In Silico Infection Analysis (iSFA) Identified Coronavirus Infection and Potential Transmission Risk in Mammals.

ABSTRACT: Coronaviruses are a great source of threat to public health which could infect various species and cause diverse diseases. However, the epidemic's spreading among different species remains elusive. This study proposed an in silico infection analysis (iSFA) system that includes pathogen genome or transcript mining in transcriptome data of the potential host and performed a comprehensive analysis about the infection of 38 coronaviruses in wild animals, based on 2,257 transcriptome datasets from 89 mammals' lung and intestine, and revealed multiple potential coronavirus infections including porcine epidemic diarrhea virus (PEDV) infection in Equus burchellii. Then, through our transmission network analysis, potential intermediate hosts of five coronaviruses were identified. Nota

SUBMITTER: Zou Y 

PROVIDER: S-EPMC8861533 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature