Back

Survey of white-footed mice in Connecticut, USA reveals low SARS-CoV-2 seroprevalence and infection with divergent betacoronaviruses

Earnest, R.; Hahn, A. M.; Feriancek, N. M.; Brandt, M.; Filler, R. B.; Zhao, Z.; Breban, M. I.; Vogels, C. B. F.; Chen, N. F. G.; Koch, R. T.; Porzucek, A. J.; Sodeinde, A.; Garbiel, A.; Keanna, C.; Litwak, H.; Stuber, H. R.; Cantoni, J. L.; Pitzer, V. E.; Olarte Castillo, X. A.; Goodman, L. B.; Wilen, C. B.; Linske, M. A.; Williams, S. C.; Grubaugh, N. D.

2023-09-25 ecology
10.1101/2023.09.22.559030 bioRxiv
Show abstract

Diverse mammalian species display susceptibility to and infection with SARS-CoV-2. Potential SARS-CoV-2 spillback into rodents is understudied despite their host role for numerous zoonoses and human proximity. We assessed exposure and infection among white-footed mice (Peromyscus leucopus) in Connecticut, USA. We observed 1% (6/540) wild-type neutralizing antibody seroprevalence among 2020-2022 residential mice with no cross-neutralization of variants. We detected no SARS-CoV-2 infections via RT-qPCR, but identified non-SARS-CoV-2 betacoronavirus infections via pan-coronavirus PCR among 1% (5/468) of residential mice. Sequencing revealed two divergent betacoronaviruses, preliminarily named Peromyscus coronavirus-1 and -2. Both belong to the Betacoronavirus 1 species and are [~]90% identical to the closest known relative, Porcine hemagglutinating encephalomyelitis virus. Low SARS-CoV-2 seroprevalence suggests white-footed mice may not be sufficiently susceptible or exposed to SARS-CoV-2 to present a long-term human health risk. However, the discovery of divergent, non-SARS-CoV-2 betacoronaviruses expands the diversity of known rodent coronaviruses and further investigation is required to understand their transmission extent.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.