MétaCan
Menu
← Back to cohort
Record W2748203350

Multi-stressor impacts on fish energetics and stress response: a comparison between lab and field studies

2017· dissertation· en· W2748203350 on OpenAlexaboutno aff
Hossein Mehdi

Bibliographic record

VenueUWSpace (University of Waterloo) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsStressorEnergeticsFish <Actinopterygii>Fight-or-flight responseField (mathematics)Environmental scienceFisheryEcologyBiologyPsychologyClinical psychologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Aquatic organisms are continuously exposed to multiple environmental stressors that work cumulatively and synergistically to alter ecosystems. The objective of this study was to investigate the impacts of multiple stressors under lab and field conditions using two fish species, zebrafish (Danio rerio) and rainbow darter (Etheostoma caeruleum). Under lab conditions, the study examined the impacts of chronic exposure to environmentally relevant concentrations of venlafaxine and elevated water temperatures on the energetics and stress response of zebrafish. Venlafaxine is a frequently prescribed antidepressant that is readily detectable in many Canadian waterways that receive discharged wastewater treatment plant effluent. Under field conditions, rainbow darter were collected upstream and downstream of the Waterloo wastewater treatment plant in the Grand River, Ontario, Canada. Enzyme activities of major metabolic and mitochondrial enzymes were measured in muscle tissue of both species. Oxygen consumption was measured to assess the effects of stressors on routine metabolic rate, active metabolic rate, aerobic scope, and critical swimming speed, all of which are significant indicators of fishes performance in ecological frameworks. Finally, the impact of chronic exposure to multiple stressors on the cortisol stress response following confinement and air-exposures stressors was investigated in zebrafish and rainbow darter respectively. \nIn the lab study, it was found that fish exposed to multiple stressors had higher oxygen consumption rates, resulting in diminished aerobic scope. No impairment in the cortisol stress response was observed in response to either stressors, singularly or cumulatively. Exposure to multiple stressors also had an impact on the enzyme activities in the muscle tissue of zebrafish. Fish exposed to multiple stressors had higher pyruvate kinase activity, reduced 3-hydroxyacyl CoA dehydrogenase temperature sensitivity, and lower catalase activity in response to the higher exposure temperature. \nIn the field study, it was found that male and female rainbow darter collected downstream of the Waterloo wastewater treatment plant had higher oxygen consumption rates. No impairment in the cortisol stress response between the downstream and upstream fish was observed, however, baseline cortisol levels in female fish from the downstream site were significantly higher compared to other baseline groups. Elevated cortisol levels were also higher in female fish from both sites when compared to their male counterparts. Differences in enzyme activities measured in the muscle tissue of rainbow darter were detected, however, differences were mostly associated with sex rather than collection site. \nThe results suggest that multi-stressor research can yield unexpected data that might not have been predicted using conventional single-stressor approach. Aligning field and lab results will highlight the importance of including multi-stressor approach assessments in making predictions regarding the impact of environmental stressors on non-target organisms.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.270
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)→Same topicAquaculture Nutrition and Growth→French-language works237,207→