Insight Into the Phylogeny of the Intertidal Beetle Genus <i>Aegialites</i> (Coleoptera, Salpingidae)
Bibliographic record
Abstract
ABSTRACT Aegialites Mannerheim, 1853 (Coleoptera: Salpingidae) is an understudied genus. These beetles inhabit rock crevices in the supralittoral to intertidal zones. They have widely separated coxae, large claws and are flightless. Despite their limited vagility they are broadly distributed along the northern Pacific coast, from California to northern Japan. Phylogenetic relationships and species richness within Aegialites remain unclear, with historical morphological assessments yielding 4–30 species. Recent molecular studies have suggested potential cryptic species may exist. We present the first molecular phylogenetic analysis of Aegialites based on one mitochondrial gene (cytochrome oxidase I) and one nuclear gene (ribosomal internal transcribed spacer 2) from over 160 specimens across 96 localities, as well as the complete mitochondrial genome and the 18S nuclear gene for several specimens. Our phylogenetic analyses revealed three major clades, one corresponding to Alaska, Canada and Northern California; a sister clade from Russia and Japan; and a separate clade for southern California. Haplotype networks, along with calculations of FST and P‐distance, supported our findings. Based on these analyses, we have evidence for seven species of Aegialites . However, fixing the taxonomy of Aegialites will require integration of morphology and further molecular analyses.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".