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Record W2048919624 · doi:10.2298/gensr1403883m

Testing the adaptive plasticity of gypsy moth digestive enzymes in response to tannic acid using phenotypic selection analysis

2014· article· en· W2048919624 on OpenAlexaff
Marija Mrdaković, Biljana Stojković, Larisa Ilijin, Milena Vlahović, Vesna Perić‐Mataruga, Jelica Lazarević

Bibliographic record

VenueGenetika · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsInstitute for Biological Sciences
FundersMinistarstvo Prosvete, Nauke i Tehnološkog Razvoja
KeywordsBiologyRobiniaTannic acidLarvaPhenotypic plasticityPopulationBotanyEcology

Abstract

fetched live from OpenAlex

The adaptive significance of plasticity of digestive enzyme responses to allelochemical stress was tested on 32 full-sib gypsy moth families from an oak forest (the Quercus population) and 26 families from a locust-tree forest (the Robinia population), reared on control or tannic acid-supplemented diets. By using the relative growth rate as a fitness measure in phenotypic selection analyses, we revealed that higher specific activity of leucine aminopeptidase in Quercus larvae and lower specific activity of trypsin in Robinia larvae were adaptive in the control environment. In Quercus larvae, elevated specific activities of leucine aminopeptidase and lipase were adaptive in the stressful environment. There were no plasticity costs for the enzyme activities in either experimental group. The obtained results suggest that adaptive plasticity of digestive enzyme activity in gypsy moth larvae contributes to optimal growth rate under various environmental conditions.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.882
Threshold uncertainty score0.274

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.055
GPT teacher head0.273
Teacher spread0.218 · 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.

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

Citations3
Published2014
Admission routes1
Has abstractyes

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