Male-biased sensitivity to wastewater effluent exposure in Harpagifer antarcticus from Fildes Bay, King George Island
Bibliographic record
Abstract
Antarctica has experienced a growing human presence in recent decades, with year-round scientific and military stations concentrated along the coast. Wastewater effluents from these settlements represent a growing concern, as they contain pharmaceuticals and personal care products (PPCPs) capable of disrupt endocrine functions in aquatic organisms at environmentally relevant concentrations. This study evaluated the impact of wastewater exposure on the gonadal transcriptome of the Antarctic fish Harpagifer antarcticus , collected nearby human settlements and research stations in Fildes Bay, King George Island. Chemical analysis revealed bioaccumulation of diclofenac, carbamazepine, and fluoxetine in fish muscle. Morphological endpoints indicate significant decreases in male gonadosomatic index (GSI) at impacted sites. Molecular analysis suggested disruption of genes related to reproduction. Females displayed significant overexpression of zp at impacted sites, while males from contaminated areas showed increased expression of both zp and esr1 .Transcriptomic analysis revealed a male-biased response, with enriched GO terms associated to sperm motility, nervous system function, and immune and inflammatory regulation, as well as chemical homeostasis and lipid metabolism. Females were less impacted, exhibiting transcriptomic alterations mainly linked to metabolic homeostasis. Together, these findings suggest that male H. antarcticus are particularly sensitive to wastewater-derived contaminants, with transcriptional shifts serving as early warning signals of impaired reproduction, physiology, and population resilience. This study highlights the vulnerability of Antarctic coastal ecosystems to anthropogenic pressures and underscores the urgent need for improved wastewater management in this fragile environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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 teacher head, 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".