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Record W4409414440 · doi:10.1101/2025.04.08.647825

ICE BINDING PROTEIN ACTIVITY IS COMMON AMONG TEMPERATE PACIFIC INTERTIDAL INVERTEBRATES

2025· preprint· en· W4409414440 on OpenAlexafffundabout
Nathaniel HW Moyes, Allan K. Bertram, Katie E. Marshall

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntertidal zoneTemperate climateMarine invertebratesInvertebrateOceanographyEcologyFisheryBiologyEnvironmental scienceGeology

Abstract

fetched live from OpenAlex

Intertidal invertebrates often adopt freeze tolerance as a strategy to survive winter low tides, but the physiological mechanisms by which intertidal species survive freezing are not well understood. Ice binding proteins (IBPs) may play an important role, but their occurrence throughout the intertidal zone worldwide is not well-catalogued. Here we survey species in the intertidal zone of Vancouver, BC to assess IBP activities and the possible role they play in freeze tolerance. We conducted targeted assays in multiple intertidal species to measure three distinct activities of IBPs: ice nucleation, ice recrystallization inhibition, and thermal hysteresis. We also exposed intertidal species to a cold exposure mimicking a freezing event in the intertidal and measured survival post-exposure. We found that IBP activity was widespread across intertidal species, and that species with the highest degree of freeze tolerance also display ice nucleating activity attributable to proteins. We also found that species that live in the high intertidal appear to show more IBP activity than species that live lower in the intertidal. This work significantly increases the number of known species containing IBPs and provides a framework for sampling new species for IBP activity in the intertidal and elsewhere.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.212
Teacher spread0.199 · 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 teacher head, not a consensus.

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
Published2025
Admission routes3
Has abstractyes

Explore more

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