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Enregistrement W2808233476 · doi:10.1242/jeb.184929

Central nervous system shutdown causes cold flies to keel over

2018· article· en· W2808233476 sur OpenAlexaboutno aff
Kathryn Knight

Notice bibliographique

RevueJournal of Experimental Biology · 2018
Typearticle
Langueen
DomaineNeuroscience
ThématiqueNeurobiology and Insect Physiology Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDrosophila (subgenus)BiologyShutdownCold winterEcologyNeuroscienceMeteorologyEngineeringGeography

Résumé

récupéré en direct d'OpenAlex

If you're not a fan of insects, then you may prefer chilly days. ‘Most insects go into a coma when they are cooled’, says Mads Andersen from Aarhus University, Denmark, explaining that they usually begin to lose the ability to move a few degrees before the full coma takes hold. However, it was not clear why cold insects keel over. ‘It was obviously caused by some sort of shutdown of neuromuscular function’, says Andersen, but whether it was a failure of the muscle or an inability to sense the environment and respond was not clear. More recently, studies had suggested that muscle may not be the culprit, so Andersen and his colleagues Johannes Overgaard (also from Aarhus) and Meldrum Roberts from Queen's University, Canada, decided to compare how the nervous systems of fruit flies that hale from different climates cope as the temperature falls.Equipped with five species of Drosophila – ranging from tropical Drosophila birchii to temperate Drosophila montana – from Overgaard's lab stocks, Andersen travelled to Canada to find out how well they tolerate the cold. ‘The techniques that we wanted to use to investigate central nervous system function had recently been established in Meldrum's lab’, says Andersen, who had to learn how to carefully insert a minute electrode into the fly's micro-dot sized brain to measure the electrical activity of the neurons that control movement as the fly was cooled. ‘This was very difficult’, recalls Andersen, adding, ‘The only way we have to test if we're in the right spot is to cool the fly; it's hit or miss’, he laughs. After gently cooling the insects, it was clear that the tropical flies (D. birchii) were much more vulnerable, losing the use of their central nervous systems as charge drained out of the neurons and they descended into a coma at 10.3°C, while the more robust temperate flies (D. montana) held out until 1.1°C. Andersen then painstakingly inserted a second electrode to measure potassium concentrations in the brain and it was clear that potassium flooded out of the neurons at the temperature where the fly slipped into a coma, with the tropical species suffering larger potassium losses than the temperate species. ‘The central nervous system shutdown is likely caused by a mismatch between passive and active ion transport’, says Andersen.After Andersen's return to Denmark, he and Overgaard wondered how the nervous systems of one of the species, Drosophila melanogaster, would cope when the insects were chilled if they had previously been acclimated to different temperatures. ‘I had to build a new system capable of making the same measurements [in Aarhus]’, says Andersen, who teamed up with undergraduate Nikolaj Jensen to acclimate the insects to temperatures ranging from 15 to 25°C and measure when their nervous systems failed. This time, the warmest acclimated insects slipped into a coma at 5.6°C, while insects that had acclimated to a cool 15°C held out until 1.8°C. And when Andersen and Jensen compared how long it took for the different species and temperature-adapted flies to fall into a coma when oxygen was withdrawn, again the tougher cold-adapted species (D. montana) held out the longest (19.8 s), while the tropical species (D. birchii) succumbed within 10.5 s.Having shown that flies become incapacitated at low temperature because their nervous system ceases to function, Andersen adds that this partially explains the global distributions of different insect populations and says: ‘Comatose insects are “ecologically dead” (they cannot move or reproduce), meaning that the temperature where central nervous function is lost limits where insects can establish a population’.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,038
Tête enseignante GPT0,342
Écart entre enseignants0,305 · 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
Publié2018
Routes d'admission1
Résumé présentoui

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