The Susceptibility of Medically Important Mosquito Species to Insect-Specific Virus Infection
Bibliographic record
Abstract
Arthropod-borne viruses (arboviruses) cause disease in humans and animals throughout the world. Many factors exacerbate the risk of virus transmission over time, including climate change and global transport. Developing methods to control their transmission is of interest, and insect-specific viruses (ISVs) pose a novel avenue for biocontrol of arboviruses at the vectorial level. Cell-fusing agent virus (CFAV) (Flaviviridae: Flavivirus) is an insect-specific flavivirus that has been seen to influence the replication of arboviruses in vitro and in vivo. The maintenance of this virus within a persistently infected colony of Aedes aegypti was investigated. Between 2022 and 2023, the colony infection rate decreased. The capacity of the virus to be horizontally transmitted through cohabitation was also assessed with Ae. aegypti, by housing infected mosquitoes with uninfected mosquitoes for 7 days. No horizontal transmission was observed. The use of CFAV-infectious cell culture to infect Ae. aegypti larvae was also tested. Infection was successful in low proportions. These results gave insight into CFAV transmission pathways and raised questions about the factors that can affect stability of CFAV over time. Negev virus (NEGV) and Piura virus (PIUV) are part of a recently discovered genus called Nelorpivirus. Not much is known about their transmission or their effects on arboviruses. Here, Ae. aegypti and Culex pipiens larvae were successfully infected via infectious cell culture. There were higher infection rates in Ae. aegypti. Both species were able to vertically transmit PIUV while only Cx. pipiens could transmit NEGV to offspring. These results demonstrate that both medically important mosquito species are susceptible to infection by NEGV and PIUV. This is also the first experimental evidence of their capacity for vertical transmission.
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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".