QTL Analysis of Body Size and Development Time in Dendroctonus ponderosae
Bibliographic record
Abstract
The mountain pine beetle (MPB, Dendroctonus ponderosae) is a pest species found in western Norh America that attacks and kills Pinus host trees. Previous studies have identified genetic divergence between populations and variation in life-history traits (body size and development time) that are likely important in local adaptation. To understand the underlying genetic architecture of MPB adaptation and divergence, we performed an F1 intercross between two distinct populations (Utah & Arizona) and performed a QTL analysis. We analyzed double digest RAD sequencing data from 181 F2 individuals. Our final dataset consists of 986 SNPs and we were able to successfully map all 12 linkage groups and characterize recombination across the genome. We identified a significant QTL peak for development time on the X chromosome. No significant QTL was detected for body size. Lastly, we compared our linkage map to an existing map created using MPB populations from Canada. We found the linkage maps were largely similar, suggesting no major genome structure differences or changes in general patterns of recombination across different populations.
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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 | 0.001 | 0.001 |
| 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".