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Record W4391484389 · doi:10.1242/jeb.246576

Mangrove killifish are stressed for success

2024· article· en· W4391484389 on OpenAlexaboutno aff
Angelina Dichiera

Bibliographic record

VenueJournal of Experimental Biology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsnot available
Fundersnot available
KeywordsKillifishMangroveFisheryGeographyBiologyEcologyZoologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

While most fish are well suited to living in water, some fish also spend part of their time on land. For these amphibious fish, such as the mangrove killifish (Kryptolebias marmoratus), the transition from water to land is taxing. When out of the water, these fish breathe more oxygen and, no longer able to swim, they also get creative with how they move about, sometimes flinging themselves through the air to reach a new location. When the killifish are on land, a stress hormone called cortisol spikes within the first hour but returns to normal after a week out of water. For water-dwelling fishes, long-term increases in this stress hormone help increase how much oxygen a fish breathes in for an extra energy boost during stressful situations. But what if short-term increases in cortisol can help the trying transition from water to land? Sarah Young from the University of Guelph, Canada, and a team of scientists from other Canadian universities turned to the small but mighty mangrove killifish to test this idea.To understand how cortisol helps their transition from water to air, Young and the team blocked cortisol from being produced in the fish's body, then transitioned them to air for 7 days. They measured how much oxygen the fish breathed in and their cortisol levels immediately after their transition to air, 1 h after the transition, and again at the end of the 7 days. Fish given the cortisol blocker didn't increase their cortisol levels much, but fish that weren't given the cortisol blocker increased their cortisol levels ∼10× after just 1 h in air. This temporary increase in the stress hormone returned to normal after 7 days, but the spike coincided with fish breathing in more oxygen. However, when their cortisol production was blocked, fish didn't breathe in nearly as much oxygen. Together, these findings show that the cortisol blocker worked, and the natural spike in the stress hormone helps the killifish fuel their transition from water to air. Without cortisol and the extra energy boost from breathing in more oxygen, the team thought that fish would probably be less lively on land.So, the scientists then measured how far a fish could leap, when given a little motivation (a gentle tap on the nose or tail with the tip of a pen). Mangrove killifish have a particularly acrobatic method of jumping, sometimes propelling themselves over 15 body lengths away – the equivalent of a human jumping lengthwise across an entire tennis court. However, when the researchers stopped the fish from producing the stress hormone, the killifish jumped ∼2 body lengths shorter and generally moved around less than fish producing normal amounts of cortisol. This means that the fish aren't as athletic without cortisol, which may be costly when trying to avoid predators.Young and the team discovered that without cortisol, these amphibious fish can't adjust their bodies and behaviour to land quite as well. More research is needed to discover exactly how cortisol is helping, but it may work together with other stress hormones to tap into the body's extra energy stores, giving killifish a boost when they take on the costly task of transitioning from water to air. With rapid changes to how much oxygen a fish breathes in and how much they jump about within just 1 h in air, the team found just how quickly cortisol can help their life on land. Perhaps unsurprisingly, without cortisol, the mangrove killifish acts like, well, a fish out of water.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.295
Teacher spread0.270 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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