Coculture with Eastern oysters is unlikely to reduce OsHV-1 impacts to farmed Pacific oysters: A modelling approach
Bibliographic record
Abstract
In recent decades, the global expansion of Pacific oyster Magallana gigas aquaculture, driven by this species’ adaptability and rapid growth, has coincided with the emergence of novel and virulent microvariants ( mu vars) of Ostreid herpesvirus 1 (OsHV-1), causing significant industry losses. As a potential alternative, the eastern oyster ( Crassostrea virginica ) demonstrates lower susceptibility to OsHV-1. This study developed a transmission model for OsHV-1 in mixed oyster aquaculture systems, focusing on the impact of C. virginica introductions on transmission dynamics within established M. gigas systems. The model considers oyster growth, mortality, filtration, viral particle release, and environmental decay. In the absence of experimental data on OsHV-1 infection dynamics in co-culture systems, the model was evaluated using data from monoculture systems. Additionally, the co-culture model was validated for mathematical accuracy and behavior across varying species proportions of M. gigas/C. virginica (90/10, 60/40, 50/50, 40/60, 10/90). Simulation results indicated that introducing C. virginica did not impede OsHV-1 progression; even in the M. gigas/C. virginica 10/90 system, M. gigas mortality reached its maximum, albeit delayed by approximately 10 days. Coculture scenarios did not provide a significant advantage for M. gigas , likely due to OsHV-1 particle saturation in the water column. The model’s performance across diverse scenarios positions it as a valuable tool for understanding waterborne pathogen dynamics in mixed host-species systems, supporting investigations into aquaculture species introductions and their influence on disease dynamics. • A continuous OsHV-1 time model for C. virginica and M. gigas coculture system is developed. • The model is preliminary verified and evaluated against empirical data. • C. virginica introduction into M. gigas system does not limit OsHV-1 infection nor mortality in M. gigas.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".