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Enregistrement W4401370336 · doi:10.1242/jeb.246614

Some baby fish like it hot, but not too hot

2024· article· en· W4401370336 sur OpenAlexaboutno aff
Angelina Dichiera

Notice bibliographique

RevueJournal of Experimental Biology · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePhysiological and biochemical adaptations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFish <Actinopterygii>Environmental scienceFisheryBiology

Résumé

récupéré en direct d'OpenAlex

In a warming world, some fish are primed and ready to face the heat, but others are not. Who is going to be a ‘winner’ in warm waters is influenced by many factors, including where the fish live and what temperatures they encounter there. Atlantic killifish (Fundulus heteroclitus) live in salt marshes all along the Atlantic coast of North America. With this great span of habitat, killifish in the south are living at much higher temperatures than their northern counterparts – up to 10°C warmer. Interestingly, both southern and northern killifish can handle changing temperature, but most of what we know is focused on adults, and scientists suspect that young fish may be more vulnerable to temperatures than older fish. To understand the vulnerability of the young fish, Tessa Blanchard and a team of researchers from the University of British Columbia, Canada, set off to investigate how young killifish from the north and south cope with warming as they grow.Blanchard and the team first went to the field to find adults from both populations, collecting southern killifish in Georgia, USA, and northern killifish in New Hampshire, USA. These fish then took a cross-country trip back to the lab, where the team mixed and matched the adults to create four different types of offspring: embryos from northern parents, embryos from southern parents, as well as two types of ‘hybrid’ embryos. These hybrids were fish with southern mothers and northern fathers or northern mothers and southern fathers, to help the team understand which parent they get their heat-handling skills from.Afterwards, the researchers placed the resulting eggs in water at one of eight different temperatures that they might encounter in their habitats across the Atlantic coast – from 15°C to 36°C – and raised them until they hatched. The team monitored how many eggs survived until hatching at each temperature and how fast they developed. Like the adults, southern offspring did best at warmer temperatures – surviving best at 31°C – whereas the ideal temperature for northern killifish offspring was nearly 6°C cooler. Similarly, southern fish grew fastest at warm temperatures close to 32°C, as did the hybrids with mothers from the south. This suggests that southern mothers are better at passing their fondness for warm temperatures onto their offspring. Although the northern offspring favoured cooler temperatures, more of them survived across all temperatures and hatched faster than the other killifish offspring. And though northern killifish hatched at a smaller size, this is not necessarily bad. Because the temperature changes so drastically with the seasons up north, adult northern killifish have a much shorter time for breeding than southern killifish, so having fast-growing young is an excellent strategy for success. Clearly, northern and southern populations of killifish both have their own approaches to deal with temperature changes, and they get some of that from their parents.However, Blanchard and the team found that regardless of which population they came from, all young fish coped with a smaller range of temperatures and were slightly more sensitive to warming than adults. In fact, southern offspring couldn't handle cool temperatures below 24°C, and no offspring could handle waters above 33°C. In contrast, the adults could tolerate waters as hot as 38°C. Because most killifish offspring are born in the spring and summer, it's more important that they can deal with hot water as they may not encounter cool temperatures as often. With summer heatwaves becoming a frequent occurrence and young fish being more vulnerable to temperatures than older fish, there could be serious consequences for who is going to be a ‘winner’ in warm waters, even if some like it warmer than others.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,074
Score d'incertitude au seuil0,248

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,003
Communication savante0,0020,003
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0740,029

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,280
Écart entre enseignants0,253 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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