Phylogeographic structure of jack pine (<i>Pinus banksiana</i>; Pinaceae) supports the existence of a coastal glacial refugium in northeastern North America
Bibliographic record
Abstract
PREMISE OF THE STUDY: The genetic structure of jack pine (Pinus banksiana Lamb.), a North American boreal conifer with large longitudinal distribution, was investigated to test for the possible existence of a genetically distinct lineage in the Maritimes region in northeastern North America, which could be indicative of a mid-latitude coastal refuge during the last glaciation. • METHODS: One maternally inherited mitochondrial DNA (mtDNA) minisatellite marker and four paternally inherited chloroplast DNA (cpDNA) microsatellite markers were used to assess the range-wide geographical structure of jack pine populations with particular focus on northeastern North America. • KEY RESULTS: The populations from the Maritimes region presented a unique mtDNA background characterized by very low diversity and the preponderance of a distinctive mitotype. The distribution of cpDNA diversity was not spatially structured, though three chlorotypes were restricted to the east. • CONCLUSIONS: MtDNA data suggest that populations from the Maritimes region derive from a genetically depauperated north-coastal refugium. Contrastingly, the much higher geographical uniformity observed for cpDNA variation indicates that gene flow by pollen had been much more effective than seed gene flow at homogenizing population structure.
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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".