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Enregistrement W4293240855 · doi:10.1242/jeb.243485

Aussie trout handle the heat

2022· article· en· W4293240855 sur OpenAlexaffabout
Angelina Dichiera

Notice bibliographique

RevueJournal of Experimental Biology · 2022
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePhysiological and biochemical adaptations
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésTroutPopulationFisheryBayFish <Actinopterygii>GeographyHabitatEcologyThrivingBiologyDemographyArchaeology

Résumé

récupéré en direct d'OpenAlex

Some fishes can make themselves at home anywhere, with several species thriving in subzero Antarctica while others live in temporary tide pools. Within a single species, some populations are locally adapted to particular habitats based on what they've become accustomed to over the years. However, not all species show this flexibility. To make predictions about how fish populations will change with global warming, scientists are trying to understand which fish can adapt to the heat and why.While rainbow trout are generally thought of as a cold-water fish of the Pacific Northwest, a specific population has thrived in the desert of western Australia for almost 50 years. Isolated from their original population of the San Francisco Bay area, these fish have been used to stock natural lakes, and have undergone a few traumatic heat events during their time in Australia. More than once, summer temperature extremes have killed many fish that couldn't handle the heat, unintentionally selecting for fish with impressive upper temperature limits. Olivia Adams from the University of British Columbia, Canada, with colleagues from the same university, Harvard University, USA, the University of Western Australia and Aquatic Life Industries in Perth, Australia, wanted to investigate if a lengthy exposure to warm temperatures would improve this population's already remarkable ability to withstand extreme heat.To answer this question, the team raised groups of 1-year-old trout at six different temperatures ranging from 15 to 25°C for at least 1 month. Typically, to understand how fish cope with increased temperature, scientists focus on one or a few measures, such as growth or upper thermal limit, in a single study. But in the most comprehensive study to date, Adams and colleagues were able to look at how temperature affected the growth, energy it takes to digest a meal, physical fitness, upper temperature limit, ability to withstand low oxygen, and heart rate of these animals raised at 15, 17, 19, 21, 23 and 25°C.The Australian rainbow trout showed off their skills, with just about every aspect of their performance peaking in the groups of fish raised at 17–23°C. At these temperatures, fish had the best growth, used the least energy to digest dinner and, when exercised, were the most physically fit. These fish could even endure temperatures up to 31°C before toppling over (which is how scientists typically measure a fish's upper thermal limits). Impressively, the fish raised at 25°C were still able to grow and could also handle temperatures up to 31°C before losing their balance, but they began to struggle with digestion and fitness, and couldn't tolerate low oxygen as well as the other groups. And when the scientists tested how the fish hearts handle a brief heat exposure, they actually started to fail at 27°C, well below the temperature at which they topple over. While fish raised at 25°C show some remarkable performance in growth and increased upper thermal limits, they are noticeably limited in other ways. By using a variety of tests, Adams and colleagues presented detailed evidence that this population optimally perform at 21–23°C, which is an incredible feat when rainbow trout are thought to do best below 20°C.While clearly superstars, Australian rainbow trout aren't the only trout population that can handle the heat. Their cousins, redband rainbow trout, are geographically isolated in the desert region of the Pacific Northwest, where they regularly encounter summer temperatures between 19 and 29°C. Adams and colleagues suggest that rainbow trout may naturally carry the genes that they require to tolerate high temperatures. With a combination of artificial and natural selection, populations like the Australian rainbow trout have been able to tap into that latent heat-tolerant talent and give us a bit of hope for the future in a warming climate.

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)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil0,156

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0000,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0470,019

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 Opus0,022
Tête enseignante GPT0,269
Écart entre enseignants0,247 · 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'étudeObservationnel
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
Publié2022
Routes d'admission2
Résumé présentoui

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Même revueJournal of Experimental Biology→Même sujetPhysiological and biochemical adaptations→Travaux en français237 207→