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Record W1979699983 · doi:10.1139/f02-106

Rapid Communication / Communication RapideEmamectin benzoate induces molting in American lobster, <i>Homarus americanus</i>

2002· article· en· W1979699983 on OpenAlexvenueno aff
S. L. Waddy, L.E. Burridge, Melanie Hamilton, Sarah M Mercer, D. E. Aiken, K. Haya

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
FundersDivision of Ocean Sciences
KeywordsHomarusAmerican lobsterMoultingBiologyLepeophtheirusCrustaceanSalmoEmamectin benzoateEcdysisMudaZoologyFisheryLarvaEcologyPesticideFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Emamectin benzoate (nominal dose 1 μg·g body weight –1 ) caused female American lobster (Homarus americanus) to enter proecdysis and molt prematurely (44% vs. 0% of the control lobster, P &lt; 0.001). Lobster bearing eggs when proecdysis was induced aborted their broods. This chemical is the active ingredient in a new feed additive being used to control sea lice (Lepeophtheirus salmonis and Caligus spp.) infestations on farmed salmon (predominantly Salmo salar). The response of the American lobster to emamectin benzoate was unexpected, as avermectins inhibit or delay ecdysis in insects. We hypothesize that emamectin benzoate is interfering with the neuropeptides that modulate the production of molting hormone in lobster and that the diametric response of insects and lobster to this chemical is due to the difference in the neuroendocrine control of the molting glands of these two groups of arthropods (inhibitory in crustaceans, but stimulatory in insects). This is the first report of a crustacean molting prematurely in response to chemical exposure and the first report that a GABAergic (γ-aminobutyric acid) pesticide can cause premature molting in an arthropod.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.029
GPT teacher head0.222
Teacher spread0.194 · 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

Citations55
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic SciencesSame topicCrustacean biology and ecologyFrench-language works237,207