Independent Transitions to Freshwater Environments Promote Phenotypic Divergence, Not Convergence, in Stingrays
Bibliographic record
Abstract
Instances of convergent or parallel evolution provide a potent model system for exploring contingency and determinism in evolutionary biology. Likewise, the multiple, independent habitat transitions from saltwater to freshwater biomes offer opportunities for studying convergent evolution within and among different vertebrate lineages. For example, stingrays have invaded freshwater habitats multiple times across different continents, sometimes even several times within the same clade (e.g., Dasyatidae). We evaluated the frequency of saltwater-freshwater invasions in stingrays, compared ecological and phenotypic diversification among freshwater and saltwater lineages, and assessed the degree of convergence among freshwater species. Despite not being morphologically distinct from saltwater stingrays, freshwater stingrays do expand the margins of stingray morphological diversity. According to our data, trophic specialists occupied non-overlapping regions of morphospace, with piscivores and molluscivores being distinct from other diet guilds. Freshwater stingrays as a group did not strongly converge morphologically, neither did freshwater rays from different lineages, which shared similar niches. These findings could be explained by there not being enough time for convergence to occur among more ancient and more recent freshwater lineages. Alternatively, the different ancestral bauplans of various freshwater ray lineages and weak selection on optimal phenotypes could promote contingency in the form of evolution along paths of least resistance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".