MULTILOCUS PHYLOGEOGRAPHY OF A HOLARCTIC DUCK: COLONIZATION OF NORTH AMERICA FROM EURASIA BY GADWALL (ANAS STREPERA)
Bibliographic record
Abstract
More than 100 species of birds have Holarctic distributions extending across Eurasia and North America, and many of them likely achieved these distributions by recently colonizing one continent from the other. Mitochondrial DNA (mtDNA) and five nuclear introns were sequenced to test the direction and timing of colonization for a Holarctic duck, the gadwall (Anas strepera). Three lines of evidence suggest gadwalls colonized North America from Eurasia. First, New World (NW) gadwalls had fewer alleles at every locus and 61% of the allelic richness found in Old World (OW) gadwalls. Second, NW gadwalls had lower mtDNA allelic richness than other NW ducks. Third, coalescent analysis suggested that less than 5% of the ancestral population contributed to NW gadwalls at the time of divergence. Gadwalls likely colonized North America during the Late Pleistocene (approximately 81,000 years ago), but the confidence interval on that estimate was large (8500-450,000 years ago). Intercontinental gene flow and selection also likely contributed to genetic diversity in gadwalls. This study illustrates the use of multiple loci and coalescent analyses for critically testing a priori hypotheses regarding dispersal and colonization and provides an independent datapoint supporting an OW to NW bias in the direction of colonization.
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 | 0.000 |
| 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".