Selection of the sex‐linked <i>inhibitor of apoptosis</i> in mountain pine beetle (<i>Dendroctonus ponderosae</i>) driven by enhanced expression during early overwintering
Bibliographic record
Abstract
Abstract The mountain pine beetle (Dendroctonus ponderosae) is an insect native to western North America; however, its geographical range has recently expanded north in BC and east into Alberta. To understand the population structure in the areas of expansion, 16 gene‐linked microsatellites were screened and compared to neutral microsatellites using outlier analyses of Fst and Fct values. One sex‐linked gene, inhibitor of apoptosis (IAP), showed a strong signature of positive selection for neo‐X alleles and was analyzed for evidence of adaptive variation. Alleles of IAP were sequenced, and differences between the neo‐X and neo‐Y alleles were consistent with neutral evolution suggesting that the neo‐Y allele may not be under functional constraints. Neo‐Y alleles were amplified from gDNA, but not effectively from cDNA, suggesting that there was little IAP expression from neo‐Y alleles. There were no differences in overall IAP expression between males and females with the common northern neo‐X allele suggesting that the neo‐X allele in males compensates for the reduced expression of neo‐Y alleles. However, males lacking the most common northern neo‐X allele thought to be selected for in northern populations had reduced overall IAP expression in early October—at a time when beetles are preparing for overwintering. This suggests that the most common allele may have more rapid upregulation. The reduced function of neo‐Y alleles of IAP suggested by both sequence differences and lower levels of expression may foster a highly selective environment for neo‐X alleles such as the common northern allele with more efficient upregulation.
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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) | 0.000 | 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) | 0.001 | 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".