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Record W2967774767 · doi:10.1139/cjm-2019-0284

Role of lipids in the thermal plasticity of basidial fungus <i>Favolaschia manipularis</i>

2019· article· en· W2967774767 on OpenAlexvenueno aff
Svetlana V. Senik, Nadezhda V. Psurtseva, Alexey L. Shavarda, Е. Р. Котлова

Bibliographic record

VenueCanadian Journal of Microbiology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsBilayerPhosphatidic acidDegree of unsaturationErgosterolLipid bilayerMembrane fluidityMembrane lipidsPhospholipidChemistryLipid microdomainLipid bilayer phase behaviorMembraneBiochemistryBiophysicsBiologyChromatography

Abstract

fetched live from OpenAlex

(Berk.) Teng, which differ in their adaptive potential to high (35 °C) and low (5 °C) temperatures. The results suggest that adaptation to extreme temperatures involves a change in the molecular composition of sterols, in addition to other well-known mechanisms of regulating membrane thickness and fluidity, such as changes in the lipid unsaturation and in the proportion of bilayer- and non-bilayer-forming lipids. It was demonstrated for the first time that adaptation to high temperature stress in fungi is accompanied by the accumulation of 9(11)-dehydroergosterol and ergosterol peroxide. Furthermore, increased thermal plasticity correlates with high storage lipid (triglycerides) content, accumulation of phosphatidic acid in the membrane, and an equal proportion of bilayer and non-bilayer lipids in the membrane.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

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