A role for nonphysical barriers to gene flow in the diversification of a highly vagile seabird, the masked booby (<i>Sula dactylatra</i>)
Bibliographic record
Abstract
To test the hypothesis that nonphysical barriers to gene flow play a role in the divergence of low-latitude seabird populations, we applied phylogeographic methods to mitochondrial control region sequence variation in a global sample of masked boobies (Sula dactylatra). In accord with previous studies, we found that Indo-Pacific and Atlantic haplotypes form two divergent lineages, excluding one haplotype previously attributed to secondary contact between the Indian Ocean and the Caribbean Sea. Within the Indo-Pacific and the Atlantic, we found a relatively large number of haplotypes, many of which were unique to a single population. Although haplotypes from most populations were found in more than one higher-level clade, nested clade analysis revealed a significant association between clades and geography for the majority of higher-level clades, most often interpreted as a consequence of isolation by distance. We found low levels of gene flow within Indo-Pacific and Atlantic populations, and a significant correlation between gene flow and geographical distance among Indo-Pacific populations. We estimate that Indo-Pacific masked boobies experienced rapid population growth approximately 180,000 years ago and that the majority of Indo-Pacific and Atlantic populations diverged within the last approximately 115,000 years. These combined data suggest that the predominant pattern between Indo-Pacific and Atlantic populations is long-term isolation by physical barriers to gene flow. In contrast, populations within these regions appear to have diverged despite few obvious physical barriers to gene flow, perhaps as a consequence of limited natal dispersal combined with local adaptation and/or genetic drift.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".