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Enregistrement W4387059545 · doi:10.1242/jeb.246673

Cold comas could stop the spread of butterflies

2023· article· en· W4387059545 sur OpenAlexaboutno aff
Jarren Kay

Notice bibliographique

RevueJournal of Experimental Biology · 2023
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeurobiology and Insect Physiology Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComa (optics)ButterflyEcologyPredationBiologyZoologyPhysicsAstronomy

Résumé

récupéré en direct d'OpenAlex

As the planet warms, animals are leaving their usual homes and venturing closer to the poles or higher into the mountains to escape the heat. Normally, these areas are protected from many insects because becoming too cold leads to a coma as their central nervous system stops working. Although the insects can survive these comas for a limited amount of time, being unable to move leaves them at risk of becoming an easy meal for predators. With this in mind, Mads Andersen and Heath MacMillan of Carleton University, Canada, working with Quentin Willot of Aarhus University, Denmark, wanted to know if this cold-induced coma – and the events happening in the nervous system that cause it – are common among all insects. Perhaps surprisingly, they turned to several species of tropical butterfly to help them answer this intriguing question.Andersen and colleagues began the difficult task of recording the electrical activity in the brains of 12 different species of tropical butterflies while slowly cooling them down. As they got colder, every butterfly eventually lost brain function, suggesting they would fall into a coma. Surprisingly, the butterflies did so within a narrow range of temperatures between ∼3.0°C and ∼5.3°C, depending on the species. The researchers point out that cold coma has been linked to the temperature at which other insects, such as fruit flies and locusts, stop being able to coordinate their movements. In most insects, the coma is caused by an imbalance in the normal amounts of sodium and potassium ions inside and outside the nerve cells of the brain. Usually, there is more potassium inside the cells than outside, but the cold temperatures cause a rush of potassium to leave the cells, shutting them down until they can restore the usual balance of these ions. Although this happens slightly differently in butterflies, the team believe that existence of the cold-induced coma in such distantly related species suggests that this is what causes the loss of movement in all insects when the temperatures keep dropping. But can the researchers predict at what temperature the coma will start depending on the species?Andersen and colleagues constructed an evolutionary tree showing that related species of butterflies didn't necessarily fall into the coma at similar temperatures. However, when the researchers looked at where the butterflies originated, a pattern started to emerge. The temperature at which the coma would begin depended on how cold the coldest month was where the butterflies lived and the elevation they lived at. This means that the butterflies from the coldest climates or highest altitudes also had cold-induced comas beginning at the lowest temperatures. The researchers are quick to point out that the temperatures that cause these comas are 11.5°C below the average temperature of the coldest month that they would experience in the wild.While the team didn't find the differences that they were expecting, they suggest that the phenomenon of falling into a coma because you are too cold may exist in all insects since the butterflies in this study aren't closely related to either fruit flies or locusts. This also suggested that the temperature that causes the coma could predict where certain insects are able to survive. As the world gets warmer, animals are going to be found in new and unexpected places, but it might be the cold that stops them from going any further.

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)0,002
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: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

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 Opus0,068
Tête enseignante GPT0,371
Écart entre enseignants0,303 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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