Spermatogenesis in cultured blue mussel (<scp><i>Mytilus edulis</i></scp>) from a cold‐ocean environment: Seasonal spatiotemporal expression of three gamete‐associated molecular markers
Bibliographic record
Abstract
Abstract To understand the seasonality of spermatogenesis in cultured males of Mytilus edulis from a cold‐ocean environment, we investigated the cellular transitions occurring within the spermatogenic epithelium of the testicular acini during early and advancing spermatogenesis, with specific reference to the histology of the epithelium, gene specific spermatogenic response, condition, culture environment, and season. A combination of histological evaluation, qPCR analysis, and in situ hybridization was used to examine the cellular transitions taking place in the germinal epithelium from late winter through to a seasonal spawn in summer. We observed clear seasonal transitionary changes in the spermatogenic cell population making up the germinal epithelium (i.e., spermatogonial stem cells, spermatocytes, spermatids, and spermatozoa) extending from February to July. These seasonal transitions in spermatogenic cell type coincided with significant variation in the spatiotemporal expression of two molecular markers for spermatogenesis (i.e., Kelch‐like protein 10 [KLHL10] and Armadillo repeat‐containing protein 4 isoform X2 [ARMC4]) but not for expression of a gamete‐specific Mitochondrial cytochrome oxidase I (MT‐COI). The spatiotemporal expression of these genes is directly linked to the cellular changes taking place in the germinal epithelium during spermatogenesis. These observations not only corresponded to seasonal changes in physiological condition but also environmental temperature and chlorophyll a, thus further supporting the link between male gametogenesis and environment in higher latitude regions.
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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".