Effects of Acute Low-Salinity Stress on the Activities of Catalase (CAT), Superoxide Dismutase (SOD) and Glutathiones-Transferase (GST) in Scapharca broughtonii
Bibliographic record
Abstract
Salinity is an important environmental factor of osmotic pressure which is closely related to growth and development of aquatic organisms. Some physiological studies regarding to challenge of salinity have been reported in marine shellfish. However, information about the effects of acute low-salinity stress on the enzyme activities in ark shell, Scapharca broughtonii, is still limited now. In this study, the enzyme activities of catalase (CAT), superoxide dismutase (SOD) and glutathiones-transferase (GST) in five tested tissues of S. broughtonii under different salinity (10, 15, 20, 25 and 30‰) for different challenged time (24, 48, 72 and 96h) were investigated. The dynamic change of the three enzyme activities after challenged were further analyzed according to the detected data. Results revealed that low-salinity stress generated great change of CAT, SOD and GST activities in organism, but the change peculiarity in different tissues was different in some degree. Especially, two of the five tissues, hepatopancreas and foot, showed special characteristics responding to the low-salinity stress. It also showed that the variations of the three enzymes activities have tissue specificity and time sequentiality in S. broughtonii.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".