Transcriptional and Translational Landscape of Equine Torovirus
Autor: | Stewart, H., Brown, K., Dinan, A.M., Irigoyen, N., Snijder, E.J., Firth, A.E. |
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Přispěvatelé: | Firth, Andrew E [0000-0002-7986-9520], Apollo - University of Cambridge Repository |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Virus Cultivation Transcription Genetic Immunology Torovirus coronavirus medicine.disease_cause Microbiology ribosomes 03 medical and health sciences Viral Proteins Virology medicine Animals Ribosome profiling Horses ORFS Gene Cells Cultured Subgenomic mRNA Coronavirus Genetics biology Sequence Analysis RNA Gene Expression Profiling RNA veterinary pathogens biology.organism_classification Genome Replication and Regulation of Viral Gene Expression 3. Good health nidovirus 030104 developmental biology Insect Science Protein Biosynthesis Host-Pathogen Interactions Torovirinae transcription |
Zdroj: | Journal of Virology, 92(17) Journal of Virology |
Popis: | Toroviruses infect cattle, goats, pigs, and horses worldwide and can cause gastrointestinal disease. There is no treatment or vaccine, and their ability to spill over into humans has not been assessed. These viruses are related to important human pathogens, including severe acute respiratory syndrome (SARS) coronavirus, and they share some common features; however, the mechanism that they use to produce sgRNA molecules differs. Here, we performed deep sequencing to determine how equine torovirus produces sgRNAs. In doing so, we also identified two previously unknown open reading frames “hidden” within the genome. Together these results highlight the similarities and differences between this domestic animal virus and related pathogens of humans and livestock. The genus Torovirus (subfamily Torovirinae, family Coronaviridae, order Nidovirales) encompasses a range of species that infect domestic ungulates, including cattle, sheep, goats, pigs, and horses, causing an acute self-limiting gastroenteritis. Using the prototype species equine torovirus (EToV), we performed parallel RNA sequencing (RNA-seq) and ribosome profiling (Ribo-seq) to analyze the relative expression levels of the known torovirus proteins and transcripts, chimeric sequences produced via discontinuous RNA synthesis (a characteristic of the nidovirus replication cycle), and changes in host transcription and translation as a result of EToV infection. RNA sequencing confirmed that EToV utilizes a unique combination of discontinuous and nondiscontinuous RNA synthesis to produce its subgenomic RNAs (sgRNAs); indeed, we identified transcripts arising from both mechanisms that would result in sgRNAs encoding the nucleocapsid. Our ribosome profiling analysis revealed that ribosomes efficiently translate two novel CUG-initiated open reading frames (ORFs), located within the so-called 5′ untranslated region. We have termed the resulting proteins U1 and U2. Comparative genomic analysis confirmed that these ORFs are conserved across all available torovirus sequences, and the inferred amino acid sequences are subject to purifying selection, indicating that U1 and U2 are functionally relevant. This study provides the first high-resolution analysis of transcription and translation in this neglected group of livestock pathogens. IMPORTANCE Toroviruses infect cattle, goats, pigs, and horses worldwide and can cause gastrointestinal disease. There is no treatment or vaccine, and their ability to spill over into humans has not been assessed. These viruses are related to important human pathogens, including severe acute respiratory syndrome (SARS) coronavirus, and they share some common features; however, the mechanism that they use to produce sgRNA molecules differs. Here, we performed deep sequencing to determine how equine torovirus produces sgRNAs. In doing so, we also identified two previously unknown open reading frames “hidden” within the genome. Together these results highlight the similarities and differences between this domestic animal virus and related pathogens of humans and livestock. |
Databáze: | OpenAIRE |
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