Detection and genetic characterization of bat MERS‐related coronaviruses in Japan
Bibliographic record
Abstract
Betacoronaviruses, containing sarbecoviruses such as severe acute respiratory syndrome coronaviruses (SARS-CoV) and merbecovirus such as Middle East respiratory syndrome coronavirus (MERS-CoV), caused three human outbreaks in the past 2 decades; in particular, SARS-CoV-2 has caused the coronavirus disease 2019 pandemic. Since the ancestor of betacoronaviruses originated from wild bats, unidentified bat betacoronaviruses are presumed to be transmitted to humans in the future. In this study, we detected novel bat merbecoviruses from Vespertilio sinensis and Eptesicus japonensis, belonging to the family Vespertilionidae, in Japan. We found that these merbecoviruses were phylogenetically most closely related to the those previously detected in China. Alignment of the predicted receptor-binding motif on the spike proteins indicated that the Japanese bat merbecoviruses did not possess the specific amino acid residues that could be responsible for binding of MERS-CoV to the human dipeptidyl peptidase-4 receptor, which is unlikely to infect humans. This study demonstrated that bat merbecoviruses are widely conserved in multiple bat species of Vespertilionidae in East Asia, emphasizing the need for extensive epidemiological and biological studies on bat betacoronaviruses to facilitate the risk assessment of their spillover potential to humans.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".