Phylogenetic revision of whisker-cheeked suckermouth catfishes (Loricariidae: <i>Lasiancistrus</i>) from east of the Andes: five species where once there were two
Bibliographic record
Abstract
Abstract We integrated large sample sizes, morphometric and molecular data, and phylogenetic and species delimitation analyses to test the 17-year-old hypothesis that only two species of whisker-cheeked suckermouth catfishes (genus Lasiancistrus) occur in river drainages west of the Andes Mountains. Our results reject this hypothesis, demonstrating that, in addition to the previously recognized Lasiancistrus guacharote from Lake Maracaibo, a Lasiancistrus clade from west of the Sierra de Perijá contains at least four allopatric, genetically differentiated and morphologically distinct lineages. One of these lineages had no previous name associated with it and is described here as the new species Lasiancistrus wiwa. Phylogenetic relationships and geographical distributions of all five trans-Andean lineages are concordant with watershed boundaries and major mountain ranges that form these boundaries, with the following five freshwater basins or regions each containing a single species: Lake Maracaibo (L. guacharote), Rancheria River basin (L. wiwa), Upper and Middle Magdalena River and lower Cauca River basins (Lasiancistrus volcanensis), Upper Cauca River basin (Lasiancistrus caucanus) and Pacific Coastal watersheds between central Colombia and central Panama (Lasiancistrus mayoloi). Evolutionary relationships among these lineages suggest that Andean uplift-mediated vicariance contributed significantly to the cladogenesis and allopatric distributions of these fishes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.001 | 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".