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Record W4410026535 · doi:10.1139/cjfas-2024-0319

Maintenance of sodium ion balance in rainbow trout exposed to moderately acidic water is achieved through reduction of sodium efflux

2025· article· en· W4410026535 on OpenAlexafffundvenue
Alex M. Zimmer, Marina Giacomin, Anthony L. Kovac, Chris N. Glover, Greg G. Goss

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsAthabasca UniversityGeoscience BCUniversity of AlbertaUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRainbow troutSodiumEffluxChemistryTroutEnvironmental chemistryFish <Actinopterygii>FisheryBiologyBiochemistry

Abstract

fetched live from OpenAlex

In most freshwater fishes, exposure to acidic water decreases rates of active ion uptake and increases rates of passive ion efflux. To survive in low pH conditions, fish must possess mechanisms to maintain net ion flux rates close to zero. In this study, rainbow trout ( Oncorhynchus mykiss) exposed to moderate acidity (pH = 4.5 or 5.5) in hard water (∼180 mg/L CaCO3) demonstrated Na+ influx inhibition relative to fish held in control conditions (pH = 8.0). However, Na+ efflux rates were significantly lower in fish exposed to low pH, which minimized the net loss of Na+. This represents a relatively novel mechanism to maintain ion balance in low pH for an acid sensitive species, which appeared to be a result of reduced gill paracellular permeability. However, there were no significant differences in the transcript abundance of six different tight junction genes in response to low pH exposure. Overall, we conclude that acid tolerance may be dictated by differences in efflux rates in fishes which, like the rainbow trout, possess acid sensitive mechanisms of ion absorption.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

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 head0.022
GPT teacher head0.223
Teacher spread0.202 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic Sciences→Same topicPhysiological and biochemical adaptations→French-language works237,207→