Comparative mapping among subsection<i>Australes</i>(genus<i>Pinus</i>, family Pinaceae)
Bibliographic record
Abstract
Comparative mapping in conifers has not yet been used to test for small-scale genomic disruptions such as inversions, duplications, and deletions occurring between closely related taxa. Using comparative mapping to probe this smaller scale of inquiry may provide clues about speciation in a phylogenetically problematic taxon, the diploxylon pine subsection Australes (genus Pinus, family Pinaceae). Genetic maps were constructed for two allopatric species of Australes, P. elliottii var. elliottii and P. caribaea var. hondurensis, using microsatellites and an F1 hybrid. A third map was generated directly from the meiotic products of an adult F1 hybrid, eliminating the need for an F2 generation. Numerous small-scale disruptions were detected in addition to synteny and collinearity, and these included (1) map shrinkage, (2) a paracentric inversion, (3) transmission ratio distortion, and (4) mild selection against a parental haplotype. Such cryptic signatures of genomic divergence between closely related interfertile species are useful in elucidating this problematic evolutionary history.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".