Evidence map›Paper›PMID 40529886›Full record

ArticleSmall science2025

Supercooling of Alaskan Beetle Larvae as a Winter Survival Strategy.

Chris J Benmore, Leighanne C Gallington, Henry Vu, John G Duman, Brian M Barnes, Todd L Sformo

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chris J BenmoreX-Ray Science Division Advanced Photon Source Argonne National Laboratory Lemont IL 60439 USA.ORCID https://orcid.org/0000-0001-7007-7749
Leighanne C GallingtonX-Ray Science Division Advanced Photon Source Argonne National Laboratory Lemont IL 60439 USA.
Henry VuDepartment of Biological Sciences University of Notre Dame Box 369 Notre Dame IN 46556 USA.
John G DumanDepartment of Biological Sciences University of Notre Dame Box 369 Notre Dame IN 46556 USA.
Brian M BarnesInstitute of Arctic Biology University of Alaska Fairbanks Fairbanks AK 99723 USA.
Todd L SformoInstitute of Arctic Biology University of Alaska Fairbanks Fairbanks AK 99723 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insects are able to survive subfreezing temperatures by either limiting ice crystal formation in their bodies or through freeze avoidance. Beetle larvae are able to avoid freezing in winter by dehydrating in the fall months and replacing their body water content with high concentrations of glycerol. This enables the body fluid of the insect to supercool, and even vitrify, recovering unharmed when the temperature warms in the spring. Using nondestructive, high-energy X-ray synchrotron diffraction experiments, direct insight into how cryopreservation occurs at the atomic level within the beetle larvae has been obtained. The results shed light on the molecular-level interactions associated with the mechanism responsible for surviving freezing temperatures. The molecular models of severely dehydrated Alaskan beetle larvae, based on glycerol-water mixtures, yield a total of 4.2 ± 1.2 intermolecular hydrogen bonds per glycerol molecule at 275 K, in good agreement with existing molecular dynamics simulations. Most importantly, they show that if just over half the body fluid content is water, the water clusters are too small to form ice crystals that cause cellular damage.

Indexed as

cryopreservationfreeze avoidanceglycerol–watermolecular modelingvitrificationX‐ray diffraction

Identifiers

PMID40529886
PMCPMC12168606

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.