Low pH Means More Female Offspring: A Multigenerational Plasticity in the Sex Ratio of Marine Bivalves
Bibliographic record
Abstract
Global changes can profoundly affect the sex determination and reproductive output of marine organisms, disrupting the population structure and ecosystems. High CO 2 driven low pH in the context of ocean acidification (OA) has been shown to severely affect various calcifiers, but less is known about the extent to which low pH influences sex determination and reproduction of marine organisms, particularly mollusks. This study is the first to report a biased sex ratio over multiple generations toward females, driven by exposure to high CO 2 -induced low pH environments, using the ecologically and economically important Portuguese oyster ( Crassostrea angulata ) as a model. This phenomenon, which we term pH-mediated sex determination (PSD), has no consequences for fecundity, gonadal development, or reproductive function in the offspring. Moreover, PSD persisted into a second year of reproduction and was inherited across multiple generations. Transcriptomic analysis indicates PSD is associated with the activation of the Wnt signaling pathway in females and inhibition of spermiogenesis-related functions in males. This work expands our understanding of environmental sex determination and highlights the possible impact of global changes on reproduction and population dynamics of mollusks and other marine organisms.
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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".