Response of the honey bee (<i>Apis mellifera</i>) proteome to Israeli acute paralysis virus (IAPV) infection
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".