Frontiers in MedicineGeneticsPeer-reviewed journal article
Population Bottlenecks and Intra-host Evolution during Human-to-Human Transmission of SARS-CoV-2Population Bottlenecks and Intra-host Evolution during Human-to-Human Transmission of SARS-CoV-2
Daxi WangiD, Yanqun WangiD, Wanying Sun, Lu ZhangiD, Jingkai JiiD, Zhaoyong ZhangiD, Xinyi Cheng, Yimin LiiD, Fei XiaoiD, Airu ZhuiD, Bei Zhong, Shicong Ruan, Jiandong LiiD, Peidi Ren, Zhihua OuiD, Minfeng XiaoiD, Min LiiD, Ziqing DengiD, Huanzi ZhongiD, Fuqiang LiiD, Wenjing WangiD, Yongwei ZhangiD, Weijun CheniD, Shida ZhuiD, Xun XuiD, , Yonghao XuiD
Abstract
The emergence of the novel human coronavirus, SARS-CoV-2, causes a global COVID-19 (coronavirus disease 2019) pandemic. Here, we have characterized and compared viral populations of SARS-CoV-2 among COVID-19 patients within and across households. Our work showed an active viral replication activity in the human respiratory tract and the co-existence of genetically distinct viruses within the same host. The inter-host comparison among viral populations further revealed a narrow transmission bottleneck between patients from the same households, suggesting a dominated role of stochastic dynamics in both inter-host and intra-host evolutions. Author summaryIn this study, we compared SARS-CoV-2 populations of 13 Chinese COVID-19 patients. Those viral populations contained a considerable proportion of viral sub-genomic messenger RNAs (sgmRNA), reflecting an active viral replication activity in the respiratory tract tissues. The comparison of 66 identified intra-host variants further showed a low viral genetic distance between intra-household patients and a narrow transmission bottleneck size. Despite the co-existence of genetically distinct viruses within the same host, most intra-host minor variants were not shared between transmission pairs, suggesting a dominated role of stochastic dynamics in both inter-host and intra-host evolutions. Furthermore, the narrow bottleneck and active viral activity in the respiratory tract show that the passage of a small number of virions can cause infection. Our data have therefore delivered a key genomic resource for the SARS-CoV-2 transmission research and enhanced our understanding of the evolutionary dynamics of SARS-CoV-2.
- organism: human
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: variant calling
- research focus: benchmarking
- approach: statistical model
- Citations
- 39
- FWCI
- 2.93
- Field percentile
- top 7%
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