Blinded by the bright: a lack of congruence between colour morphs, phylogeography and taxonomy for a cosmopolitan Indo‐Pacific butterflyfish, <i>Chaetodon auriga</i>
Bibliographic record
Abstract
Abstract Aim We assess genetic differentiation among biogeographical provinces and colour morphs of the threadfin butterflyfish, Chaetodon auriga. This species is among the most broadly distributed butterflyfishes in the world, occurring on reefs from the Red Sea and western Indian Ocean to French Polynesia and Hawai'i. The Red Sea form lacks a conspicuous ‘eye‐spot’ on the dorsal fin, which may indicate an evolutionary distinction. Location Red Sea, Indian Ocean and Pacific Ocean. Methods Specimens were obtained at 17 locations (n = 358) spanning the entire range of this species. The genetic data included 669 base pairs of mitochondrial DNA (mtDNA) cytochrome b and allele frequencies at six microsatellite loci. Analysis of molecular variance, structure plots, haplotype networks and estimates of population expansion time were used to assess phylogeographical patterns. Results Population structure was low overall, but significant and concordant between molecular markers (mtDNA: ΦST = 0.027, P < 0.001; microsatellites: FST = 0.023, P < 0.001). Significant population‐level partitions were only detected at peripheral locations including the Red Sea and Hawai'i. Population expansion events in the Red Sea and Socotra are older (111,940–223,881 years) relative to all other sites (16,343–87,910 years). Main conclusions We find little genetic evidence to support an evolutionary partition of a previously proposed Red Sea subspecies. The oldest estimate of population expansion in the Red Sea and adjacent Gulf of Aden indicates a putative refuge in this region during Pleistocene glacial cycles. The finding of population separations at the limits of the range, in the Red Sea and Hawai'i, is consistent with peripheral speciation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".