mutant TOPA814 were not melanized, whereas the synnemata displayed the same level of pigmentation as the wild type. In the TOPA814 mutant, segregation analysis revealed that the mutant phenotype was not linked to the T-DNA insertion locus but to a translocation from the PIG1 locus to the left border of the T-DNA. The protein predicted for the PIG1 locus had a middle homology region that was specific to fungal transcription factors.
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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 | 0.000 |
| 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".