Formation of the Holarctic Fauna: Dated molecular phylogenetic and biogeographic insights from the Quedius-lineage of Ground-Dwelling Rove Beetles (Coleoptera, Staphylinidae)
Bibliographic record
Abstract
Although the Holarctic fauna has been explored for centuries, many questions on its formation are still unanswered. For example, i) what was the impact of the uplift of the Himalaya and Tibetan Plateau?, ii) what were the timings and climate of the faunal bridges connecting the Nearctic and Palearctic regions?, and iii) how did insect lineages respond to the late Paleogene global cooling and regional aridification? To answer these, we developed a phylogenetic dataset of 1229 nuclear loci for a total of 222 species of rove beetles (Staphylinidae) with emphasis in the tribe Quediini, especially Quedius-lineage and its subclade Quedius sensu stricto. Using eight fossils for calibrating molecular clock, we estimated divergence times and then analysed in BioGeoBEARS paleodistributions of the most recent common ancestor for each target lineage. For each species we generated climatic envelopes of the temperature and precipitation and mapped them across the phylogeny to explore evolutionary shifts. Our results suggest that the warm and humid Himalaya and Tibetan Plateau acted as an evolutionary cradle for the Quedius-lineage originating during the Oligocene from where, in the Early Miocene, the ancestor of the Quedius s. str. dispersed into the West Palearctic. With the climate cooling from the Mid Miocene onwards, new lineages within Quedius s. str. emerged and gradually expanded distributions across the Palearctic. In Late Miocene, a member of the group dispersed to the Nearctic region via Beringia before the closure of this land bridge 5.3 Ma. Paleogene global cooling and regional aridification largely shaped the current biogeographic pattern for Quedius s. str. species, many of them originating during the Pliocene and shifting or contracting their ranges during Pleistocene.
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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 | 0.001 |
| 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".