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Record W3181864816

Holistic Monitoring of Maine Sea Lice (Lepeoptheirus Salmonis, Kroyer, 1837) Sensitivities to Therapies: Developing a Novel Assay to Examine Lice Behavior

2020· article· en· W3181864816 on OpenAlexaboutno aff
Kathryn Liberman

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric Administration
KeywordsLepeophtheirusBiologyFisheryZoologyFish <Actinopterygii>Aquaculture
DOInot available

Abstract

fetched live from OpenAlex

Sea lice (Lepeoptheirus salmonis) present significant economic and animal welfare challenges to salmon aquaculture globally. Chemical delousing agents are used in many countries, with each nation eventually reporting sea lice developing reduced sensitivities to treatments. While some countries have in place sea lice sensitivity monitoring programs, that is not the case in Maine, USA. Although chemical delousing agents are not currently used in Maine, they have been used in the past and are currently used in neighboring Canadian salmon farms. Different bay management areas (BMAs) were sampled during different seasons to determine if there is a seasonal or spatial component to sea lice sensitivities in Maine. Sampling could not be completed for all seasons or BMAs. Using traditional toxicity bioassay methods, lice were exposed to three common chemical delousing agents (emamectin benzoate, hydrogen peroxide, and azamethiphos) to assess their sensitivities to each. It was found that lice in BMA1 had reduced sensitivities to emamectin benzoate. Lice demonstrated sensitivity to azamethiphos. Sea lice initially demonstrated sensitivity to hydrogen peroxide, but after 24 hours post treatment many of the lice had recovered. These variable results highlight the continued need for sea lice sensitivity monitoring in Maine. A monitoring program would help sea lice mitigation strategies on salmon farms. While traditional toxicity bioassays are useful, they are limited in scope in that they do not consider the sublethal effects of chemical delousing agents on copepodid sea lice. Furthermore, previous methods studying sea lice behavior are typically costly or require extensive equipment setups. A novel behavioral method was developed to assess copepodid behavior in response to exposure to naturally derived compounds. Sea lice behaviors observed using this methodology were similar to sea lice foraging behaviors described in previous work. Contrary to what was demonstrated in previous studies and hypothesized in this thesis, sea lice exposed to isophorone did not exhibit increased overall activity levels or a positive chemotaxis towards the olfactory stimulus. This result suggests that isophorone may play a more complex role in the chemical ecology of salmon farms than previously thought. This highlights the need for further study of the chemical ecology of salmon semiochemicals as it is still poorly understood. The sea lice exposed to putrescine decreased overall activity levels and did not display foraging behavior. This result suggests that putrescine may act as a sea lice repellant and warrants further studies. This novel methodology for studying sea lice behavior is financially and technically accessible to all, and thus may prove to be a reliable way to advance sea lice behavior research in the future.

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 score0.002
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 integrity0.0010.000
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 head0.071
GPT teacher head0.262
Teacher spread0.190 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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