Generation and annotation of lodgepole pine and oleoresin-induced expressed sequences from the blue-stain fungus<i>Ophiostoma clavigerum</i>, a Mountain Pine Beetle-associated pathogen
Bibliographic record
Abstract
Ophiostoma clavigerum is a destructive pathogen of lodgepole pine (Pinus contorta) forests in western North America. It is therefore a relevant system for a genomics analysis of fungi vectored by bark beetles. To begin characterizing molecular interactions between the pathogen and its conifer host, we created an expressed sequence tag (EST) collection for O. clavigerum. Lodgepole pine sawdust and oleoresin media were selected to stimulate gene expression that would be specific to this host interaction. Over 6500 cDNA clones, derived from four normalized cDNA libraries, were single-pass sequenced from the 3' end. After quality screening, we identified 5975 high-quality reads with an average PHRED 20 of greater than 750 bp. Clustering and assembly of this high-quality EST set resulted in the identification of 2620 unique putative transcripts. BLASTX analysis revealed that only 67% of these unique transcripts could be matched to known or predicted protein sequences in public databases. Functional classification of these sequences provided initial insights into the transcriptome of O. clavigerum. Of particular interest, our ESTs represent an extensive collection of cytochrome P450 s, ATP-binding-cassette-type transporters and genes involved in 1,8-dihydroxynaphthalene-melanin biosynthesis. These results are discussed in the context of detoxification of conifer oleoresins and fungal pathogenesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".