Author: Gorse, Geoffrey J.; Patel, Gira B.; Fan, Xiaofeng
Title: Interpatient mutational spectrum of human coronavirusâ€OC43 revealed by illumina sequencing Cord-id: cnwqvgy2 Document date: 2017_3_14
ID: cnwqvgy2
Snippet: Human coronaviruses (HCoV) are RNA viruses that cause respiratory tract infections with viral replication of limited duration. The host and viral population heterogeneity could influence clinical phenotypes. Employing long RTâ€PCR with Illumina sequencing, we quantified the gene mutation load at 0.5% mutation frequency for the 4529 bpâ€domain spanning the Spike gene (4086 bp) of HCoVâ€OC43 in four upper respiratory clinical specimens obtained during acute illness. There were a total of 121 mu
Document: Human coronaviruses (HCoV) are RNA viruses that cause respiratory tract infections with viral replication of limited duration. The host and viral population heterogeneity could influence clinical phenotypes. Employing long RTâ€PCR with Illumina sequencing, we quantified the gene mutation load at 0.5% mutation frequency for the 4529 bpâ€domain spanning the Spike gene (4086 bp) of HCoVâ€OC43 in four upper respiratory clinical specimens obtained during acute illness. There were a total of 121 mutations for all four HCoV samples with the average number of mutations at 30.3 ± 10.2, which is significantly higher than that expected from the Illumina sequencing error rate. There were two mutation peaks, one at the 5′ end and the other near position 1 550 in the S1 subunit. Two coronavirus samples were genotype B and two were genotype D, clustering with HCoVâ€OC43 strain AY391777 in neighborâ€joining tree phylogenetic analysis. Nonsynonymous mutations were 76.1 ± 14% of mutation load. Although lower than other RNA viruses such as hepatitis C virus, HCoVâ€OC43 did exhibit quasiâ€species. The rate of nonsynonymous mutations was higher in the HCoVâ€OC43 isolates than in hepatitis C (HCV) virus genotype 1a isolates analyzed for comparison in this study. These characteristics of HCoVâ€OC43 may affect viral replication dynamics, receptor binding, antigenicity, evolution, transmission, and clinical illness.
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