Subcellular assessment of algal carbon storage and chloroplasts across the microenvironmental landscape of a photosymbiotic coral
Bibliographic record
Abstract
Abstract Light availability plays a central role in shaping the photophysiology and energy metabolism of photosymbiotic organisms such as reef-building corals. Although light varies greatly within coral colonies, the effects of this spatial heterogeneity on the subcellular organization and energy storage of symbiotic algae (Symbiodiniaceae) remain poorly understood. Here, we combined microscale measurements of light and oxygen across both light-exposed upper regions and shaded basal regions of a Favites abdita colony with three-dimensional subcellular imaging using Focused Ion Beam Scanning Electron Microscopy (FIB-SEM). Our multi-scale approach revealed subcellular heterogeneity among symbiont populations, suggesting different cell cycle stages and physiological states across a spatial stratification in the coral. Subcellular morphometrics revealed that symbiont cells at the top of the colony were twice more voluminous than those at the shaded base with similar plastid volume occupancy. Compared to symbionts at the top of the colony, symbionts in the basal region accumulated nearly three times more starch relative to their cell volume. These findings show that light gradients within coral colonies shape symbiont morphology and energy storage patterns, with important implications for coral stress tolerance and resilience.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".