Bone Mineral Density Reduction Explains Buoyancy Adaptations in Notothenioids
Bibliographic record
Abstract
In aquatic vertebrates, dense skeletons and buoyant fat constitute important components for buoyancy regulation in addition to their roles in structural support and energy storage. Some fishes can fine‐tune buoyancy using their swim bladder, whereas others rely on neutral buoyancy or constant motion to regulate vertical position. The Notothenioidei provides a model system to study the phenotypic implications of differential use of the water column over a large radiation of closely related species. It has been suggested that to expand from ancestral benthic to pelagic habitats, some notothenioids, all of which lack the swim bladder, have reduced skeletal mass and display enhanced lipid deposition. This, apparently, adaptive osteopenia has interesting medical implications in understanding the balance between osteopenic bone and structural integrity of the skeleton. While relative buoyancy in seawater (%B) and dry skeletal mass have previously been studied in some notothenioids, little is known about the specific anatomical changes resulting in osteopenia; hypotheses include reductions of bone mineralization, reductions in bone size, and/or modifications of bone architecture. Here we used a high‐throughput procedure relying on quantitative X‐ray computed tomography (qCT) imaging on a collection of 436 notothenioid specimens (7 families, 24 genera, 53 species) to measure overall volumetric bone mineral density (vBMD), body size‐adjusted mineral content of the entire skeleton (BMC total ), vertebrae (BMC vertebrae ), and skull bones (BMC skull ), and body size adjusted lipid content (LC). Dual‐energy X‐ray absorptiometry and magnetic resonance imaging on a subsample of 50 specimens was used for BMC total and LC validation. For 33 species in the collection, %B was available from the literature and we performed phylogenetic generalized least‐squares analysis with seven models to explain buoyancy (%B ~ BMC total , %B ~ BMC skull , %B ~ BMC vertebrae , %B ~ BMC total + BMC skull , %B ~ BMC total + BMC vertebrae , %B ~ BMC total + BMC skull + BMC vertebrae , %B ~ LC). This phylogenetically informed multivariate data analysis showed that the model %B ~ BMC total + BMC vertebrae best described the data, thus evolutionary reductions in %B are best explained by reductions in both BMC total and BMC vertebrae . In a series of studies, Eastman et al. established the link between buoyancy, skeletal mass, and LC in notothenioids, most recently in a comprehensive report spanning 54 specimens of 20 species (Eastman et al. J Morphol. 2014, 275:841–61). The present result confirms on a much broader scale the correlation between bone mineral content and buoyancy, and shows that vertebrae are the most important bone type for overall reductions in BMC. Based on qCT, micro‐CT, histology, and mechanical testing, we seek to answer to which extend the reduction in BMC compromises the mechanical integrity of the bone. Support or Funding Information US National Science Foundation grant PLR‐1444167 This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0.001 | 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) | 0.001 | 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".