生物
人病毒体
传输(电信)
病毒进化
病毒学
白足鼠
人口瓶颈
天然水库
进化生物学
人口
自然选择
否定选择
遗传学
病毒
基因组
动物
基因组
基因
社会学
工程类
微卫星
人口学
等位基因
电气工程
作者
Frances K. Shepherd,Shanley N. Roach,Autumn E. Sanders,Yanan Liu,Dira S. Putri,Rong Li,Nathan Merrill,Mark Pierson,Sergei V. Kotenko,Zhongde Wang,Ryan A. Langlois
出处
期刊:MBio
[American Society for Microbiology]
日期:2024-09-06
卷期号:15 (10): e0165024-e0165024
被引量:2
标识
DOI:10.1128/mbio.01650-24
摘要
ABSTRACT When a virus crosses from one host species to another, the consequences can be devastating. However, animal models to empirically evaluate cross-species transmission can fail to recapitulate natural transmission routes, physiologically relevant doses of pathogens, and population structures of naturally circulating viruses. Here, we present a new model of cross-species transmission where deer mice ( Peromyscus maniculatus ) are exposed to the natural virome of pet store mice ( Mus musculus ). Using RNA sequencing, we tracked viral transmission via fecal–oral routes and found the evidence of transmission of murine astroviruses, coronaviruses, and picornaviruses. Deep sequencing of murine kobuvirus revealed tight bottlenecks during transmission and purifying selection that leaves limited diversity present after transmission from Mus to Peromyscus . This work provides a structure for studying viral bottlenecks across species while keeping natural variation of viral populations intact and a high resolution look at within-host dynamics that occur during the initial stages of cross-species viral transmission. IMPORTANCE Viral spillover events can have devastating public health consequences. Tracking cross-species transmission in real-time and evaluating viral evolution during the initial spillover event are useful for understanding how viruses adapt to new hosts. Using our new animal model and next generation sequencing, we develop a framework for understanding intrahost viral evolution and bottleneck events, which are very difficult to study in natural transmission settings.
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