Complete mitochondrial DNA geonome sequences of extinct birds: ratite phylogenetics and the vicariance biogeography hypothesis
Bibliographic record
Abstract
The ratites have stimulated much debate as to how such large flightless birds came to be distributed across the southern continents, and whether they are a monophyletic group or are composed of unrelated lineages that independently lost the power of flight. Hypotheses regarding the relationships among taxa differ for morphological and molecular data sets, thus hindering attempts to test whether plate tectonic events can explain ratite biogeography. Here, we present the complete mitochondrial DNA genomes of two extinct moas from New Zealand, along with those of five extant ratites (the lesser rhea, the ostrich, the great spotted kiwi, the emu and the southern cassowary and two tinamous from different genera. The non-stationary base composition in these sequences violates the assumptions of most tree-building methods. When this bias is corrected using neighbour-joining with log-determinant distances and non-homogeneous maximum likelihood, the ratites are found to be monophlyletic, with moas basal, as in morphological trees. The avian sequences also violate a molecular clock, so we applied a non-parametric rate smoothing algorithm, which minimizes ancestor-descendant local rate changes, to date nodes in the tree. Using this method, most of the major ratite lineages fit the vicariance biogeography hypothesis, the exceptions being the ostrich and the kiwi, which require dispersal to explain their present distribution.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".