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Record W2065962918 · doi:10.1242/jeb.081653

ROOT HAEMOGLOBINS BENEFIT FISH ON ACID

2013· article· en· W2065962918 on OpenAlexaboutno aff
Cosima S. Porteus

Bibliographic record

VenueJournal of Experimental Biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsnot available
Fundersnot available
KeywordsOxygenBiologyMetabolismBiochemistrySwim bladderFish <Actinopterygii>OxygenationChemistryEcologyFishery

Abstract

fetched live from OpenAlex

Haemoglobin, the oxygen-carrying protein in our red blood cells, binds oxygen at the lungs and releases oxygen at the tissues to sustain metabolic needs and, thus, life. In nearly all vertebrates, carbon dioxide, a product of metabolism, helps haemoglobin release oxygen at the tissues by acidifying red blood cells. Bony fish have ‘Root haemoglobins’ – special haemoglobins that are more pH sensitive than those of other vertebrates. Root haemoglobins help fish deliver oxygen to the retina and gas bladder, two extremely oxygen-demanding tissues. These tissues have specialized acid-producing cells that help them get lots of oxygen from haemoglobin. Other tissues do not have acid-producing cells, but is there a way that these other tissues can take advantage of the sensitivity to pH of Root haemoglobins in order to get more oxygen? Jodie Rummer from the University of British Columbia, Canada, and her colleagues recently discovered the answer to this question and their findings are published in Science.First, Rummer and colleagues wanted to determine whether they could make fish muscles pick up more oxygen by simply making their blood more acidic. They monitored the oxygen level in trout muscle in real-time by inserting a very small probe into the muscle. Even though they applied only a moderate acid stress, the oxygen in the muscle increased by 65% and there was an approximate doubling in the delivery of oxygen to that muscle. The team calculated that Root haemoglobins are 20 times more efficient at delivering oxygen to a fish's muscle than human haemoglobins are at delivering oxygen to our own working muscles!Fish red blood cells contain an acid pump that can pump out acid from the red blood cell, increasing pH inside the red blood cell, and making haemoglobin better able to pick up oxygen at the gills during stress. Rummer and her colleagues hypothesized that the red muscle capillaries of fish have high levels of carbonic anhydrase – an enzyme that produces carbon dioxide. As one of the fastest acting enzymes known, it could quickly acidify the blood, which would undermine the action of the acid pump, as carbon dioxide readily diffuses into the red blood cells. As a consequence, the pH in the red blood cells would be lower when they entered the capillaries near the muscle and the Root haemoglobins would release more oxygen and therefore increase oxygen delivery to the muscle. Rummer and colleagues used the same experimental setup as before, but this time added a carbonic anhydrase inhibitor to the fish's blood. This time the oxygen in the muscle did not increase. This showed that carbonic anhydrase found in the capillaries of muscles was necessary for the enhanced oxygen delivery to that tissue.Rummer and colleagues have shown for the first time that Root haemoglobins help fish deliver oxygen to all tissues, not just the retina and the gas bladder. More importantly, Root haemoglobins are responsible for the extraordinary capacity of bony fish for oxygen delivery, allowing this vertebrate group to successfully conquer almost every body of water on the planet.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0250.007

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 head0.009
GPT teacher head0.261
Teacher spread0.252 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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