Chloroplast DNA phylogeography in long-lived Huon pine, a Tasmanian rain forest conifer
Bibliographic record
Abstract
Genealogy based methods were used to estimate phylogeographic history for a Tasmanian endemic conifer, Huon pine ( Lagarostrobos franklinii (Hook. f.) Quinn). DNA from trees in eight populations was sequenced using three chloroplast primers (trnS–trnT, trnD–trnT, and psbC–trnS). Mean nucleotide diversity was low (π = 0.000 93 ± 0.000 06) from 892 base pairs of sequence, but varied in stands from 0.0 to 0.001 15. Two of the five haplotypes were widely distributed, but the most frequently occurring haplotype was found only in the western portion of the range. Population structure was highly significant among populations overall (GST= 0.261, where GSTis the coefficient of gene differentiation, and p ≤ 0.0001), and there were indications of significant isolation by distance (p ≤ 0.022). Populations exhibited the highest levels of differentiation between the southeastern and northwestern watersheds. Estimates of migration between populations obtained using both parametric and nonparametric methods indicated levels of gene flow consistent with an isolation by distance model. Nested clade analysis demonstrated a pattern of genetic diversity in Huon pine that is consistent with a history of range expansion. The exceptionally low level of nucleotide diversity, haplotype distribution, and paleoecological data are congruent with a history of long-term range reduction, population bottlenecks, and subsequent colonization events from refugial areas.
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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 | 0.000 |
| 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 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".