Differences in susceptibility of palaemonid shrimp species to yellow head virus (YHV) infection
Bibliographic record
Abstract
Five species of palaemonid shrimp, Macrobrachium rosenbergii, M. lanchesteri, M. sintangense, Palaemon styliferus and P. serrifer, were collected from Penaeus monodon farming areas in Thailand. Some of each species were artificially infected with yellow head virus (YHV) by injection and then monitored by RT-PCR and by immunohistochemistry using monoclonal antibodies specific to 116 kDa, 64 kDa, and 20 kDa proteins of YHV. Natural YHV infections were not detected in any of the shrimp examined. In YHV injection experiments, a high proportion of P. serrifer, P. styliferus and M. sintangense exhibited mild to moderate YHV infections at 3 d post-injection. The severity of infection was reduced in shrimp that survived to 10 and 30 d post-injection. Using immunohistochemistry and RT-PCR, a small proportion of M. lanchesteri showed very mild YHV infections at Day 3 but no infections at Days 10 and 30. No YHV infections resulted in M. rosenbergii. The evidence suggested that M. sintangense, P. styliferus and P. serrifer are susceptible to YHV and carry it for some time. In contrast, M, rosenbergii and M. lanchesteri appear to resist YHV infection and eliminate YHV efficiently. Because they display a range of responses to YHV, palaemonid shrimp may serve as a good model for studying YHV defense mechanisms in shrimp.
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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) | 0.001 | 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".