Adaptation of the pine fungal pathogen <i>Grosmannia clavigera</i> to monoterpenes: Biochemical mechanisms revealed by <scp>RNA</scp>‐seq analysis
Bibliographic record
Abstract
Summary The blue stain fungus Grosmannia clavigera (G. clavigera) is a pathogen of pines that can tolerate monoterpenes in oleoresin. Grosmannia clavigera has developed several mechanisms to cope with the host's monoterpene defence: a monoterpene efflux system mediated by an ABC transporter and enzymes that utilize or modify monoterpenes. In this study, we integrated two expression data sets based on a match between their multi‐dimensional distributions. The data sets are raw RNA ‐seq and already processed transcriptome expression data with partially matching biological conditions. As a result, several new regulatory mechanisms, including the upregulation of the stress response and the developmental process at early‐time‐point terpene treatment, were involved in the adaptation of G. clavigera to monoterpenes and were supported by both data sets. In addition, several genes related to terpenoid modification were upregulated within 36 h (in rich media) and 7 days (in poor media) of terpene treatment. These results led us to the assumption that G. clavigera used terpenes as an energy source within 7 days when no other energy source was available, while within 36 h of terpene treatment on rich media these genes took part in terpene detoxification. As the G. clavigera genome is not well annotated, we performed detection of new putative transcripts as genome fragments enriched by read mapping. Several newly detected transcripts annotated as putative retrotransposons were upregulated mostly under early‐time‐point terpene treatment, while others annotated as putative ribonuclease and protease were downregulated mostly during early‐time‐point terpene treatment. Based on these results, it can be hypothesized that these new transcripts could play a role in previously unidentified G. clavigera terpene response regulatory mechanisms. Overall, this study identified gene expression regulations supported by two data sets as well as new putative transcripts related to new processes that might be important for G. clavigera tolerance to terpenes.
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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 | 0.001 |
| 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 | 0.001 | 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".