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Record W2089254307 · doi:10.1086/367946

Protection by Natural Blackwater against Disturbances in Ion Fluxes Caused by Low pH Exposure in Freshwater Stingrays Endemic to the Rio Negro

2003· article· en· W2089254307 on OpenAlexafffund
Chris M. Wood, Aline Y.O. Matsuo, Rod W. Wilson, Richard J. Gonzalez, Marjorie L. Patrick, Richard C. Playle, Adalberto Luís Val

Bibliographic record

VenuePhysiological and Biochemical Zoology · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsWilfrid Laurier UniversityMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster UniversityNational Science Foundation
KeywordsBlackwaterDissolved organic carbonAmmoniaEnvironmental chemistryIonChemistryEnvironmental scienceEnvironmental engineeringBiochemistry

Abstract

fetched live from OpenAlex

Stenohaline freshwater stingrays (Potamotrygon spp.) are endemic to the very dilute (Na+, Cl−, $$\mathrm{Ca}\,^{2+}\leq 30$$ μmol L−1), often acidic blackwaters of the Rio Negro despite gill Na+ and Cl− transport characteristics that appear unfavorable (high Km, low Jmax). We evaluated the possible protective role of blackwater itself, which is rich in dissolved organic carbon (DOC), as well as the importance of Ca2+ in allowing this tolerance of dilute, acidic conditions. Responses of stingrays in natural blackwater ($$\mathrm{DOC}\,=8.4$$ mg L−1) were compared with those in a natural reference water with similar ion levels but low DOC (0.6 mg L−1). Comparing these two water types, we found that differences in Na+ and Cl− unidirectional fluxes ($$J^{\mathrm{X}\,}_{\mathrm{in}\,}$$ , $$J^{\mathrm{X}\,}_{\mathrm{out}\,}$$ ; measured with radiotracers) and net fluxes ($$J^{\mathrm{X}\,}_{\mathrm{net}\,}$$ ), influx and outflux kinetic relationships, and net ammonia excretion (JAmm) were generally small at pH 6.3, though the balance points where $$J_{\mathrm{in}\,}=J_{\mathrm{out}\,}$$ shifted from >300 μmol L−1 in reference water (low DOC) to about 100 μmol L−1 in blackwater (high DOC). In reference water, both $$J^{\mathrm{Na}\,}_{\mathrm{in}\,}$$ and $$J^{\mathrm{Cl}\,}_{\mathrm{in}\,}$$ were inhibited >90%, both $$J^{\mathrm{Na}\,}_{\mathrm{out}\,}$$ and $$J^{\mathrm{Cl}\,}_{\mathrm{out}\,}$$ more than doubled, and JAmm did not change at pH 4.0. In blackwater, the inhibition of influxes was attenuated, the increases in outflux did not occur, and JAmm increased by 60% at pH 4.0. Addition of 100 μmol L−1 Ca2+ to reference water prevented the increases in $$J^{\mathrm{Na}\,}_{\mathrm{out}\,}$$ and $$J^{\mathrm{Cl}\,}_{\mathrm{out}\,}$$ and allowed JAmm to increase at pH 4.0, which demonstrates that the gills are sensitive to Ca2+. However, addition of Ca2+ to blackwater had no effect on the responses to pH 4.0. Addition of commercial humic acid to reference water did not duplicate the effects of natural Rio Negro blackwater at the same DOC level; instead, it greatly exacerbated the increases in $$J^{\mathrm{Na}\,}_{\mathrm{out}\,}$$ and $$J^{\mathrm{Cl}\,}_{\mathrm{out}\,}$$ at low pH and prevented any protective influence of added Ca2+. Thus, blackwater DOC appears to be very different from commercial humic acid. Biogeochemical modeling indicated that blackwater DOC prevents Ca2+ binding, but not H+ binding, to the gills and that the protective effects of blackwater cannot be attributed to its higher buffer capacity or its elevated Al or Fe levels. Natural DOC may act directly at the gills at low pH to exert a protective effect and, when doing so, may override any protective action of Ca2+ that might otherwise occur.

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 score0.003
Threshold uncertainty score0.007

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 science0.0000.001
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 head0.008
GPT teacher head0.193
Teacher spread0.185 · 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

Citations92
Published2003
Admission routes2
Has abstractyes

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