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Record W2992438938 · doi:10.22215/etd/2017-11819

Epigenetic Underpinnings of Freeze Tolerance in the Goldenrod Gall Fly Eurosta Solidaginis and the Goldenrod Gall Moth Epiblema Scudderiana

2017· dissertation· en· W2992438938 on OpenAlexaff
Sam M. Williamson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsGallBiologyDownregulation and upregulationEpigeneticsHistone acetyltransferaseBotanyHardiness (plants)HistoneHorticultureBiochemistryGeneCultivar

Abstract

fetched live from OpenAlex

The goldenrod gall fly Eurosta solidaginis and gall moth Epiblema scudderiana are cold hardy insects that inhabit stem galls on goldenrod plants and survive subzero temperatures during the winter.Eurosta uses a freeze tolerance strategy where it restricts the formation of ice to extracellular spaces and preserves vital intracellular functions.Epiblema supercools its bodily fluids to remain unfrozen below 0°C.This thesis examined the role of epigenetic enzymes in insect cold hardiness strategies.Cold and subzero temperature exposure in Eurosta resulted in upregulation of several DNA Methyltransferase (DNMT) enzymes, increases in DNMT and Histone Acetyltransferase (HAT) activities, and decreases in Histone Deacetylase (HDAC) and Ten-Eleven Translocation (TET) enzyme activities.Epiblema showed upregulation of several DNMT enzymes with concurrent decreases in DNMT, HAT, and HDAC activities and no change in TET activity.These findings suggest that epigenetic regulation of genes and histones underpins the winter survival strategies of these insects.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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