The role of m6A RNA methylation in a love-hate relationship between porcine rotavirus and host cells
Bibliographic record
Abstract
N6-methyladenosine (m6A), the most abundant mRNA modification, regulates various mRNA metabolism to affect numerous physiological processes, including immune response. Interestingly, many RNA viruses contain internal m6A modifications that contribute to viral replication and innate immune escape process, but its mechanisms remain unclear. Porcine rotavirus (PoRV) is a common cause of diarrhea and gastroenteritis in piglets. Here, we first revealed the m6A methylation profile on the PoRV genome. PoRV infection significantly reduced methyltransferase METTL3 expression and induced nuclear-cytoplasmic translocation of METTL3. The structural protein VP6 of PoRV can co-localize with METTL3 in the cytoplasm and bind to METTL3 protein, suggesting that PoRV hijacked the host METTL3 to achieve m6A methylation. On the contrary, knockdown of Mettl3 or Ythdf2 in IPEC cells inhibited the replication of PoRV. Mechanistically, silencing of Mettl3 or Ythdf2 enhanced the expression of IRF2 and IFI44L via an increase of mRNA stability of Irf2 and Ifi44l. Furthermore, knockdown of Irf2 and Ifi44l promoted viral replication in IPEC cells. In conclusion, PoRV took full advantage of METTL3 to promote replication, in turn, host reduced own m6A methylation to enhance IRF2 and IFI44L to restrain virus infection, suggesting a love-hate relationship between virus and host, and providing novel targets for developing antiviral drugs in the pig industry.
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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 | 0.001 |
| 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".