Serotonergic sensory‐motor neurons mediate a behavioral response to hypoxia in pond snail embryos
Bibliographic record
Abstract
Oxygen (O(2)) is one of the most important environmental factors that affects both physiological processes and development of aerobic animals, yet little is known about the neural mechanism of O(2) sensing and adaptive responses to low O(2) (hypoxia) during development. In the pond snail, Helisoma trivolvis, the first embryonic neurons (ENC1s) to develop are a pair of serotonergic sensory-motor cells that regulate a cilia-driven rotational behavior. Here, we report that the ENC1-ciliary cell circuit mediates an adaptive behavioral response to hypoxia. Exposure of egg masses to hypoxia elicited a dose-dependent and reversible acceleration of embryonic rotation that mixed capsular fluid, thereby facilitating O(2) diffusion to the embryo. The O(2) partial pressures (Po(2)) for threshold, half-maximal, and maximal rotational response were 60, 28, and 13 mm Hg, respectively. During hypoxia, embryos relocated to the periphery of the egg masses where higher Po(2) levels occurred. Furthermore, intermittent hypoxia treatments induced a sensitization of the rotational response. In isolated ciliary cells, ciliary beating was unaffected by hypoxia, suggesting that in the embryo, O(2) sensing occurs upstream of the motile cilia. The rotational response of embryos to hypoxia was attenuated by application of the serotonin receptor antagonist, mianserin, correlated to the development of ENC1-ciliary cell circuit, and abolished by laser-ablation of ENC1s. Together, these data suggest that ENC1s are unique oxygen sensors that may provide a good single cell model for the examination of mechanistic, developmental, and evolutionary aspects of O(2) sensing.
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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) | 0.001 | 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".