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Viral outbreak dynamics and evolution in wildlife at the interface with humans

Title: Viral outbreak dynamics and evolution in wildlife at the interface with humans
Authors: Giglio, Rachael Marie; Westmoreland, Aaron; Wilber, Mark; Wilson-Henjum, Grete; Chan, Aung Nyein; Gardner, Billy; Horpiencharoen, Wantida; Gagne, Roderick B.; Corondi, Avery; Baker, Alec; Combs, Matthew; Chandler, Jeffrey; Manlove, Kezia; Pepin, Kim M.; Walter, W. David
Contributors: U.S. Department of Agriculture Animal and Plant Health Inspection Service
Source: Biology Letters ; volume 21, issue 12 ; ISSN 1744-957X
Publisher Information: The Royal Society
Publication Year: 2025
Description: In this study, we used a multi-faceted approach to understand patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and persistence in a wild white-tailed deer (Odocoileus virginianus) population. Serology data indicated transmission of SARS-CoV-2 and persistence during the seven-month sampling period. Traditional disease modelling based on deer-to-deer transmission indicated relatively low prevalence with an R0 of 1.9 and recovery period of 7 days; however, individual-based modelling informed by GPS tracked-movement data captured a potential transmission event. Phylogenetic analyses revealed a recurring pattern of divergent groups of deer-derived sequences with human-derived sequences falling close to each deer-derived cluster. Further, human-derived sequences were frequently sampled months prior to the deer-derived sequences, indicating repeated human to deer spillover. Using multiple types of data as well as both fine and broad scale analyses, we have characterized a pattern of localized outbreaks of SARS-CoV-2 within white-tailed deer populations that are likely recurring due to frequent spillover events. Our results suggest that while deer-to-deer transmission occurs over small spatiotemporal scales, SARS-CoV-2 persistence over longer periods and across larger regions is likely driven by repeated spillover from human populations.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1098/rsbl.2025.0540
DOI: 10.1098/rsbl.2025.0540/4416012/rsbl.2025.0540.pdf
Availability: https://doi.org/10.1098/rsbl.2025.0540; https://royalsocietypublishing.org/rsbl/article-pdf/doi/10.1098/rsbl.2025.0540/4416012/rsbl.2025.0540.pdf
Rights: http://creativecommons.org/licenses/by/4.0/ ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.3296E197
Database: BASE