Post‐glacial history of <i>Trillium grandiflorum</i> (Melanthiaceae) in eastern North America: inferences from phylogeography
Bibliographic record
Abstract
Dispersal and migration are important processes affecting the evolutionary history and genetics of species. Here we investigate post-glacial migration and gene flow in Trillium grandiflorum (Melanthiaceae), a wide-ranging, forest herb from eastern North America. Using phylogeographic approaches, we examined cpDNA and allozyme diversity in 35 populations of T. grandiflorum sampled from throughout the geographic range of the species. Nested clade analysis (NCA) of cpDNA haplotypes indicated that T. grandiflorum likely survived in two refugia in the southeastern US during the last glaciation and that long-distance dispersal characterized the post-glacial recolonization of northern areas. There was no evidence for reduced allozyme diversity in populations from glaciated compared to ice-free regions, probably because of the greater abundance and larger effective size of populations in the north. An analysis of isolation-by-distance based on the allozyme data suggested a pattern of population differentiation consistent with restricted gene flow. Notwithstanding the significance of rare seed dispersal events for migration, a comparison of allozyme and cpDNA genetic structure indicates that pollen flow between populations is more likely than seed dispersal. These results for T. grandiflorum represent the first phylogeographic analysis of a temperate woodland herb in eastern North America and support the importance of occasional long-distance dispersal events in the post-glacial migration of plants.
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 | 0.000 | 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) | 0.000 | 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".