MétaCan
Menu
← Back to cohort
Record W4214946716 · doi:10.1242/jeb.243445

How summer sleepers stave off desiccation

2022· article· en· W4214946716 on OpenAlexaff
Andrea Murillo

Bibliographic record

VenueJournal of Experimental Biology · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAestivationCreaturesEcologyBurrowDesiccationTorporBiologyFossorialGeographyThermoregulationArchaeologyNatural (archaeology)

Abstract

fetched live from OpenAlex

Have you ever left your house on a sweltering day and immediately gone back inside because it is too hot to even think? Not all creatures have the luxury of escaping torrid heat, so some have found ways to survive even when their homes become as dry as a bone. They can either deal with water shortages and scorching temperatures or use a hibernation-like ‘summer sleep’ called aestivation, when they become inactive and shut off most biological processes except those necessary for survival. Aestivating animals such as earthworms can alter which genes they turn off and on to survive until the rains return. These stoic burrowers are also true unsung heroes in our battle against the effects of climate change because they help store carbon in the ground and help other smaller animals by providing shelter while they undergo aestivation. Since scientists predict climate change will increase the number of droughts, figuring out how these climate change mitigators aestivate during an exceptionally dry summer is critical. Natasha Tilikj and Marta Novo from the Complutense University of Madrid, Spain, investigated which genes earthworms (Carpetania matritensis) from the Iberian Peninsula activate and switch off during aestivation.The duo collected earthworms from El Molar, Spain, and returned with them to the lab. Once there, the team needed the right soil conditions to produce both active and aestivating worms – when they tie themselves into mucus-covered knots – to compare the two. To reproduce the correct conditions, they placed some worms in dry soil to encourage them to begin aestivating and maintained the remaining worms in moist soil to keep them active. After a month, the team checked whether or not the worms were aestivating and then analyzed how the animals changed the patterns of gene expression – which genes they upregulated and which they downregulated – after slipping into a summer sleep.Unsurprisingly, the team found that the aestivating worms reduced expression of most genes. Other aestivating animals conserve energy by destroying and producing fewer proteins, to extend their state of suspended animation until conditions improve, and worms could be using the same strategy. The aestivating worms reduced expression of genes involved in the production of proteins and other macromolecules in addition to genes involved in protein breakdown and digestion. As worms go into this state of dormancy, they shut down processes that are not vital for survival. The team also found evidence that the worms were under stress and increased the levels of toxic oxygen by-products, known as reactive oxygen species, which can damage DNA after aestivation. In addition, there was an increase in the expression of genes that typically help combat and repair the DNA damage caused by these harmful products, and the stress experienced by the worms also activated the worms’ immune response for protection from possible infection.Finally, the team discovered that aestivating worms may stave off water loss using an innovative mechanism that researchers have yet to study in earthworms: the worms increased the expression of genes involved in the production of the amino acid arginine. The duo suggest that an increase in arginine, or a build-up of nitrogenous waste, might reduce the amount of water lost by the worms.Aestivating earthworms employ various strategies to survive desiccation. With increasing drought in the future, whether these protective mechanisms will be sufficient is unknown. The researchers recommend further investigation into the role of digestion, excretion and the central nervous system in aestivation to help scientists design better drought mitigation strategies to protect these uncelebrated champions of the subterranean world.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.030
GPT teacher head0.268
Teacher spread0.238 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Experimental Biology→Same topicPhysiological and biochemical adaptations→French-language works237,207→