Evolutionary Patterns in Chemical Composition and Biomechanics of Articulated Coralline Algae
Bibliographic record
Abstract
Seaweeds inhabiting wave-battered coastlines are generally flexible, bending with the waves to adopt more streamlined shapes and reduce drag. Coralline algae, however, are firmly calcified, existing largely as crusts that avoid drag altogether or as upright branched forms with uncalcified joints (genicula) that confer flexibility to otherwise rigid thalli. Upright corallines have evolved from crustose ancestors independently multiple times, and the repeated evolution of genicula has contributed to the ecological success of articulated corallines worldwide. Structure and development of genicula are significantly different across evolutionary lineages, and yet biomechanical performance is broadly similar. Because chemical composition plays a central role in both calcification and biomechanics, we explored evolutionary trends in cell wall chemistry across crustose and articulated taxa. We compared the carbohydrate content of genicula across convergently-evolved articulated species, as well as the carbohydrate content of calcified tissues from articulated and crustose species, to search for phylogenetic trends in cell wall chemistry during the repeated evolution of articulated taxa. We also analysed the carbohydrate content of one crustose coralline species that evolved from articulated ancestors, allowing us to examine trends in chemistry during this evolutionary reversal and loss of genicula. We found several key differences in carbohydrate content between calcified and uncalcified coralline tissues, though the significance of these differences in relation to the calcification process requires more investigation. Comparisons across a range of articulated and crustose species indicated that carbohydrate chemistry of calcified tissues was generally similar, regardless of morphology or phylogeny; conversely, chemical composition of genicular tissues was different across articulated lineages, suggesting that significantly different biochemical trajectories have led to remarkably similar biomechanical innovations.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".