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Record W3190744780 · doi:10.1093/ee/nvab074

Physiological Mechanisms of Variable Nutrient Accumulation Patterns Between Diapausing and Non-Diapausing Fall Webworm (Lepidoptera: Arctiidae) Pupae

2021· article· en· W3190744780 on OpenAlexaff
Lvquan Zhao, Wei Wang, Ying Qiu, Alex S. Torson

Bibliographic record

VenueEnvironmental Entomology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsWestern University
FundersNatural Science Foundation of Jiangsu ProvinceNanjing Forestry University
KeywordsDiapauseBiologyPupaLepidoptera genitaliaLarvaHyphantriaZoologyInsectEcologyBotany

Abstract

fetched live from OpenAlex

Diapause is a highly advantageous strategy for winter survival for insects living in temperate environments. However, insects typically do not feed during diapause and are therefore presented with a complicated energetics problem. The fall webworm, Hyphantria cunea, overwinter as diapausing pupae, but adults of this species lose their ability to feed due to the degeneration of their mouthparts. Thus, the energy reserves stored before diapauses contribute to the survival rate and fitness of the adults after emergence. In this study, we tested the hypothesis that diapause-destined larvae of H. cunea reserve more energy by increasing feeding rate, feeding efficiency, or both, during the diapause preparation phase compared with non-diapause-destined larvae. We observed higher digestive efficiency, increased lipase and amylase activity, and lower protease activity in diapause-destined larvae compared to non-diapause-destined larvae. These differences in digestive physiology during diapause preparation lead to greater body size and mass, increased lipid and carbohydrate content, and lower soluble protein content in diapausing pupae, relative to non-diapause pupae - results consistent with our hypothesis. We conclude that diapause-destined fall webworm reserve more energy than non-diapause-destined individuals by increasing feeding efficiency, and that this increase in efficiency is at least partially driven by increased lipase and amylase activities in the midgut. This is in contrast to non-diapause-destined larvae, which likely reserve greater protein than diapause-destined larvae to help maintain their physiological function.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.241
Teacher spread0.217 · 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 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

Citations26
Published2021
Admission routes1
Has abstractyes

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