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Record W2996493368 · doi:10.1007/s13592-019-00710-y

Grooming behavior and gene expression of the Indiana “mite-biter” honey bee stock

2019· article· en· W2996493368 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApidologie · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of Guelph
FundersDepartment of Agriculture, Philippines
KeywordsBiologyMiteVarroa destructorPopulationVarroaZoologyDestructorToxicologyBotanyVeterinary medicineDemography

Abstract

fetched live from OpenAlex

Abstract This study was conducted to evaluate the Indiana “mite-biter” honey bee stock, which has been selected for increased mutilation of Varroa destructor mites (“mite biting” behavior). A comparison between colonies of the selected stock and colonies of unselected Italian bees showed that the proportion of mutilated mites, the severity of mutilations, and winter colony survival were higher in Indiana mite-biter colonies. Additionally, the number of fallen mites and the rate of mite population growth were lower in the colonies of the selected genotype than in those of the unselected genotype. The expression of a gene associated with grooming behavior, AmNrx-1 ( neurexin ), was significantly higher in the selected stock. Moreover, AmNrx-1 expression was positively correlated with the proportion of mutilated mites but not with mite population growth. AmNrx-1 may have the potential to be used for marker-assisted selection. This study provides evidence that selection for mite-biting behavior reduces V. destructor infestations, increases colony survival and increases the expression of a grooming behavior–associated gene.

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.

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 categoriesnone
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 score0.313
Threshold uncertainty score0.519

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 science0.0000.000
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 head0.052
GPT teacher head0.271
Teacher spread0.219 · 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