Effects of long-term low-salinity on haemolymph osmolality, gill structure and transcriptome in mud crab (Scylla paramamosain)
Bibliographic record
Abstract
Scylla paramamosain is an euryhaline species that is extensively distributed in coastal regions along the Indian and Pacific Oceans. Recently, S. paramamosain are considered as species that can be cultured in low-salinity areas to improve the local economy. However, the long-term effects and mechanisms of low salinity on its physiology remain unclear. In this study, S. paramamosain were reared in low-salinity (5 ppt) and normal sea-water environment (25 ppt) for 30 days. We compared haemolymph osmolality, gill structure, and transcriptome changes between the two groups. Results indicated that S. paramamosain subjected to a low-salinity environment showed gill damage such as broken lamellar and reduced haemocytes, some adaptive responses as increased mitochondria in chloride cells were also observed. Even with decreased water ion concentration in lower salinity, the concentrations of Na + , K + , and Cl - in the haemolymph of crab were remained higher than the surrounding water. Transcriptomic analysis revealed 2086 differentially expressed genes, including significant alterations in genes like hexosaminidase and neprilysin. Enriched pathways linked to ion transport were identified, highlighting the main adaptive mechanisms in long-term hypotonic environments. Our findings elucidated the effects and mechanism of long-term low salinity on gill structure and osmoregulation in S. paramamosain , providing theoretical basis for the development of low salinity aquaculture technology of this species. • Gills exposed to long-term low salinity exhibited significant structural damage. • Long-term low salinity exposure affects osmoregulation, energy metabolism and immunoregulation in S. paramamosain . • Ion transport associated genes play important roles in long-term low salinity environments. • Gene transcription of hexosaminidase was significantly down-regulated in long-term hypo-salinity environment.
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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".