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Record W2808233476 · doi:10.1242/jeb.184929

Central nervous system shutdown causes cold flies to keel over

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

Bibliographic record

VenueJournal of Experimental Biology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
Fundersnot available
KeywordsDrosophila (subgenus)BiologyShutdownCold winterEcologyNeuroscienceMeteorologyEngineeringGeography

Abstract

fetched live from 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’.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.038
GPT teacher head0.342
Teacher spread0.305 · 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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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