Comparative Genomics of the Pine Pathogens and Beetle Symbionts in the Genus Grosmannia
Bibliographic record
Abstract
Studies on beetle/tree fungal symbionts typically characterize the ecological and geographic distributions of the fungal populations. There is limited understanding of the genome-wide evolutionary processes that act within and between species as such fungi adapt to different environments, leading to physiological differences and reproductive isolation. Here, we assess genomic evidence for such evolutionary processes by extending our recent work on Grosmannia clavigera, which is vectored by the mountain pine beetle and jeffrey pine beetle. We report the genome sequences of an additional 11 G. clavigera (Gc) sensu lato strains from the two known sibling species, Grosmannia sp. (Gs) and Gc. The 12 fungal genomes are structurally similar, showing large-scale synteny within and between species. We identified 103,430 single-nucleotide variations that separated the Grosmannia strains into divergent Gs and Gc clades, and further divided each of these clades into two subclades, one of which may represent an additional species. Comparing variable genes between these lineages, we identified truncated genes and potential pseudogenes, as well as seven genes that show evidence of positive selection. As these variable genes are involved in secondary metabolism and in detoxifying or utilizing host-tree defense chemicals (e.g., polyketide synthases, oxidoreductases, and mono-oxygenases), their variants may reflect adaptation to the specific chemistries of the host trees Pinus contorta, P. ponderosa, and P. jeffreyi. This work provides a comprehensive resource for developing informative markers for landscape population genomics of these ecologically and economically important fungi, and an approach that could be extended to other beetle-tree-associated fungi.
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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".