A Novel Coronavirus from Patients with Pneumonia in China, 2019
Новый коронавирус у пациентов с пневмонией в Китае, 2019 год
2020-01-24
SCID: 54.1/dpp7th65
Discuss with AI
2019-nCoVhuman airway epithelial cellsnovel betacoronavirussarbecovirusunbiased sequencing
Figures from the paper
Abstract (AI)
In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.).
Key Findings
1
2019-nCoV was identified as the seventh coronavirus known to infect humans and was distinct from both MERS-CoV and SARS-CoV.
2
A previously unknown betacoronavirus was identified in patients with pneumonia of unknown cause in Wuhan, China, in December 2019.
3
Phylogenetic analysis placed 2019-nCoV within the sarbecovirus subgenus of the Orthocoronavirinae subfamily.
4
The virus was isolated using human airway epithelial cells, providing direct evidence of its ability to infect human respiratory tissue.
5
Unbiased sequencing of patient samples enabled discovery of the novel coronavirus, which was named 2019-nCoV.
Research Object
The novel human betacoronavirus 2019-nCoV isolated from patients with pneumonia in Wuhan, China
Research Subject
The virus’s genomic and phylogenetic characteristics, taxonomic classification, and ability to infect human airway epithelial cells
Publication Details
Publication Date
2020-01-24
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest