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Record W2161102160 · doi:10.1139/cjz-2014-0181

Response of the honey bee (<i>Apis mellifera</i>) proteome to Israeli acute paralysis virus (IAPV) infection

2014· article· en· W2161102160 on OpenAlexafffundvenue
Sarah Michaud, Humberto Boncristiani, Joost W. Gouw, Micheline K. Strand, Jeffrey S. Pettis, Olav Rueppell, Leonard J. Foster

Bibliographic record

VenueCanadian Journal of Zoology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchNational Institute of Food and AgricultureNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanadian Bee Research Fund
KeywordsBiologyHoney beeProteomeDeformed wing virusHost (biology)VirologyMicrobiologyZoologyGeneticsVarroa destructor

Abstract

fetched live from OpenAlex

Recent declines in honey bee (Apis mellifera L., 1758) populations worldwide have spurred significant research into the impact of pathogens on colony health. The role of the Israeli acute paralysis virus (IAPV) on hive mortality has become of particular concern since being correlated with colony losses. However, the molecular interactions between IAPV and its host remain largely unknown. To investigate changes in host protein expression during IAPV infection, mass-spectrometry-based quantitative proteomics was used to compare IAPV-infected and healthy pupae. Proteins whose expression levels changed significantly during infection were identified and functional analysis was performed to determine host systems and pathways perturbed by IAPV infection. Among the A. mellifera proteins most affected by IAPV, those involving translation and the ubiquitin–proteasome pathway were most highly enriched and future investigation of these pathways will be useful in identifying host proteins required for infection. This analysis represents an important first step towards understanding the honey bee host response to IAPV infection through the systems-level analysis of protein expression.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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 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

Citations11
Published2014
Admission routes3
Has abstractyes

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